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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jong Yih Kuo Lee, J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan (Jong Yih Kuo) |
| Abstract | This work presents a fuzzy mental model to address evolution of intelligent agents in virtual market. Agent fitness and fuzzy multi-criteria decision-making are proposed as evolution mechanisms, and fuzzy soft goals are introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle. We conduct a series of experiments to determine the most successful strategies and to see how and when these strategies evolve based on the context and the bidding stance of the agent's opponent. |
| Starting Page | 331 |
| Ending Page | 336 |
| File Size | 738311 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780383532 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.2004.1375744 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-07-25 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent agent Computer science Cognitive science Electronic mail Decision making Genetic programming Promotion - marketing Ontologies Cameras |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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