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 |
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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 | |
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 |
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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