Add to ORKGIncludes bibliographical references (pages [72]-73)This goal of this thesis is to implement a simple classifier system in-a game environment. The chosen game is tic-tac-toe. Additionally, the classifier will be implemented with both constant and non-constant genetic periods. The performance of the two types of classifier systems will be compared with each other. This will be done using games with various initial conditions and both strategic and random computer opponents.M.S. (Master of Science
One of the popular multi-class classification methods is to combine binary classifiers. As well as t...
International audienceRecent works have shown that Genetic Programming (GP) can be quite successful ...
It is well known that standard learning classifier systems, when applied to many different domains, ...
Classifier systems are massively parallel, message-passing, rule-based systems that learn through cr...
Games are becoming increasingly indispensable, not only for fun but also to support tasks that are m...
Games are good domains for strategy and decision making problems due to its unpredictability. Real-t...
IEEE International Conference on Systems, Man, and Cybernetics. Tokyo, 12-15 October 1999.The object...
Real Time Strategy Games (RTSG) are a strong test bed for AI research, particularly on the subject o...
EvoGAMES 2011 3rd European Event on Bio-inspired Algorithms in Games in EvoApplications 2011, Torino...
Congress on Evolutionary Computation. Washington, DC, 6-9 July 1999.One of the major problems relate...
One of the major problems related to Classifier Systems is the loss of rules. This loss is caused by...
The concept of evolving components of an artificial intelligence (AI) has seen increased interest in...
In this paper, we discuss an automatic programming for game strategy acquisition using genetic progr...
This book provides a unified framework that describes how genetic learning can be used to design pat...
Users ’ requirements for games with a more realistic behavior have reinforced the importance of arti...
One of the popular multi-class classification methods is to combine binary classifiers. As well as t...
International audienceRecent works have shown that Genetic Programming (GP) can be quite successful ...
It is well known that standard learning classifier systems, when applied to many different domains, ...
Classifier systems are massively parallel, message-passing, rule-based systems that learn through cr...
Games are becoming increasingly indispensable, not only for fun but also to support tasks that are m...
Games are good domains for strategy and decision making problems due to its unpredictability. Real-t...
IEEE International Conference on Systems, Man, and Cybernetics. Tokyo, 12-15 October 1999.The object...
Real Time Strategy Games (RTSG) are a strong test bed for AI research, particularly on the subject o...
EvoGAMES 2011 3rd European Event on Bio-inspired Algorithms in Games in EvoApplications 2011, Torino...
Congress on Evolutionary Computation. Washington, DC, 6-9 July 1999.One of the major problems relate...
One of the major problems related to Classifier Systems is the loss of rules. This loss is caused by...
The concept of evolving components of an artificial intelligence (AI) has seen increased interest in...
In this paper, we discuss an automatic programming for game strategy acquisition using genetic progr...
This book provides a unified framework that describes how genetic learning can be used to design pat...
Users ’ requirements for games with a more realistic behavior have reinforced the importance of arti...
One of the popular multi-class classification methods is to combine binary classifiers. As well as t...
International audienceRecent works have shown that Genetic Programming (GP) can be quite successful ...
It is well known that standard learning classifier systems, when applied to many different domains, ...