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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mayer, H.A. Maier, P. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Sci. Comput., Salzburg Univ., Austria (Mayer, H.A.; Maier, P.) |
| Abstract | We present experiments (co)evolving Go players based on artificial neural networks (ANNs) for a 5/spl times/5 board. ANN structure and weights are encoded in multi-chromosomal genotypes. In evolutionary scenarios, a population of generalized multi-layer perceptrons (GMLPs) has to compete with a single Go program from a set of three players of different quality. Two coevolutionary approaches, namely, a dynamically growing culture, and a fixed-size elite represent the changing environment of the coevolving population. The playing quality of the (co)evolved players is measured by a strength value derived from games against the set of three programs. We also report on first experiments employing recurrent networks, which allow a direct structural representation of the Go board. Finally, the quality of all the best (co)evolved players is evaluated in a round robin tournament. |
| Starting Page | 1017 |
| Ending Page | 1024 |
| File Size | 1834370 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780393635 |
| DOI | 10.1109/CEC.2005.1554802 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cultural differences Humans Scientific computing Artificial neural networks Computational intelligence Game theory Intelligent networks Multilayer perceptrons Round robin Competitive intelligence |
| Content Type | Text |
| Resource Type | Article |
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