Exploiting Untrustworthy Agents in Team Formation

This paper presents a trust-based mechanism for team formation wherein agents selectively pursue partners of varying trustworthiness. The mechanism is tested by using a market-based simulation to determine how pursuing partners with different trust ratings affects an agent's utility. Results fr...

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Hauptverfasser:	Jones, Chris L. D., Fullam, Karen K., Barber, Suzanne
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied computing > Enterprise computing > Enterprise information systems Applied computing > Operations research > Decision analysis Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Cooperation and coordination Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms Information systems > Information systems applications > Decision support systems Information systems > Information systems applications > Enterprise information systems
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Beschreibung
Zusammenfassung:	This paper presents a trust-based mechanism for team formation wherein agents selectively pursue partners of varying trustworthiness. The mechanism is tested by using a market-based simulation to determine how pursuing partners with different trust ratings affects an agent's utility. Results from these experiments show that for jobs with few subtasks, an agent profits by selecting less trustworthy partners, rather than more trustworthy partners.
DOI:	10.1109/IAT.2007.53