Abstract is missing.
- Snooker Robot Player - 20 Years onKenneth H. L. Ho, Trevor Martin, Jim Baldwin. 1-8 [doi]
- Micro Robot Hockey Simulator - Game Engine DesignWayne Y. Chen, Shahram Payandeh. 9-16 [doi]
- On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCupMartin A. Riedmiller, Thomas Gabel. 17-23 [doi]
- Extracting NPC behavior from computer games using computer vision and machine learning techniquesAlex Fink, Jörg Denzinger, John Aycock. 24-31 [doi]
- Waving Real Hand Gestures Recorded by Wearable Motion Sensors to a Virtual Car and Driver in a Mixed-Reality Parking GameDavid Bannach, Oliver Amft, Kai S. Kunze, Ernst A. Heinz, Gerhard Tröster, Paul Lukowicz. 32-39 [doi]
- Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and LearningHanyang Quek, Chi Keong Goh. 40-47 [doi]
- Cooperation in Prisoner's Dilemma on GraphsDaniel A. Ashlock. 48-55 [doi]
- Information Sharing in the Iterated Prisoner's Dilemma GameAyman Ghoneim, Hussein A. Abbass, Michael Barlow. 56-62 [doi]
- A Comparison of Genetic Programming and Look-up Table Learning for the Game of SpoofMark Wittkamp, Luigi Barone, R. Lyndon While. 63-71 [doi]
- Using a Genetic Algorithm to Explore A*-like Pathfinding AlgorithmsRyan E. Leigh, Sushil J. Louis, Chris Miles. 72-79 [doi]
- Adversarial Planning Through Strategy SimulationFranisek Sailer, Michael Buro, Marc Lanctot. 80-87 [doi]
- Co-Evolving Influence Map Tree Based Strategy Game PlayersChris Miles, Juan C. Quiroz, Ryan E. Leigh, Sushil J. Louis. 88-95 [doi]
- Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based ModelMarcin Seredynski, Pascal Bouvry, Mieczyslaw A. Klopotek. 96-103 [doi]
- A Historical Population in a Coevolutionary SystemPhillipa M. Avery, Zbigniew Michalewicz, Martin Schmidt. 104-111 [doi]
- Effective Use of Transposition Tables in Stochastic Game Tree SearchJoel Veness, Alan Blair. 112-116 [doi]
- An Investigation into Tournament Poker Strategy using Evolutionary AlgorithmsRichard G. Carter, John Levine. 117-124 [doi]
- Bayesian Opponent Modeling in a Simple Poker EnvironmentRoderick J. S. Baker, Peter I. Cowling. 125-131 [doi]
- Computer Strategies for Solitaire YahtzeeJames R. Glenn. 132-139 [doi]
- Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and BoxesAnthony Knittel, Terry Bossomaier, Allan Snyder. 140-145 [doi]
- Tournament Particle Swarm OptimizationWillem H. Duminy, Andries Petrus Engelbrecht. 146-153 [doi]
- NEAT Particles: Design, Representation, and Animation of Particle System EffectsErin J. Hastings, Ratan K. Guha, Kenneth O. Stanley. 154-160 [doi]
- Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its ApplicationsB. John Oommen, Ole-Christoffer Granmo, Asle Pedersen. 161-167 [doi]
- Evolving Players for an Ancient Game: HnefataflPhilip Hingston. 168-174 [doi]
- Modifications of UCT and sequence-like simulations for Monte-Carlo GoYizao Wang, Sylvain Gelly. 175-182 [doi]
- Board Representations for Neural Go Players Learning by Temporal DifferenceHelmut A. Mayer. 183-188 [doi]
- Move Prediction in Go with the Maximum Entropy MethodNobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka, Jun'ichi Tsujii. 189-195 [doi]
- Hybrid Evolutionary Learning Approaches for The Virus GameMunir Hussain Naveed, Peter I. Cowling, M. Alamgir Hossain. 196-202 [doi]
- Hybrid of Evolution and Reinforcement Learning for Othello PlayersKyung-Joong Kim, Heejin Choi, Sung-Bae Cho. 203-209 [doi]
- Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy explorationThomas Philip Runarsson, Egill Orn Jonsson. 210-215 [doi]
- Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared WeightsEdward P. Manning. 216-223 [doi]
- Solving Japanese Puzzles with HeuristicsSancho Salcedo-Sanz, Emilio G. Ortíz-García, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Xin Yao. 224-231 [doi]
- The Evolution of Multi-Layer Neural Networks for the Control of Xpilot AgentsMatt Parker, Gary B. Parker. 232-237 [doi]
- Evolving Parameters for Xpilot Combat AgentsGary B. Parker, Matt Parker. 238-243 [doi]
- Game and Player Feature Selection for Entertainment CaptureGeorgios N. Yannakakis, John Hallam. 244-251 [doi]
- Towards automatic personalised content creation for racing gamesJulian Togelius, Renzo De Nardi, Simon M. Lucas. 252-259 [doi]
- Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference LearningSimon M. Lucas, Julian Togelius. 260-267 [doi]
- Automatic Generation of Evaluation Features for Computer Game PlayersMakoto Miwa, Daisaku Yokoyama, Takashi Chikayama. 268-275 [doi]
- A Multi-Agent Architecture for Game PlayingZiad Kobti, Shiven Sharma. 276-281 [doi]
- Evolving Pac-Man Players: Can We Learn from Raw Input?Marcus Gallagher, Mark Ledwich. 282-287 [doi]
- Reward Allotment Considered Roles for Learning Classifier System For Soccer Video GamesYosuke Akatsuka, Yuji Sato. 288-295 [doi]
- Inferring the Past: A Computational Exploration of the Strategies that May Have Been Used in the Aztec Board Game of PatolliAndrés Gomez de Silva Garza, Carlos Emilio Galindo Flores. 296-303 [doi]
- Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-ToeYi Jack Yau, Jason Teo, Patricia Anthony. 304-311 [doi]
- Game AI in Delta3DChristian J. Darken, Bradley G. Anderegg, Perry McDowell. 312-319 [doi]
- Coevolving Strategies for General Game PlayingJoseph Reisinger, Erkin Bahçeci, Igor Karpov, Risto Miikkulainen. 320-327 [doi]
- EvoTanks: Co-Evolutionary Development of Game-Playing AgentsThomas Thompson, John Levine, Gillian Hayes. 328-333 [doi]
- Evolutionary Computations for Designing Game Rules of the COMMONS GAMEHisashi Handa, Norio Baba. 334-339 [doi]
- Fuzzy Prolog as Cognitive Layer in RoboCupSoccerSusana Muñoz-Hernández, Wiratna Sari Wiguna. 340-345 [doi]
- Genetic Algorithms for Finding Optimal Strategies for a Student's GameThomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt. 346-351 [doi]
- Vidya: A God Game Based on Intelligent Agents Whose Actions are Devised Through Evolutionary ComputationMarcelo Rodrigo de Souza Pita, Salomão Sampaio Madeiro, Fernando Buarque de Lima Neto. 352-359 [doi]
- Discovering Chinese Chess Strategies through Coevolutionary ApproachesChin Soon Ong, Hanyang Quek, Kay Chen Tan, Arthur Tay. 360-367 [doi]
- Bridge Bidding with Imperfect InformationLori L. DeLooze, James Downey. 368-373 [doi]
- The Game of Synchronized CutcakeAlessandro Cincotti, Hiroyuki Iida. 374-379 [doi]
- Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool?Michael A. Greenspan, Joseph Lam, Will Leckie, Marc Godard, Imran Zaidi, Ken Anderson, Donna C. Dupuis, Sam Jordan. 380-388 [doi]