Evolutionary Artificial Neural Network Weight Tuning to Optimize Decision Making for an Abstract Game - Couverture souple

Miller, Corey M

 
9781288307098: Evolutionary Artificial Neural Network Weight Tuning to Optimize Decision Making for an Abstract Game
Couverture souple
ISBN 10 : 1288307098 ISBN 13 : 9781288307098
Editeur : BiblioBazaar, LLC, 2012

Synopsis

Abstract strategy games present a deterministic perfect information environment with which to test the strategic capabilities of artificial intelligence systems. With no unknowns or random elements, only the competitors' performances impact the results. This thesis takes one such game, Lines of Action, and attempts to develop a competitive heuristic. Due to the complexity of Lines of Action, artificial neural networks are utilized to model the relative values of board states. An application, pLoGANN (Parallel Lines of Action with Genetic Algorithm and Neural Networks), is developed to train the weights of this neural network by implementing a genetic algorithm over a distributed environment. While pLoGANN proved to be designed efficiently, it failed to produce a competitive Lines of Action player, shedding light on the difficulty of developing a neural network to model such a large and complex solution spa

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Éditeur
BiblioBazaar, LLC
Date d'édition
2012
Langue
anglais
ISBN 10 
1288307098
ISBN 13 
9781288307098
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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