Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Sorting on Electronic Computer Systems
Journal of the ACM (JACM)
Communications of the ACM
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Game Developer's Guide to Design and Production
Game Developer's Guide to Design and Production
How Qualitative Spatial Reasoning Can Improve Strategy Game AIs
IEEE Intelligent Systems
Qualitative Spatial Representation and Reasoning Techniques
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
A programming language
Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)
Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology)
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Strategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the intelligence of the computer generated forces is limited. After some time, player gets used to the simulation making it less attractive and challenging. It is also costly and tedious to incorporate new rules for an existing game. The main motivation behind this research project is to improve the quality of artificial intelligence- (AI-) based on various techniques such as qualitative spatial reasoning (Forbus et al., 2002), near-optimal hierarchical pathfinding (HPA*) (Botea et al., 2004), and reinforcement learning (RL) (Sutton and Barto, 1998).