Universal subgoaling and chunking: the automatic generation and learning of goal hierarchies
Universal subgoaling and chunking: the automatic generation and learning of goal hierarchies
Advances in computer chess
Algorithms for games
A pattern classification approach to evaluation function learning
Artificial Intelligence
The 20th annual ACM North American computer chess championship
Communications of the ACM
Data compression using an intelligent generator: the storage of chess games as an example
Artificial Intelligence
Using inductive inference of past performance to build strategic cognitive adversary models
Using inductive inference of past performance to build strategic cognitive adversary models
Modeling human expertise in expert systems
The psychology of expertise
Chess Skill in Man and Machine
Chess Skill in Man and Machine
Kasparov Vs. Deep Blue: Computer Chess Comes of Age
Kasparov Vs. Deep Blue: Computer Chess Comes of Age
Handbook of AI
Chunking as an abstraction mechanism
Chunking as an abstraction mechanism
Reflections on building two Go programs
ACM SIGART Bulletin
Reinforcement learning for training a computer program of Chinese chess
International Journal of Intelligent Information and Database Systems
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Artificial Intelligence programs operating in competitive domains typically use brute-force search if the domain can be modeled using a search tree or alternately use nonsearch heuristics as in production rule-based expert systems. While brute-force techniques have recently proven to be a viable method for modeling domains with smaller search spaces, such as checkers and chess, the same techniques cannot succeed in more complex domains, such as shogi or go. This research uses a cognitive-based modeling strategy to develop a heuristic search technique based on cognitive thought processes with minimal domain specific knowledge. The cognitive-based search technique provides a significant reduction in search space complexity and, furthermore, enables the search paradigms to be extended to domains that are not typically thought of as search domains such as aerial combat or corporate takeovers.