Seven methods for transforming corporate data into business intelligence
Seven methods for transforming corporate data into business intelligence
Chess and Machine Intuition
Handbook for Evaluating Knowledge-Based Systems: Conceptual Framework and Compendium of Methods
Handbook for Evaluating Knowledge-Based Systems: Conceptual Framework and Compendium of Methods
Testing Computer Software
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Solving Inexact Search Problems
Solving Inexact Search Problems
Machine learning in games: a survey
Machines that learn to play games
Minds and Machines
Attacks against computer network: formal grammar-based framework and simulation tool
RAID'02 Proceedings of the 5th international conference on Recent advances in intrusion detection
Effective discovery of intrusion protection strategies
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
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We aim to advance in constructing collaborative agents able to acquire the contents of human vocabulary associated with competitions. Refining the framework and criteria of performance of agents we project the study on the class of game tree represented competition problems. For known representative of the class - chess like combinatorial games, we categorize the contents of a comprehensive repository of units of chess vocabulary by formal structures of attributes, goals, strategies, plans, etc. We define Personalized Planning and Integrated Testing algorithms able to elaborate moves in target positions dependent on those categories of chess knowledge. We then demonstrate the effectiveness of the algorithms by experiments in acquisition the solutions of two top Botvinnik's tests - the Reti and Nodareishvili etudes. For min max game tree based search algorithms these etudes appears to be computationally hard due the depth of the required analysis and very dependence on the expert knowledge.