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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kan-Leung Cheng Zuckerman, I. Nau, D. Golbeck, J. |
| Copyright Year | 2011 |
| Abstract | Standard models in bio-evolutionary game theory involve repetitions of a single stage game (e.g., the Prisoner's Dilemma or the Stag Hunt); but it is clear that repeatedly playing the {\em same} stage game is not an accurate model of most individuals' lives. Rather, individuals' interactions with others correspond to many different kinds of stage games. In this work, we concentrate on discovering behavioral strategies that are successful for the {\em life game}, in which the stage game is chosen stochastically at each iteration. We present a cognitive agent model based on Social Value Orientation (SVO) theory. We provide extensive evaluations of our model's performance, both against standard agents from the game theory literature and against a large set of life-game agents written by students in two different countries. Our empirical results suggest that for life-game strategies to be successful in environments with such agents, it is important (i) to be unforgiving with respect to trust behavior and (ii) to use adaptive, fine-grained opponent models of the other agents. |
| Starting Page | 95 |
| Ending Page | 102 |
| File Size | 302569 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457719318 |
| DOI | 10.1109/PASSAT/SocialCom.2011.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Social value orientation Adaptation models Stochastic games Repeated games Semantics Humans Games Educational institutions Mechanical factors Non-zero-sum games Game theory |
| Content Type | Text |
| Resource Type | Article |
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