haku: @author Pakath, R. / yhteensä: 5
viite: 3 / 5
| Tekijä: | Meng, C.-L. Pakath, R. |
| Otsikko: | The iterated prisoner's dilemma: early experiences with learning classifier system-based simple agents |
| Lehti: | Decision Support Systems
2001 : OCT, VOL. 31:4, p. 379-403 |
| Asiasana: | AGENCIES LEARNING |
| Vapaa asiasana: | ITERATED PRISONER'S DILEMMA |
| Kieli: | eng |
| Tiivistelmä: | Prior research on artificial agents/agencies involves entities using specifically tailored operational strategies (e.g. for information retrieval, purchase negotiation). Using the Iterated Prisoner's Dilemma (IPD) problem as a generic agent-interaction setting, the authors use the Learning Classifier System (LCS) paradigm to construct autonomously adapting "simple" agents. |
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