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Proceedings of the 34th Annual Hawaii International Conference on System Sciences (2001)
Maui, Hawaii
Jan. 3, 2001 to Jan. 6, 2001
ISSN: 1530-1605
ISBN: 0-7695-0981-9
pp: 1041
We experiment conditions for the emergence of trust in a multi-agent bidding setting using computational approach. This is a follow up of our study on multi-agent bidding and contracting for non-storable goods. In this framework, there is a long-term contract market as well as a backstop spot market. Seller agents bid into an electronic bulletin board their contract offers in terms of price and capacity, while the Buyer agents decide how much to contract with the Sellers and how much to shop from the spot market. The goal is the following: First, to investigate if the agents using reinforcement learning (non-myopic bidding) can discover good and effective bidding, auction and contracting strategies when playing repeated non-linear games where there does not exist any equilibrium; Second, to explore the emergence of trust in the sense of what kind of mechanisms induce cooperation in the above repeated non-linear game.
Trust, Coordination, Multi-Agent Systems, Bidding, Disequilibrium, Reinforcement Learning, Game Theory

Y. Sun and D. Wu, "The Emergence of Trust in Multi-Agent Bidding: A Computational Approach," Proceedings of the 34th Annual Hawaii International Conference on System Sciences(HICSS), Maui, Hawaii, 2001, pp. 1041.
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