Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

Source URL: www.csse.uwa.edu.au

• Machine learning
• Artificial intelligence
• Game artificial intelligence
• Applied mathematics
• Computational neuroscience
• Game theory
• Cybernetics
• Ant colony optimization algorithms
• General game playing
• Reinforcement learning
• Computer Go
• Q-learning

Using Reinforcement Learning for City Site Selection in the Turn-Based Strategy Game Civilization IV Stefan Wender, Ian Watson Abstract— This paper describes the design and implementation of a reinforcement learner bas

Source URL: www.csse.uwa.edu.au

• Windows games
• Reinforcement learning
• Q-learning
• Civilization V
• Civilization IV
• Artificial intelligence
• Machine learning
• Civilization
• Freeciv
• Learning
• AI War: Fleet Command

IEEE Symposium on Computational Intelligence and Games Perth, Australia, 15-18 December 2008 http://www.csse.uwa.edu.au/cig08/ Paper submission: 15 August 2008

Source URL: www.csse.uwa.edu.au

Rapid Adaptation of Video Game AI Sander Bakkes, Pieter Spronck, and Jaap van den Herik A. Entertainment and Game AI Abstract— Current approaches to adaptive game AI require either a high quality of utilised domain kno

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Cybernetics
• Video game development
• Artificial intelligence
• Windows games
• Dynamic game difficulty balancing
• Action selection
• Artificial neural network
• Machine learning
• Spring Engine

On-line Adapting Games using Agent Organizations Joost Westra, Hado van Hasselt, Virginia Dignum, Frank Dignum Abstract— Almost all computer games that are currently created use fixed scenarios or simple fixed rules to

Source URL: www.csse.uwa.edu.au

• Game design
• Humancomputer interaction
• Artificial intelligence
• Gaming
• Computational neuroscience
• Software
• Dynamic game difficulty balancing
• Design
• Software agent
• Time management
• Simulation
• Adaptation

C:/rep/evotdl/ciginfo/ciginfo.dvi

Source URL: www.csse.uwa.edu.au

• Applied mathematics
• Cybernetics
• Evolution
• Machine learning
• Cognitive science
• Theoretical computer science
• Belief revision
• Reinforcement learning
• Perceptron
• Artificial neural network
• Evolutionary computation
• TDL

The WCCI 2008 Simulated Car Racing Competition Daniele Loiacono, Julian Togelius, Pier Luca Lanzi, Leonard Kinnaird-Heether, Simon M. Lucas, Matt Simmerson, Diego Perez, Robert G. Reynolds, Yago Saez Abstract— This pap

Source URL: www.csse.uwa.edu.au

• Cybernetics
• Software
• Engineering
• Linux games
• Systems science
• TORCS
• Automation
• Control theory
• Genetic algorithm
• Controller

Dynamic Path Prediction and Recommendation in a Museum Environment Karl Grieser†‡ , Timothy Baldwin† and Steven Bird† † CSSE ‡ DIS University of Melbourne University of Melbourne

Source URL: www.aclweb.org

ACL-2010 Copyright Transfer Agreement

Source URL: hum.csse.unimelb.edu.au

PDF Document

Source URL: www.csse.monash.edu.au