CIG 2007: Honolulu, Hawaii, USA

Oral Session

• Kenneth H. L. Ho, Trevor Martin, Jim Baldwin:
  Snooker Robot Player - 20 Years on. 1-8
  
• Wayne Y. Chen, Shahram Payandeh:
  Micro Robot Hockey Simulator - Game Engine Design. 9-16
  
• Martin A. Riedmiller, Thomas Gabel:
  On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup. 17-23
  
• Alex Fink, Jörg Denzinger, John Aycock:
  Extracting NPC behavior from computer games using computer vision and machine learning techniques. 24-31
  
• David Bannach, Oliver Amft, Kai S. Kunze, Ernst A. Heinz, Gerhard Tröster, Paul Lukowicz:
  Waving Real Hand Gestures Recorded by Wearable Motion Sensors to a Virtual Car and Driver in a Mixed-Reality Parking Game. 32-39
  
• Hanyang Quek, Chi Keong Goh:
  Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. 40-47
  
• Daniel A. Ashlock:
  Cooperation in Prisoner's Dilemma on Graphs. 48-55
  
• Ayman Ghoneim, Hussein A. Abbass, Michael Barlow:
  Information Sharing in the Iterated Prisoner's Dilemma Game. 56-62
  
• Mark Wittkamp, Luigi Barone, R. Lyndon While:
  A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof. 63-71
  
• Ryan E. Leigh, Sushil J. Louis, Chris Miles:
  Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms. 72-79
  
• Franisek Sailer, Michael Buro, Marc Lanctot:
  Adversarial Planning Through Strategy Simulation. 80-87
  
• Chris Miles, Juan C. Quiroz, Ryan E. Leigh, Sushil J. Louis:
  Co-Evolving Influence Map Tree Based Strategy Game Players. 88-95
  
• Marcin Seredynski, Pascal Bouvry, Mieczyslaw A. Klopotek:
  Modelling the Evolution of Cooperative Behavior in Ad Hoc Networks using a Game Based Model. 96-103
  
• Phillipa M. Avery, Zbigniew Michalewicz, Martin Schmidt:
  A Historical Population in a Coevolutionary System. 104-111
  
• Joel Veness, Alan Blair:
  Effective Use of Transposition Tables in Stochastic Game Tree Search. 112-116
  
• Richard G. Carter, John Levine:
  An Investigation into Tournament Poker Strategy using Evolutionary Algorithms. 117-124
  
• Roderick J. S. Baker, Peter I. Cowling:
  Bayesian Opponent Modeling in a Simple Poker Environment. 125-131
  
• James R. Glenn:
  Computer Strategies for Solitaire Yahtzee. 132-139
  
• Anthony Knittel, Terry Bossomaier, Allan Snyder:
  Concept Accessibility as Basis for Evolutionary Reinforcement Learning of Dots and Boxes. 140-145
  
• Willem H. Duminy, Andries Petrus Engelbrecht:
  Tournament Particle Swarm Optimization. 146-153
  
• Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
  NEAT Particles: Design, Representation, and Animation of Particle System Effects. 154-160
  
• B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen:
  Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications. 161-167
  
• Philip Hingston:
  Evolving Players for an Ancient Game: Hnefatafl. 168-174
  
• Yizao Wang, Sylvain Gelly:
  Modifications of UCT and sequence-like simulations for Monte-Carlo Go. 175-182
  
• Helmut A. Mayer:
  Board Representations for Neural Go Players Learning by Temporal Difference. 183-188
  
• Nobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka, Jun-ichi Tsujii:
  Move Prediction in Go with the Maximum Entropy Method. 189-195
  
• Munir Hussain Naveed, Peter I. Cowling, M. Alamgir Hossain:
  Hybrid Evolutionary Learning Approaches for The Virus Game. 196-202
  
• Kyung-Joong Kim, Heejin Choi, Sung-Bae Cho:
  Hybrid of Evolution and Reinforcement Learning for Othello Players. 203-209
  
• Thomas Philip Runarsson, Egill Orn Jonsson:
  Effect of look-ahead search depth in learning position evaluation functions for Othello using -greedy exploration. 210-215
  
• Edward P. Manning:
  Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared Weights. 216-223
  
• Sancho Salcedo-Sanz, Emilio G. Ortíz-García, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, Xin Yao:
  Solving Japanese Puzzles with Heuristics. 224-231
  
• Matt Parker, Gary B. Parker:
  The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents. 232-237
  
• Gary B. Parker, Matt Parker:
  Evolving Parameters for Xpilot Combat Agents. 238-243
  
• Georgios N. Yannakakis, John Hallam:
  Game and Player Feature Selection for Entertainment Capture. 244-251
  
• Julian Togelius, Renzo De Nardi, Simon M. Lucas:
  Towards automatic personalised content creation for racing games. 252-259
  
• Simon M. Lucas, Julian Togelius:
  Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning. 260-267
  
• Makoto Miwa, Daisaku Yokoyama, Takashi Chikayama:
  Automatic Generation of Evaluation Features for Computer Game Players. 268-275
  
• Ziad Kobti, Shiven Sharma:
  A Multi-Agent Architecture for Game Playing. 276-281
  
• Marcus Gallagher, Mark Ledwich:
  Evolving Pac-Man Players: Can We Learn from Raw Input? 282-287
  

Poster Session

• Yosuke Akatsuka, Yuji Sato:
  Reward Allotment Considered Roles for Learning Classifier System For Soccer Video Games. 288-295
  
• Andres Gomez de Silva Garza, Carlos Emilio Galindo Flores:
  Inferring the Past: A Computational Exploration of the Strategies that May Have Been Used in the Aztec Board Game of Patolli. 296-303
  
• Yi Jack Yau, Jason Teo, Patricia Anthony:
  Pareto Evolution and Co-Evolution in Cognitive Neural Agents Synthesis for Tic-Tac-Toe. 304-311
  
• Christian J. Darken, Bradley G. Anderegg, Perry McDowell:
  Game AI in Delta3D. 312-319
  
• Joseph Reisinger, Erkin Bahçeci, Igor Karpov, Risto Miikkulainen:
  Coevolving Strategies for General Game Playing. 320-327
  
• Thomas Thompson, John Levine, Gillian Hayes:
  EvoTanks: Co-Evolutionary Development of Game-Playing Agents. 328-333
  
• Hisashi Handa, Norio Baba:
  Evolutionary Computations for Designing Game Rules of the COMMONS GAME. 334-339
  
• Susana Muñoz-Hernández, Wiratna Sari Wiguna:
  Fuzzy Prolog as Cognitive Layer in RoboCupSoccer. 340-345
  
• Thomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt:
  Genetic Algorithms for Finding Optimal Strategies for a Student's Game. 346-351
  
• Marcelo Rodrigo de Souza Pita, Salomão Sampaio Madeiro, Fernando Buarque de Lima Neto:
  Vidya: A God Game Based on Intelligent Agents Whose Actions are Devised Through Evolutionary Computation. 352-359
  
• Chin Soon Ong, Hanyang Quek, Kay Chen Tan, Arthur Tay:
  Discovering Chinese Chess Strategies through Coevolutionary Approaches. 360-367
  
• Lori L. DeLooze, James Downey:
  Bridge Bidding with Imperfect Information. 368-373
  
• Alessandro Cincotti, Hiroyuki Iida:
  The Game of Synchronized Cutcake. 374-379
  

Keynote

• Michael A. Greenspan, Joseph Lam, Will Leckie, Marc Godard, Imran Zaidi, Ken Anderson, Donna C. Dupuis, Sam Jordan:
  Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool? 380-388
  

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