Bobby D. Bryant, His Homepage

BOBBY D. BRYANT

Assistant Professor
Department of Computer Science & Engineering
      College of Engineering
           University of Nevada, Reno

Director,
      Neuroevolution and Behavior Laboratory
Associate,
      Brain Computation Laboratory

Office:		SEM 206
Phone:		1-775-784-7593
Fax:		1-775-784-1877
E-mail:		bdbryant "at" cse.unr.edu
P-mail:		University of Nevada, Reno
		Mail Stop 171
		Reno, NV 89557-0148

CV [PDF]

Research
Classes

Research

Publications:

Journal Articles

A Microcircuitry of Hippocampal, Entorhinal, and Prefrontal Loop Dynamics during Sequential Learning
Laurence Christine Jayet Bray, Corey M. Thibeault, Jeff A. Dorrity,
Bobby D. Bryant, Frederick C. Harris, and Philip H. Goodman (in review)
Goal-Related Navigation of a Neuromorphic Virtual Robot
Laurence Jayet Bray, Frederick Harris, Emily Barker, Gareth Ferneyhough,
Roger Hoang, Bobby Bryant, and Sergiu Dascalu (2012).
Goal-Related Navigation of a Neuromorphic Virtual Robot.
BMC Neuroscience 2012, 13(Suppl 1):O3
BioMed Central [HTML]
Real-Time Human-Robot Interaction Underlying Neurobotic Trust and Intent Recognition
Jayet Bray, L. C., Anumandla, S. R., Thibeault, C. M., Hoang, R. V., Goodman,
P. H., Dascalu, S.-M., Bryant, B. D., and Harris, F. C. (2012).
Real-Time Human-Robot Interaction Underlying Neurobotic Trust and Intent Recognition.
Neural Networks, Vol.32, pp.130–137.
New York: Elsevier
ScienceDirect [HTML]
Neurovisual Control in the Quake II Environment
Matt Parker and Bobby D. Bryant (2012).
Neurovisual Control in the Quake II Environment.
IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 1, pp. 44–54.
Piscataway, NJ: IEEE
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Using Second Life to Enhance Classroom Management Practice in Teacher Education
Jennifer Mahon, Bobby Bryant, Ben Brown, and Miran Kim (2010).
Using Second Life to Enhance Classroom Management Practice in Teacher Education.
Educational Media International (EMI), Vol. 47 No. 2, pp.121–134.
London, UK: Routledge.
Taylor & Francis Online [HTML]
Real-time Neuroevolution in the NERO Video Game
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2005).
Real-time Neuroevolution in the NERO Video Game.
IEEE Transactions on Evolutionary Computation, Vol. 9, No. 6, pp. 653–668.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]

Book Chapters

Computational Intelligence in Games
Miikkulainen, R., Bryant, B. D., Cornelius, R., Karpov, I. V., Stanley, K. O., and Yong, C. H. (2006).
Computational Intelligence in Games.
In Yen, G. Y. and Fogel, D. B. (editors), Computational Intelligence: Principles and Practice, pp. 155–191.
IEEE Computational Intelligence Society.
Self-archived version [PDF]

Peer-Reviewed Conference Papers

Virtual Bagging for an Evolved Agent Controller
Bobby D. Bryant (2010).
Virtual Bagging for an Evolved Agent Controller.
Proceedings of the 2010 IEEE Conference on Computational Intelligence in Games (CIG'10), pp. 99–106.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
3D Multimedia Protection Using Artificial Neural Network
Mukesh C. Motwani, Bobby D. Bryant, Sergiu M. Dascalu, and Frederick C. Harris Jr. (2010).
3D Multimedia Protection using Artificial Neural Network.
Proceedings of the 2010 7th IEEE Consumer Communications and Networking Conference (CCNC), pp. 1–5.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Watermark Embedder Optimization for 3D Mesh Objects using Classification Based Approach
Rakhi C. Motwani, Mukesh C. Motwani, Bobby D. Bryant, Frederick C. Harris Jr., and Akshata S. Agarwal (2010).
Watermark Embedder Optimization for 3D Mesh Objects using Support Vector Machine.
Proceedings of the 2010 International Conference on Signal Acquisition and Processing (ICSAP 2010), pp. 125–129.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Backpropagation without Human Supervision for Visual Control in Quake II
Matt Parker and Bobby D. Bryant (2009).
Backpropagation without Human Supervision for Visual Control in Quake II.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games (CIG'09), pp. 287–293.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Lamarckian Neuroevolution for Visual Control in the Quake II Environment
Matt Parker and Bobby D. Bryant (2009).
Lamarckian Neuroevolution for Visual Control in the Quake II Environment.
Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC 2009), pp. 2630–2637.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Visual Control in Quake II with a Cyclic Controller
Matt Parker and Bobby D. Bryant (2008).
Visual Control in Quake II with a Cyclic Controller.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games (CIG'08), pp. 151–158.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Neuro-visual Control in the Quake II Game Engine
Matt Parker and Bobby D. Bryant (2008).
Neuro-visual Control in the Quake II Game Engine.
Proceedings of the 2008 International Joint Conference on Neural Networks (IJCNN 2008), pp. 3827–3832.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Neuro-evolving Maintain-Station Behavior for Realistically Simulated Boats
Nathan A. Penrod, David Carr, Sushil Louis, and Bobby D. Bryant (2008).
Neuro-evolving Maintain-Station Behavior for Realistically Simulated Boats.
Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC 2008), pp. 3326–3332.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Bobby D. Bryant and Risto Miikkulainen (2007).
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution.
Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07), pp. 801–808.
Menlo Park, CA: AAAI Press.
ACM Digital Library [HTML]
Self-archived version [PDF]
Evolving Stochastic Controller Networks for Intelligent Game Agents
Bobby D. Bryant and Risto Miikkulainen (2006).
Evolving Stochastic Controller Networks for Intelligent Game Agents.
Proceedings of the 2006 Congress on Evolutionary Computation (CEC 2006), pp. 1007–1014.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents
Bobby D. Bryant and Risto Miikkulainen (2006).
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG'06), pp. 90–97.
Piscataway, NJ: IEEE Press.
Best Student Paper.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Real-Time Evolution of Neural Networks in the NERO Video Game
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, and Risto Miikkulainen (2006).
Real-Time Evolution of Neural Networks in the NERO Video Game.
Proceedings of the Twenty-First National Conference in Artificial Intelligence (AAAI-06), pp. 1671–1674.
Menlo Park, CA: AAAI Press.
ACM Digital Library [HTML]
Self-archived version [PDF]
Evolving Neural Network Agents in the NERO Video Game
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2005).
Evolving Neural Network Agents in the NERO Video Game.
Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), pp. 182–189.
Piscataway, NJ: IEEE Press.
Best Paper.
Symposium Proceedings [large PDF]
Self-archived version [PDF]
Neuroevolution for Adaptive Teams
Bobby D. Bryant and Risto Miikkulainen (2003).
Neuroevolution for Adaptive Teams.
Proceedings of the 2003 Congress on Evolutionary Computation (CEC'03), Vol. 3, pp. 2194–2201.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]
Evolving Adaptive Neural Networks with and without Adaptive Synapses
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2003).
Evolving Adaptive Neural Networks with and without Adaptive Synapses.
Proceedings of the 2003 Congress on Evolutionary Computation (CEC'03), Vol. 4, pp. 2557–2564.
Piscataway, NJ: IEEE Press.
IEEEXplore Digital Library [HTML]
Self-archived version [PDF]

Thesis and Tech Reports

Evolving Visibly Intelligent Behavior for Embedded Game Agents
Bryant, Bobby D. (2006).
Evolving Visibly Intelligent Behavior for Embedded Game Agents.
PhD thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX.

University of Texas Libraries Digital Repository [HTML], [PDF]
Formatted as UT CS Technical Report AI-06-334 [PDF].
From Word Stream to Gestalt: A Direct Semantic Parse for Complex Sentences
Bobby D. Bryant and Risto Miikkulainen (2001).
From Word Stream to Gestalt: A Direct Semantic Parse for Complex Sentences.
AI Technical Report TR-AI98-274, Department of Computer Sciences, The University of Texas at Austin.
Formatted as UTCS AI Tchnical Report AI-98-274 [PDF]

Other Talks:

A "Second Life" in Classroom Management Training? Enhancing Culturally Relevant Classroom Management Knowledge in the Virtual World of Second Life
Symposium on Gaming and Virtual Worlds, 2009 Annual Meeting of the American Educational Research Association, San Diego, California. April 14, 2009.
(Co-Presentation with Jennifer Mahon, Department of Curriculum, Teaching, and Learning, University of Nevada, Reno.)
Inductive Agent Modeling in Games
CIG 2008 Tutorial, University of Western Australia, Perth. December 15, 2008.
Policy Induction with Lamarckian Neuroevolution
Nevada EPSCoR Workshop on Behavior Analysis for Artificial and Simulated Agents, Reno, Nevada. November 2, 2007.
Visibly Intelligent Agents for Games and Simulators: Creating Adaptive Teams with Example-Guided Evolution
Computer Science and Engineering colloquium, University of Nevada, Reno. Sponsored and organized by the IGT Distinguished Speakers Series. May 4, 2006.
Neuroevolution for Adaptive Teams: Learning Heterogeneous Behavior in Homogeneous Multi-Agent Systems
GameDev conference, Austin, Texas. Sponsored by the Digital Media Collaboratory (DMC) of the Innovation Creativity and Capital Institute (IC²) of The University of Texas at Austin. August 21, 2003.

Symposia, Workshops, and Special Sessions:

Special Session on Games (co-organizer).
CEC 2011.
Fifth Annual IGT-UNR Engineering Symposium on Games and Gaming (co-organizer).
UNR campus event, 2009.
Special Session on Computational Intelligence in Real Time Strategy Games (co-organizer).
CIG 2008.
Special Session on Player Satisfaction (co-organizer).
CIG 2008.
Special Session on Player/Opponent Modeling (co-organizer).
CIG 2008.
Workshop on Behavior Analysis for Artificial and Simulated Agents (co-organizer).
UNR/EPSCoR campus event, 2007.
Workshop on Adaptive Approaches to Optimizing Player Satisfaction in Games and Interactive Digital Entertainment (co-organizer).
AIIDE 2007.

Classes:

My normal teaching load is two courses per semester.

spring 2014:
- CS135 - Computer Science I
- CS790Q - Seminar: Machine Learning
fall 2013:
- CS135 - Computer Science I (x2 sections)
- CS790S - Seminar: Neural Networks
spring 2013:
- CS135 - Computer Science I
- CS483 - Artificial Intelligence Programming
fall 2012:
- CS135 - Computer Science I
- CS790Q - Seminar: Machine Learning
spring 2012:
- CS135 - Computer Science I
- CS483 - Artificial Intelligence Programming
fall 2011:
- CS135 - Computer Science I
- CS482 - Artificial Intelligence
spring 2011:
- CS135 - Computer Science I
- CS482 - Artificial Intelligence
fall 2010:
- CS135 - Computer Science I
- CS382 - Introduction to Artificial Intelligence
spring 2010:
- CS709c - Discrete Systems Simulation
- one-course buyout for DECIDE project
fall 2009:
- CS491s/691s - Neural Networks
- one-course buyout for DECIDE project
spring 2009:
- CS381 - The Game Development Pipeline
- one-course buyout for DECIDE project
fall 2008:
- CS481/CS681 - Advanced Game Design
- one-course buyout for DECIDE project
spring 2008:
- CS381 - The Game Development Pipeline
- CS483R/CS683R - Artificial Intelligence Programming
fall 2007:
- CS482R/CS682R - Artificial Intelligence
- one-course waiver for startup
spring 2007:
- CS483/CS683 - Artificial Intelligence Programming
- CS790Q - Seminar: Neuroevolution
fall 2006:
- CS482R/CS682R - Artificial Intelligence
- one-course waiver for startup