Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence

Andrew R. Buck; Tanvi Banerjee; James M. Keller

doi:10.1109/CEC.2014.6900568

Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence

Andrew R. Buck, Tanvi Banerjee, James M. Keller

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an approach to designing a strategy for the game of Geister using the three main research areas of computational intelligence. We use a goal-based fuzzy inference system to evaluate the utility of possible actions and a neural network to estimate unobservable features (the true natures of the opponent ghosts). Finally, we develop a coevolutionary algorithm to learn the parameters of the strategy. The resulting autonomous gameplay agent was entered in a global competition sponsored by the IEEE Computational Intelligence Society and finished second among eight participating teams.

Original language	English
Title of host publication	2014 IEEE Congress on Evolutionary Computation (CEC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	28-35
Number of pages	8
ISBN (Electronic)	9781479914883, 978-1-4799-6626-4
DOIs	https://doi.org/10.1109/CEC.2014.6900568
State	Published - Sep 16 2014
Event	2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing, China Duration: Jul 6 2014 → Jul 11 2014

Conference

Conference	2014 IEEE Congress on Evolutionary Computation, CEC 2014
Country/Territory	China
City	Beijing
Period	7/6/14 → 7/11/14

ASJC Scopus Subject Areas

Artificial Intelligence
Computational Theory and Mathematics
Theoretical Computer Science

Keywords

Games
Nural networks
Fuzzy logic
Vectors
Inference algorithms
Training
Computational intelligence

Disciplines

Bioinformatics
Communication Technology and New Media
Databases and Information Systems
OS and Networks
Science and Technology Studies

Access to Document

10.1109/CEC.2014.6900568License: Unspecified

Cite this

Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence. / Buck, Andrew R.; Banerjee, Tanvi; Keller, James M.
2014 IEEE Congress on Evolutionary Computation (CEC). Institute of Electrical and Electronics Engineers Inc., 2014. p. 28-35 6900568.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Buck, AR, Banerjee, T & Keller, JM 2014, Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence. in 2014 IEEE Congress on Evolutionary Computation (CEC)., 6900568, Institute of Electrical and Electronics Engineers Inc., pp. 28-35, 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, 7/6/14. https://doi.org/10.1109/CEC.2014.6900568

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Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister: An Exercise in Teaching Computational Intelligence

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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