CIG 2008: Perth, Australia

Special Session: Coevolution in Games

• Simon M. Lucas:
  Investigating learning rates for evolution and temporal difference learning. 1-7
  
• Phillipa M. Avery, Zbigniew Michalewicz:
  Adapting to human game play. 8-15
  
• Thomas Thompson, John Levine, Russell Wotherspoon:
  Evolution of counter-strategies: Application of co-evolution to Texas Hold'em Poker. 16-22
  

Special Session: Player/Opponent Modeling

• Roderick J. S. Baker, Peter I. Cowling, Thomas W. G. Randall, Ping Jiang:
  Can opponent models aid poker player evolution? 23-30
  
• Alan J. Lockett, Risto Miikkulainen:
  Evolving opponent models for Texas Hold 'Em. 31-38
  
• Stephen Hladky, Vadim Bulitko:
  An evaluation of models for predicting opponent positions in first-person shooter video games. 39-46
  
• Marcel van der Heijden, Sander Bakkes, Pieter Spronck:
  Dynamic formations in real-time strategy games. 47-54
  

Special Session: Computational Intelligence in Real Time Strategy Games

• Johan Hagelbäck, Stefan J. Johansson:
  Dealing with fog of war in a Real Time Strategy game environment. 55-62
  
• Nicola Beume, Tobias Hein, Boris Naujoks, Nico Piatkowski, Mike Preuss, Simon Wessing:
  Intelligent anti-grouping in real-time strategy games. 63-70
  
• Holger Danielsiek, Raphael Stür, Andreas Thom, Nicola Beume, Boris Naujoks, Mike Preuss:
  Intelligent moving of groups in real-time strategy games. 71-78
  
• Sander Bakkes, Pieter Spronck, H. Jaap van den Herik:
  Rapid adaptation of video game AI. 79-86
  

Special Session: Player Satisfaction

• Jacob Kaae Olesen, Georgios N. Yannakakis, John Hallam:
  Real-time challenge balance in an RTS game using rtNEAT. 87-94
  
• Keisuke Osone, Takehisa Onisawa:
  Friendly partner system of poker game with facial expressions. 95-102
  
• Georgios N. Yannakakis, John Hallam:
  Real-time adaptation of augmented-reality games for optimizing player satisfaction. 103-110
  
• Julian Togelius, Jürgen Schmidhuber:
  An experiment in automatic game design. 111-118
  

Simulated Car Racing

• Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez, Robert G. Reynolds, Yago Sáez:
  The WCCI 2008 simulated car racing competition. 119-126
  
• Ho Duc Thang, Jonathan M. Garibaldi:
  A fuzzy approach for the 2007 CIG simulated car racing competition. 127-134
  
• Alexandros Agapitos, Julian Togelius, Simon M. Lucas, Jürgen Schmidhuber, Andreas Konstantinidis:
  Generating diverse opponents with multiobjective evolution. 135-142
  

Adversarial and FPS Games

• Michelle McPartland, Marcus Gallagher:
  Creating a multi-purpose first person shooter bot with reinforcement learning. 143-150
  
• Matt Parker, Bobby D. Bryant:
  Visual control in quake II with a cyclic controller. 151-158
  
• Thomas Thompson, John Levine:
  Scaling-up behaviours in EvoTanks: Applying subsumption principles to artificial neural networks. 159-166
  
• John Reeder, Roberto Miguez, Jessica Sparks, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
  Interactively evolved modular neural networks for game agent control. 167-174
  

Monte Carlo Approaches

• Nathalie Chetcuti-Sperandio, Fabien Delorme, Sylvain Lagrue, Denis Stackowiak:
  Determination and evaluation of efficient strategies for a stop or roll dice game: Heckmeck am Bratwurmeck (Pickomino). 175-182
  
• Kazutomo Shibahara, Yoshiyuki Kotani:
  Combining final score with winning percentage by sigmoid function in Monte-Carlo simulations. 183-190
  
• Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi:
  Evaluation of Monte Carlo tree search and the application to Go. 191-198
  

Board Games

• Alan Blair:
  Learning position evaluation for Go with Internal Symmetry Networks. 199-204
  
• Yasuhiro Osaki, Kazutomo Shibahara, Yasuhiro Tajima, Yoshiyuki Kotani:
  An Othello evaluation function based on Temporal Difference Learning using probability of winning. 205-211
  
• Kyung-Joong Kim, Sung-Bae Cho:
  Ensemble approaches in evolutionary game strategies: A case study in Othello. 212-219
  
• Erkin Bahçeci, Risto Miikkulainen:
  Transfer of evolved pattern-based heuristics in games. 220-227
  

Video Games

• Nathan Wirth, Marcus Gallagher:
  An influence map model for playing Ms. Pac-Man. 228-233
  
• Mark Wittkamp, Luigi Barone, Philip Hingston:
  Using NEAT for continuous adaptation and teamwork formation in Pacman. 234-242
  
• Joost Westra, Hado van Hasselt, Virginia Dignum, Frank Dignum:
  On-line adapting games using agent organizations. 243-250
  
• Payam Aghaei Pour, Tauseef Gulrez, Omar AlZoubi, Gaetano Gargiulo, Rafael A. Calvo:
  Brain-computer interface: Next generation thought controlled distributed video game development platform. 251-257
  

Real-world and Serious Games

• Daniel Harabor, Adi Botea:
  Hierarchical path planning for multi-size agents in heterogeneous environments. 258-265
  
• Donna Djordjevich, Patrick G. Xavier, Michael L. Bernard, Jonathan Whetzel, Matthew R. Glickman, Stephen J. Verzi:
  Preparing for the aftermath: Using emotional agents in game-based training for disaster response. 266-275
  
• Mostafa Sahraei-Ardakani, Mahnaz Roshanaei, Ashkan Rahimi-Kian, Caro Lucas:
  A study of electricity market dynamics using Invasive Weed Colonization Optimization. 276-282
  
• Adrian Boeing:
  Morphology independent dynamic locomotion control for virtual characters. 283-289
  

Poster Session

• Mostafa Sahraei-Ardakani, Ashkan Rahimi-Kian, Majid Nili Ahmadabadi:
  Hierarchical Nash-Q learning in continuous games. 290-295
  
• Yuhki Inoue, Yuji Sato:
  Applying GA for reward allotment in an event-driven hybrid learning classifier system for soccer video games. 296-303
  
• Hasan Mujtaba, Abdul Rauf Baig:
  Survival by continuous learning in a dynamic multiple task environment. 304-309
  
• Thomas Thompson, Lewis McMillan, John Levine, Alastair Andrew:
  An evaluation of the benefits of look-ahead in Pac-Man. 310-315
  
• Garrison W. Greenwood, Richard Tymerski:
  A game-theoretical approach for designing market trading strategies. 316-322
  
• Vukosi N. Marivate, Tshilidzi Marwala:
  Social Learning methods in board game agents. 323-328
  
• Shiven Sharma, Ziad Kobti, Scott D. Goodwin:
  Learning and knowledge generation in General Games. 329-335
  
• Diego Perez, Yago Sáez, Gustavo Recio, Pedro Isasi:
  Evolving a rule system controller for automatic driving in a car racing competition. 336-342
  
• Andrew Chiou, Kok Wai Wong:
  Player Adaptive Entertainment Computing (PAEC): Mechanism to model user satisfaction by using Neuro Linguistic Programming (NLP) techniques. 343-349
  
• Ian Watson, Song Lee, Jonathan Rubin, Stefan Wender:
  Improving a case-based texas hold'em poker bot. 350-356
  
• Tom Schaul, Jürgen Schmidhuber:
  A scalable neural network architecture for board games. 357-364
  
• Luis delaOssa, José A. Gámez, Verónica López:
  Improvement of a car racing controller by means of Ant Colony Optimization algorithms. 365-371
  
• Stefan Wender, Ian Watson:
  Using reinforcement learning for city site selection in the turn-based strategy game Civilization IV. 372-377
  
• Julien Kloetzer, Hiroyuki Iida, Bruno Bouzy:
  A comparative study of solvers in Amazons endgames. 378-384
  
• Su-Hyung Jang, Sung-Bae Cho:
  Evolving neural NPCs with layered influence map in the real-time simulation game 'Conqueror'. 385-388
  
• Benjamin E. Childs, James H. Brodeur, Levente Kocsis:
  Transpositions and move groups in Monte Carlo tree search. 389-395
  

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