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You searched for +publisher:"University of Texas – Austin" +contributor:("Miikkulainen, Risto"). Showing records 1 – 30 of 45 total matches.

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University of Texas – Austin

1. Valsalam, Vinod K. Utilizing symmetry in evolutionary design.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Can symmetry be utilized as a design principle to constrain evolutionary search, making it more effective? This dissertation aims to show that this is indeed… (more)

Subjects/Keywords: Symmetry; Multilegged robots; Distributed controllers; Sorting networks; Evolution; Artificial neural networks

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APA (6th Edition):

Valsalam, V. K. (2010). Utilizing symmetry in evolutionary design. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-2021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Valsalam, Vinod K. “Utilizing symmetry in evolutionary design.” 2010. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2010-08-2021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Valsalam, Vinod K. “Utilizing symmetry in evolutionary design.” 2010. Web. 21 Apr 2019.

Vancouver:

Valsalam VK. Utilizing symmetry in evolutionary design. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-2021.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valsalam VK. Utilizing symmetry in evolutionary design. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-2021

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. Bahceci, Erkin. Competitive multi-agent search.

Degree: Computer Sciences, 2014, University of Texas – Austin

 While evolutionary computation is well suited for automatic discovery in engineering, it can also be used to gain insight into how humans and organizations could… (more)

Subjects/Keywords: Competitive multi-agent search; Evolutionary computation; NK model; Neuroevolution of augmenting topologies; Compositional pattern-producing network

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APA (6th Edition):

Bahceci, E. (2014). Competitive multi-agent search. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28368

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bahceci, Erkin. “Competitive multi-agent search.” 2014. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/28368.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bahceci, Erkin. “Competitive multi-agent search.” 2014. Web. 21 Apr 2019.

Vancouver:

Bahceci E. Competitive multi-agent search. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/28368.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bahceci E. Competitive multi-agent search. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28368

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. Schrum, Jacob Benoid. Evolving multimodal behavior through modular multiobjective neuroevolution.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Intelligent organisms do not simply perform one task, but exhibit multiple distinct modes of behavior. For instance, humans can swim, climb, write, solve problems, and… (more)

Subjects/Keywords: Artificial intelligence; Neuroevolution

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APA (6th Edition):

Schrum, J. B. (2014). Evolving multimodal behavior through modular multiobjective neuroevolution. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25046

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schrum, Jacob Benoid. “Evolving multimodal behavior through modular multiobjective neuroevolution.” 2014. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/25046.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schrum, Jacob Benoid. “Evolving multimodal behavior through modular multiobjective neuroevolution.” 2014. Web. 21 Apr 2019.

Vancouver:

Schrum JB. Evolving multimodal behavior through modular multiobjective neuroevolution. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/25046.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schrum JB. Evolving multimodal behavior through modular multiobjective neuroevolution. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25046

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

4. Waters, Austin Severn. Infinite-word topic models for digital media.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Digital media collections hold an unprecedented source of knowledge and data about the world. Yet, even at current scales, the data exceeds by many orders… (more)

Subjects/Keywords: Machine learning; Topic models; Variational inference; Bayesian nonparametrics

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APA (6th Edition):

Waters, A. S. (2014). Infinite-word topic models for digital media. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24968

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Waters, Austin Severn. “Infinite-word topic models for digital media.” 2014. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/24968.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Waters, Austin Severn. “Infinite-word topic models for digital media.” 2014. Web. 21 Apr 2019.

Vancouver:

Waters AS. Infinite-word topic models for digital media. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/24968.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Waters AS. Infinite-word topic models for digital media. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24968

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

5. Kohl, Nate F. Learning in fractured problems with constructive neural network algorithms.

Degree: Computer Sciences, 2009, University of Texas – Austin

 Evolution of neural networks, or neuroevolution, has been a successful approach to many low-level control problems such as pole balancing, vehicle control, and collision warning.… (more)

Subjects/Keywords: Neuroevolution algorithm; Fractured problems; NEAT; RBF-NEAT; Cascade-NEAT; SNAP-NEAT

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APA (6th Edition):

Kohl, N. F. (2009). Learning in fractured problems with constructive neural network algorithms. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/10658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kohl, Nate F. “Learning in fractured problems with constructive neural network algorithms.” 2009. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/10658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kohl, Nate F. “Learning in fractured problems with constructive neural network algorithms.” 2009. Web. 21 Apr 2019.

Vancouver:

Kohl NF. Learning in fractured problems with constructive neural network algorithms. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/10658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kohl NF. Learning in fractured problems with constructive neural network algorithms. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/10658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

6. -7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Most optimization algorithms must undergo time consuming parameter tuning in order to solve complex, real-world control tasks. Parameter tuning is inherently a bilevel optimization problem:… (more)

Subjects/Keywords: Genetic algorithms; Metaheuristics; Neural networks; Fitness approximation; Parameter tuning

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APA (6th Edition):

-7041-9136. (2015). Evolutionary bilevel optimization for complex control problems and blackbox function optimization. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31848

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7041-9136. “Evolutionary bilevel optimization for complex control problems and blackbox function optimization.” 2015. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/31848.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7041-9136. “Evolutionary bilevel optimization for complex control problems and blackbox function optimization.” 2015. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/31848.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7041-9136. Evolutionary bilevel optimization for complex control problems and blackbox function optimization. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31848

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

7. Subramoney, Anand. Evaluating modular neuroevolution in robotic keepaway soccer.

Degree: Computer Sciences, 2012, University of Texas – Austin

 Keepaway is a simpler subtask of robot soccer where three `keepers' attempt to keep possession of the ball while a `taker' tries to steal it… (more)

Subjects/Keywords: Keepaway; ESP; Kulti-component ESP; Heterogeneous agents; Task decomposition

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APA (6th Edition):

Subramoney, A. (2012). Evaluating modular neuroevolution in robotic keepaway soccer. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/20022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Subramoney, Anand. “Evaluating modular neuroevolution in robotic keepaway soccer.” 2012. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/20022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Subramoney, Anand. “Evaluating modular neuroevolution in robotic keepaway soccer.” 2012. Web. 21 Apr 2019.

Vancouver:

Subramoney A. Evaluating modular neuroevolution in robotic keepaway soccer. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/20022.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Subramoney A. Evaluating modular neuroevolution in robotic keepaway soccer. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/20022

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Bryant, Bobby Don. Evolving visibly intelligent behavior for embedded game agents.

Degree: Computer Sciences, 2006, University of Texas – Austin

 Machine learning has proven useful for producing solutions to various problems, including the creation of controllers for autonomous intelligent agents. However, the control requirements for… (more)

Subjects/Keywords: Intelligent agents (Computer software); Neural networks (Computer science); Computer games

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APA (6th Edition):

Bryant, B. D. (2006). Evolving visibly intelligent behavior for embedded game agents. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/2824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bryant, Bobby Don. “Evolving visibly intelligent behavior for embedded game agents.” 2006. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/2824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bryant, Bobby Don. “Evolving visibly intelligent behavior for embedded game agents.” 2006. Web. 21 Apr 2019.

Vancouver:

Bryant BD. Evolving visibly intelligent behavior for embedded game agents. [Internet] [Thesis]. University of Texas – Austin; 2006. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/2824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bryant BD. Evolving visibly intelligent behavior for embedded game agents. [Thesis]. University of Texas – Austin; 2006. Available from: http://hdl.handle.net/2152/2824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

9. Li, Xun, Ph. D. in computer sciences. Opponent modeling and exploitation in poker using evolved recurrent neural networks.

Degree: Computer Sciences, 2018, University of Texas – Austin

 As a classic example of imperfect information games, poker, in particular, Heads-Up No-Limit Texas Holdem (HUNL), has been studied extensively in recent years. A number… (more)

Subjects/Keywords: Computer poker; Opponent modeling; Evolutionary computation; LSTM

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APA (6th Edition):

Li, Xun, P. D. i. c. s. (2018). Opponent modeling and exploitation in poker using evolved recurrent neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68687

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Xun, Ph D in computer sciences. “Opponent modeling and exploitation in poker using evolved recurrent neural networks.” 2018. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/68687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Xun, Ph D in computer sciences. “Opponent modeling and exploitation in poker using evolved recurrent neural networks.” 2018. Web. 21 Apr 2019.

Vancouver:

Li, Xun PDics. Opponent modeling and exploitation in poker using evolved recurrent neural networks. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/68687.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li, Xun PDics. Opponent modeling and exploitation in poker using evolved recurrent neural networks. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68687

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

10. Roller, Stephen Creig. Identifying lexical relationships and entailments with distributional semantics.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Many modern efforts in Natural Language Understanding depend on rich and powerful semantic representations of words. Systems for sophisticated logical and textual reasoning often depend… (more)

Subjects/Keywords: Natural language processing; Lexical semantics; Lexical relationships; Hypernymy; Distributional semantics

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APA (6th Edition):

Roller, S. C. (2017). Identifying lexical relationships and entailments with distributional semantics. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roller, Stephen Creig. “Identifying lexical relationships and entailments with distributional semantics.” 2017. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/61528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roller, Stephen Creig. “Identifying lexical relationships and entailments with distributional semantics.” 2017. Web. 21 Apr 2019.

Vancouver:

Roller SC. Identifying lexical relationships and entailments with distributional semantics. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/61528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roller SC. Identifying lexical relationships and entailments with distributional semantics. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. -3115-1189. Fly with me : algorithms and methods for influencing a flock.

Degree: Computer Sciences, 2017, University of Texas – Austin

 As robots become more affordable, they will begin to exist in the world in greater quantities. Some of these robots will likely be designed to… (more)

Subjects/Keywords: Flocking; Ad hoc teamwork; Influencing a flock; Ad hoc agent; Multiagent teamwork; Swarms

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APA (6th Edition):

-3115-1189. (2017). Fly with me : algorithms and methods for influencing a flock. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61905

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3115-1189. “Fly with me : algorithms and methods for influencing a flock.” 2017. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/61905.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3115-1189. “Fly with me : algorithms and methods for influencing a flock.” 2017. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3115-1189. Fly with me : algorithms and methods for influencing a flock. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/61905.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3115-1189. Fly with me : algorithms and methods for influencing a flock. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61905

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

12. -5025-2877. Cognition in dynamical systems.

Degree: Mechanical Engineering, 2017, University of Texas – Austin

 Cognition is the process of knowing. As carried out by a dynamical system, it is the process by which the system absorbs information into its… (more)

Subjects/Keywords: Cognition; Dynamical systems; Complex networks; Artificial neural networks; Emergence; Context

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APA (6th Edition):

-5025-2877. (2017). Cognition in dynamical systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68150

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/68150.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5025-2877. Cognition in dynamical systems. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/68150.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-5025-2877. Cognition in dynamical systems. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/68150

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

13. Stober, Jeremy Michael. Sensorimotor embedding : a developmental approach to learning geometry.

Degree: Computer Sciences, 2015, University of Texas – Austin

 A human infant facing the blooming, buzzing confusion of the senses grows up to be an adult with common-sense knowledge of geometry; this knowledge then… (more)

Subjects/Keywords: Sensorimotor; Ai; Robotics; Development

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APA (6th Edition):

Stober, J. M. (2015). Sensorimotor embedding : a developmental approach to learning geometry. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30532

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Stober, Jeremy Michael. “Sensorimotor embedding : a developmental approach to learning geometry.” 2015. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/30532.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stober, Jeremy Michael. “Sensorimotor embedding : a developmental approach to learning geometry.” 2015. Web. 21 Apr 2019.

Vancouver:

Stober JM. Sensorimotor embedding : a developmental approach to learning geometry. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/30532.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stober JM. Sensorimotor embedding : a developmental approach to learning geometry. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30532

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

14. Johnson, Leif Morgan. Redundancy reduction in motor control.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Research in machine learning and neuroscience has made remarkable progress by investigating statistical redundancy in representations of natural environments, but to date much of this… (more)

Subjects/Keywords: Motor control; Redundancy reduction; Sparsity; Coding; Movement; Neural networks

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APA (6th Edition):

Johnson, L. M. (2015). Redundancy reduction in motor control. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/32825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Johnson, Leif Morgan. “Redundancy reduction in motor control.” 2015. Web. 21 Apr 2019.

Vancouver:

Johnson LM. Redundancy reduction in motor control. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/32825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Johnson LM. Redundancy reduction in motor control. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. -1564-228X. Modeling and formal verification of gaming storylines.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

 Video games are becoming more and more interactive with increasingly complex plots. These plots typically involve multiple parallel storylines that may converge and diverge based… (more)

Subjects/Keywords: Formal verification; Gaming storyline; Games; Modeling; Modeling tools

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APA (6th Edition):

-1564-228X. (2016). Modeling and formal verification of gaming storylines. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41455

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-1564-228X. “Modeling and formal verification of gaming storylines.” 2016. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/41455.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-1564-228X. “Modeling and formal verification of gaming storylines.” 2016. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1564-228X. Modeling and formal verification of gaming storylines. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/41455.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-1564-228X. Modeling and formal verification of gaming storylines. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41455

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

16. Ruiz, Vito Manuel. Adaptation in a deep network.

Degree: Neuroscience, 2011, University of Texas – Austin

 Though adaptational effects are found throughout the visual system, the underlying mechanisms and benefits of this phenomenon are not yet known. In this work, the… (more)

Subjects/Keywords: Deep belief network; Neural network; Generative model; Adaptation; Vision; Efficient coding; Sight

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ruiz, V. M. (2011). Adaptation in a deep network. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ruiz, Vito Manuel. “Adaptation in a deep network.” 2011. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ruiz, Vito Manuel. “Adaptation in a deep network.” 2011. Web. 21 Apr 2019.

Vancouver:

Ruiz VM. Adaptation in a deep network. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ruiz VM. Adaptation in a deep network. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

17. Jong, Nicholas K. Structured exploration for reinforcement learning.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Reinforcement Learning (RL) offers a promising approach towards achieving the dream of autonomous agents that can behave intelligently in the real world. Instead of requiring… (more)

Subjects/Keywords: Reinforcement learning; Machine learning

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APA (6th Edition):

Jong, N. K. (2010). Structured exploration for reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jong, Nicholas K. “Structured exploration for reinforcement learning.” 2010. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jong, Nicholas K. “Structured exploration for reinforcement learning.” 2010. Web. 21 Apr 2019.

Vancouver:

Jong NK. Structured exploration for reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2448.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jong NK. Structured exploration for reinforcement learning. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2448

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

18. Hausknecht, Matthew John. Cooperation and communication in multiagent deep reinforcement learning.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Reinforcement learning is the area of machine learning concerned with learning which actions to execute in an unknown environment in order to maximize cumulative reward.… (more)

Subjects/Keywords: Reinforcement learning; Deep learning; Multiagent learning; Cooperation; Communication; RoboCup; POMDP; Deep reinforcement learning; Deep RL

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APA (6th Edition):

Hausknecht, M. J. (2016). Cooperation and communication in multiagent deep reinforcement learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hausknecht, Matthew John. “Cooperation and communication in multiagent deep reinforcement learning.” 2016. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/45681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hausknecht, Matthew John. “Cooperation and communication in multiagent deep reinforcement learning.” 2016. Web. 21 Apr 2019.

Vancouver:

Hausknecht MJ. Cooperation and communication in multiagent deep reinforcement learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/45681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hausknecht MJ. Cooperation and communication in multiagent deep reinforcement learning. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

19. -6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents.

Degree: Computer Sciences, 2017, University of Texas – Austin

 With advances in technology expanding the capabilities of robots, while at the same time making robots cheaper to manufacture, robots are rapidly becoming more prevalent… (more)

Subjects/Keywords: Overlapping layered learning; Role assignment; Reinforcement learning; Robotics; Robot soccer

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APA (6th Edition):

-6763-2625. (2017). Multilayered skill learning and movement coordination for autonomous robotic agents. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62889

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6763-2625. “Multilayered skill learning and movement coordination for autonomous robotic agents.” 2017. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/62889.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-6763-2625. “Multilayered skill learning and movement coordination for autonomous robotic agents.” 2017. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/62889.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6763-2625. Multilayered skill learning and movement coordination for autonomous robotic agents. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62889

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

20. Rajagopalan, Padmini. The evolution of coordinated cooperative behaviors.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Cooperative behaviors are useful to many species of animals. Predators may team up to hunt large prey that they cannot catch on their own, while… (more)

Subjects/Keywords: Neuroevolution; Simulation

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APA (6th Edition):

Rajagopalan, P. (2016). The evolution of coordinated cooperative behaviors. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/46610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Web. 21 Apr 2019.

Vancouver:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/46610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

21. Coffman, Thayne Richard. Stochastic methods in computational stereo.

Degree: Electrical and Computer Engineering, 2011, University of Texas – Austin

 Computational stereo estimates 3D structure by analyzing visual changes between two or more passive images of a scene that are captured from different viewpoints. It… (more)

Subjects/Keywords: Computational stereo; Stereo vision; Multi-view stereo; Stochastic approximation; Hough transform; Distributed ray tracing; Autonomous systems; Object recognition

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APA (6th Edition):

Coffman, T. R. (2011). Stochastic methods in computational stereo. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-2702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Coffman, Thayne Richard. “Stochastic methods in computational stereo.” 2011. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-2702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Coffman, Thayne Richard. “Stochastic methods in computational stereo.” 2011. Web. 21 Apr 2019.

Vancouver:

Coffman TR. Stochastic methods in computational stereo. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-2702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Coffman TR. Stochastic methods in computational stereo. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-2702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

22. Huang, Pei-Chi. Real-time robotic tasks for cyber-physical avatars.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Although modern robots can perform complex tasks using sophisticated algorithms that are specialized to a particular task and environment, creating robots capable of completing tasks… (more)

Subjects/Keywords: Cyber-physical systems; Robotics; Evolutionary computation; Machine learning; Real-time systems; Deep learning; Computer vision; Control

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APA (6th Edition):

Huang, P. (2017). Real-time robotic tasks for cyber-physical avatars. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62985

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Pei-Chi. “Real-time robotic tasks for cyber-physical avatars.” 2017. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/62985.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Pei-Chi. “Real-time robotic tasks for cyber-physical avatars.” 2017. Web. 21 Apr 2019.

Vancouver:

Huang P. Real-time robotic tasks for cyber-physical avatars. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/62985.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang P. Real-time robotic tasks for cyber-physical avatars. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62985

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

23. Grasemann, Hans Ulrich. A computational model of language pathology in schizophrenia.

Degree: Computer Sciences, 2010, University of Texas – Austin

 No current laboratory test can reliably identify patients with schizophrenia. Instead, key symptoms are observed via language, including derailment, where patients cannot follow a coherent… (more)

Subjects/Keywords: Schizophrenia; Neural networks; Connectionist; Natural language processing; Psychopathology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grasemann, H. U. (2010). A computational model of language pathology in schizophrenia. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2589

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grasemann, Hans Ulrich. “A computational model of language pathology in schizophrenia.” 2010. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2589.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grasemann, Hans Ulrich. “A computational model of language pathology in schizophrenia.” 2010. Web. 21 Apr 2019.

Vancouver:

Grasemann HU. A computational model of language pathology in schizophrenia. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2589.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grasemann HU. A computational model of language pathology in schizophrenia. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2589

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Tversky, Tal, 1971-. Motion perception and the scene statistics of motion.

Degree: Computer Sciences, 2008, University of Texas – Austin

 Motion coding in the brain undoubtedly reflects the statistics of retinal image motion occurring in the natural environment. Measuring the statistics of motion in natural… (more)

Subjects/Keywords: Motion perception (Vision); Detectors; Synthetic training devices

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tversky, Tal, 1. (2008). Motion perception and the scene statistics of motion. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/17807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tversky, Tal, 1971-. “Motion perception and the scene statistics of motion.” 2008. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/17807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tversky, Tal, 1971-. “Motion perception and the scene statistics of motion.” 2008. Web. 21 Apr 2019.

Vancouver:

Tversky, Tal 1. Motion perception and the scene statistics of motion. [Internet] [Thesis]. University of Texas – Austin; 2008. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/17807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tversky, Tal 1. Motion perception and the scene statistics of motion. [Thesis]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/17807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Chaput, Harold Henry. The constructivist learning architecture: a model of cognitive development for robust autonomous robots.

Degree: Computer Sciences, 2004, University of Texas – Austin

 Autonomous robots are used more and more in remote and inaccessible places where they cannot be easily repaired if damaged or improperly programmed. A system… (more)

Subjects/Keywords: Autonomous robots; Robots – Error detection and recovery; Robots – Control systems; Cognition in infants

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APA (6th Edition):

Chaput, H. H. (2004). The constructivist learning architecture: a model of cognitive development for robust autonomous robots. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/1205

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chaput, Harold Henry. “The constructivist learning architecture: a model of cognitive development for robust autonomous robots.” 2004. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/1205.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chaput, Harold Henry. “The constructivist learning architecture: a model of cognitive development for robust autonomous robots.” 2004. Web. 21 Apr 2019.

Vancouver:

Chaput HH. The constructivist learning architecture: a model of cognitive development for robust autonomous robots. [Internet] [Thesis]. University of Texas – Austin; 2004. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/1205.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chaput HH. The constructivist learning architecture: a model of cognitive development for robust autonomous robots. [Thesis]. University of Texas – Austin; 2004. Available from: http://hdl.handle.net/2152/1205

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. -7122-1968. Evolving scout agents for military simulations.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Simulations play an increasingly significant role in training and preparing the military, particularly in environments with constrained budgets. Unfortunately, in most cases a small number… (more)

Subjects/Keywords: NEAT; Neural networks; Military simulations; Military terrain analysis; Neuroevolution; Autonomous agents

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APA (6th Edition):

-7122-1968. (2015). Evolving scout agents for military simulations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31850

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/31850.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Web. 21 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7122-1968. Evolving scout agents for military simulations. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/31850.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-7122-1968. Evolving scout agents for military simulations. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31850

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

27. Sit, Yiu Fai. A population gain control model of spatiotemporal responses in the visual cortex.

Degree: Computer Sciences, 2009, University of Texas – Austin

 The mammalian brain is a complex computing system that contains billions of neurons and trillions of connections. Is there a general principle that governs the… (more)

Subjects/Keywords: Neural populations; Neurons; Connections; Visual cortex; Spatiotemporal responses; Population gain control model; Neural processing; Responses; Stimuli

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APA (6th Edition):

Sit, Y. F. (2009). A population gain control model of spatiotemporal responses in the visual cortex. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/10624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sit, Yiu Fai. “A population gain control model of spatiotemporal responses in the visual cortex.” 2009. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/10624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sit, Yiu Fai. “A population gain control model of spatiotemporal responses in the visual cortex.” 2009. Web. 21 Apr 2019.

Vancouver:

Sit YF. A population gain control model of spatiotemporal responses in the visual cortex. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/10624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sit YF. A population gain control model of spatiotemporal responses in the visual cortex. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/10624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Lessin, Daniel Gregory. Evolved virtual creatures as content : increasing behavioral and morphological complexity.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Throughout history, creature-based content has been a highly valued source of entertainment. With the introduction of evolved virtual creatures (or EVCs) by Karl Sims in… (more)

Subjects/Keywords: Artificial life; Content creation; Evolved virtual creatures

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APA (6th Edition):

Lessin, D. G. (2014). Evolved virtual creatures as content : increasing behavioral and morphological complexity. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lessin, Daniel Gregory. “Evolved virtual creatures as content : increasing behavioral and morphological complexity.” 2014. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/28371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lessin, Daniel Gregory. “Evolved virtual creatures as content : increasing behavioral and morphological complexity.” 2014. Web. 21 Apr 2019.

Vancouver:

Lessin DG. Evolved virtual creatures as content : increasing behavioral and morphological complexity. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/28371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lessin DG. Evolved virtual creatures as content : increasing behavioral and morphological complexity. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

29. Alden, Matthew Edward, 1977-. MARLEDA: effective distribution estimation through Markov random fields.

Degree: Computer Sciences, 2007, University of Texas – Austin

 Many problems within the biological sciences, such as DNA sequencing, protein structure prediction, and molecular docking, are being approached computationally. These problems require sophisticated solution… (more)

Subjects/Keywords: Evolutionary programming (Computer science); Markov processes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alden, Matthew Edward, 1. (2007). MARLEDA: effective distribution estimation through Markov random fields. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/3543

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alden, Matthew Edward, 1977-. “MARLEDA: effective distribution estimation through Markov random fields.” 2007. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/3543.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alden, Matthew Edward, 1977-. “MARLEDA: effective distribution estimation through Markov random fields.” 2007. Web. 21 Apr 2019.

Vancouver:

Alden, Matthew Edward 1. MARLEDA: effective distribution estimation through Markov random fields. [Internet] [Thesis]. University of Texas – Austin; 2007. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/3543.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alden, Matthew Edward 1. MARLEDA: effective distribution estimation through Markov random fields. [Thesis]. University of Texas – Austin; 2007. Available from: http://hdl.handle.net/2152/3543

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

30. Kaczmarczyk, Elizabeth Christine. The acquisition of intellectual expertise: a computational and empirical theory.

Degree: Science and Mathematics Education, 2005, University of Texas – Austin

 In order to develop intellectual expertise, a novice learner has to acquire cognitive abilities seen in experts: They need to be able to categorize problems… (more)

Subjects/Keywords: Instructional systems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kaczmarczyk, E. C. (2005). The acquisition of intellectual expertise: a computational and empirical theory. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/1947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kaczmarczyk, Elizabeth Christine. “The acquisition of intellectual expertise: a computational and empirical theory.” 2005. Thesis, University of Texas – Austin. Accessed April 21, 2019. http://hdl.handle.net/2152/1947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kaczmarczyk, Elizabeth Christine. “The acquisition of intellectual expertise: a computational and empirical theory.” 2005. Web. 21 Apr 2019.

Vancouver:

Kaczmarczyk EC. The acquisition of intellectual expertise: a computational and empirical theory. [Internet] [Thesis]. University of Texas – Austin; 2005. [cited 2019 Apr 21]. Available from: http://hdl.handle.net/2152/1947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaczmarczyk EC. The acquisition of intellectual expertise: a computational and empirical theory. [Thesis]. University of Texas – Austin; 2005. Available from: http://hdl.handle.net/2152/1947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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