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Bootstrapping trust and stereotypes with tags
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Player, Caroline E. and Griffiths, Nathan (2017) Bootstrapping trust and stereotypes with tags. In: 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017), Sao Paulo, Brazil, 8-12 May 2017. Published in: Proceedings of the 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017) (Unpublished)
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Official URL: https://sites.google.com/site/trustworkshop/trust2...
Abstract
In real-world environments, cooperation often emerges amongst agents who are observably similar. Estimating the expected behaviour of another agent is a challenging problem, particularly for new agents who have little or no experience of others. In this paper, we show how observable features can be used to find similar, and hence cooperative, partners. Our contribution extends trust and stereotype approaches, to include comparisons and learning of observable features, called tags. In environments where no reciprocity exists (or where there have been insuf- ficient interactions for reciprocity to take effect) tags have been used to encourage cooperation. The only information available to an agent early in its life is knowledge of its own tags and behaviour. We assume that agents who are observably similar will be behaviourally similar too. Agents use reinforcement learning to take advantage of as much available information as possible, until sufficient experience has been gathered for more established trust and stereotype models to be built. Our results show that using tags improves agents’ rewards in the early stages of their lifetime when used prior to established stereotype and trust algorithms. We demonstrate that tags are successful in supporting cooperation, even when agent behaviour is independent of the partner, because the approach correctly identifies similar agents. Good agents are able to select partners who will act as they do, while bad agents avoid those who are observably similar.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Intelligent agents (Computer software), Trust, Computer security., Computer networks -- Security measures., Computer architecture. | ||||
Journal or Publication Title: | Proceedings of the 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017) | ||||
Official Date: | 15 March 2017 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Date of first compliant deposit: | 18 April 2017 | ||||
Date of first compliant Open Access: | 21 April 2017 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 19th International Workshop on Trust in Agent Societies (Trust@AAMAS 2017) | ||||
Type of Event: | Workshop | ||||
Location of Event: | Sao Paulo, Brazil | ||||
Date(s) of Event: | 8-12 May 2017 | ||||
Related URLs: |
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