CIG 2009: Milano, Italy

• Stefano Lecchi:
  Artificial intelligence in racing games.
  
• Yngvi Björnsson:
  General game-playing systems.
  
• Michael Mateas:
  AI isn't just for players: AI-based authoring tools.
  
• Kenneth O. Stanley:
  Practical issues in evolving neural network controllers for video game agents.
  
• James M. Vaccaro:
  Modeling and simulation framework of real urban and board games to train players.
  
• Robin Baumgarten:
  Defcon.
  
• Simon M. Lucas:
  Screen-capture Ms Pac-Man.
  
• Julian Togelius:
  Mario AI competition.
  
• Daniele Loiacono, Julian Togelius, Pier Luca Lanzi:
  Simulated car racing.
  
• Philip Hingston:
  The 2K BotPrize.
  
• Simon M. Lucas:
  Ms Pac-Man versus ghost-team competition.
  
• Anders Drachen, Alessandro Canossa, Georgios N. Yannakakis:
  Player modeling using self-organization in Tomb Raider: Underworld. 1-8
  
• Colin D. Ward, Peter I. Cowling:
  Monte Carlo search applied to card selection in Magic: The Gathering. 9-16
  
• Philip Hingston:
  Iterated Prisoner's Dilemma for species. 17-24
  
• Garrison W. Greenwood:
  Deceptive strategies for the evolutionary minority game. 25-31
  
• Simon M. Lucas:
  Temporal difference learning with interpolated table value functions. 32-37
  
• Leo Galway, Darryl Charles, Michaela M. Black:
  Improving Temporal Difference game agent control using a dynamic exploration during control learning. 38-45
  
• Johan Hagelbäck, Stefan J. Johansson:
  Measuring player experience on runtime dynamic difficulty scaling in an RTS game. 46-52
  
• Peter Burrow, Simon M. Lucas:
  Evolution versus Temporal Difference Learning for learning to play Ms. Pac-Man. 53-60
  
• Luis Peña, Sascha Ossowski, José María Peña:
  vBattle: A new framework to simulate medium-scale battles in individual-per-individual basis. 61-68
  
• Daniel Cuadrado, Yago Sáez:
  Chuck Norris rocks! 69-74
  
• Su-Hyung Jang, Jongwon Yoon, Sung-Bae Cho:
  Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm. 75-79
  
• Edgar Galván López, Michael O'Neill:
  On the effects of locality in a permutation problem: The Sudoku Puzzle. 80-87
  
• Klaus P. Jantke:
  Dramaturgical Design of the Narrative in Digital Games: AI planning of conflicts in non-linear spaces of time. 88-95
  
• Steven L. Tanimoto, Tyler Robison, Sandra B. Fan:
  A game-building environment for research in collaborative design. 96-103
  
• Marcin Grzegorz Szubert, Wojciech Jaskowski, Krzysztof Krawiec:
  Coevolutionary Temporal Difference Learning for Othello. 104-111
  
• Belal Al-Khateeb, Graham Kendall:
  Introducing a round robin tournament into Blondie24. 112-116
  
• Jacek Mandziuk, Krzysztof Mossakowski:
  Neural networks compete with expert human players in solving the Double Dummy Bridge Problem. 117-124
  
• Garrett Nicolai, Robert J. Hilderman:
  No-Limit Texas Hold'em Poker agents created with evolutionary neural networks. 125-131
  
• Chris Pedersen, Julian Togelius, Georgios N. Yannakakis:
  Modeling player experience in Super Mario Bros. 132-139
  
• Ben George Weber, Michael Mateas:
  A data mining approach to strategy prediction. 140-147
  
• Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi:
  Learning drivers for TORCS through imitation using supervised methods. 148-155
  
• Julian Togelius, Sergey Karakovskiy, Jan Koutník, Jürgen Schmidhuber:
  Super mario evolution. 156-161
  
• Lori L. DeLooze, Wesley R. Viner:
  Fuzzy Q-learning in a nondeterministic environment: developing an intelligent Ms. Pac-Man agent. 162-169
  
• Ben Cowley, Darryl Charles, Michaela M. Black, Ray J. Hickey:
  Analyzing player behavior in Pacman using feature-driven decision theoretic predictive modeling. 170-177
  
• Maarten P. D. Schadd, Mark H. M. Winands, Jos W. H. M. Uiterwijk:
  CHANCEPROBCUT: Forward pruning in chance nodes. 178-185
  
• Nicola Basilico, Nicola Gatti, Thomas Rossi:
  Capturing augmented sensing capabilities and intrusion delay in patrolling-intrusion games. 186-193
  
• Michele Pace:
  How a genetic algorithm learns to play Traveler's Dilemma by choosing dominated strategies to achieve greater payoffs. 194-200
  
• Wojciech Jaskowski, Krzysztof Krawiec:
  Formal analysis and algorithms for extracting coordinate systems of games. 201-208
  
• Markus Kemmerling, Niels Ackermann, Nicola Beume, Mike Preuss, Sebastian Uellenbeck, Wolfgang Walz:
  Is human-like and well playing contradictory for Diplomacy bots? 209-216
  
• Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchís:
  Towards conscious-like behavior in computer game characters. 217-224
  
• Manish Mehta, Andrea Corradini:
  Evaluation of a domain independent approach to natural language processing for game-like user interfaces. 225-232
  
• Francesco Bellotti, Riccardo Berta, Alessandro De Gloria, Ludovica Primavera:
  A task annotation model for Sandbox Serious Games. 233-240
  
• Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanley:
  Evolving content in the Galactic Arms Race video game. 241-248
  
• David Robles, Simon M. Lucas:
  A simple tree search method for playing Ms. Pac-Man. 249-255
  
• Enrique Onieva, David A. Pelta, Javier Alonso, Vicente Milanés, Joshué Pérez:
  A modular parametric architecture for the TORCS racing engine. 256-262
  
• Diego Perez, Gustavo Recio, Yago Sáez, Pedro Isasi:
  Evolving a fuzzy controller for a Car Racing Competition. 263-270
  
• Jorge Muñoz, Germán Gutiérrez, Araceli Sanchís:
  Controller for TORCS created by imitation. 271-278
  
• Marc Ebner, Thorsten Tiede:
  Evolving driving controllers using Genetic Programming. 279-286
  
• Matt Parker, Bobby D. Bryant:
  Backpropagation without human supervision for visual control in Quake II. 287-293
  
• Niels van Hoorn, Julian Togelius, Jürgen Schmidhuber:
  Hierarchical controller learning in a First-Person Shooter. 294-301
  
• Joost Westra, Frank Dignum:
  Evolutionary neural networks for Non-Player Characters in Quake III. 302-309
  
• Luca Galli, Daniele Loiacono, Pier Luca Lanzi:
  Learning a context-aware weapon selection policy for Unreal Tournament III. 310-316
  
• Martin V. Butz, Thies D. Lönneker:
  Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. 317-324
  
• Jacob Schrum, Risto Miikkulainen:
  Evolving multi-modal behavior in NPCs. 325-332
  
• Tommy Thompson, John Levine:
  Realtime execution of automated plans using evolutionary robotics. 333-340
  
• Phillipa Avery, Sushil J. Louis, Benjamin Avery:
  Evolving coordinated spatial tactics for autonomous entities using influence maps. 341-348
  
• Haiqing Wang, Omar N. Malik, Alexander Nareyek:
  Multi-unit tactical pathplanning. 349-354
  
• Attala Malik, Jörg Denzinger:
  Improving testing of multi-unit computer players for unwanted behavior using coordination macros. 355-362
  
• Tommy Thompson, Fraser Milne, Alastair Andrew, John Levine:
  Improving control through subsumption in the EvoTanks domain. 363-370
  
• David Keaveney, Colm O'Riordan:
  Evolving robust strategies for an abstract real-time strategy game. 371-378
  
• José Roberto Mercado Vega, Zvi Retchkiman Königsberg:
  Modeling the game of Arimaa with Linguistic Geometry. 379-386
  
• Amine M. Boumaza:
  On the evolution of artificial Tetris players. 387-393
  

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