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CIG 2007: Honolulu, Hawaii, USA
- Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007, Honolulu, Hawaii, USA, 1-5 April, 2007. IEEE 2007, ISBN 1-4244-0709-5
Oral Session
- Kenneth H. L. Ho, Trevor Martin, Jim F. 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, 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 P. 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 - 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 - Andrés Gómez 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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