Negotiation in Exploration-Based Environment

Authors

  • Israel Sofer Bar Ilan University
  • David Sarne Bar Ilan University
  • Avinatan Hassidim Bar Ilan University

DOI:

https://doi.org/10.1609/aaai.v26i1.8245

Keywords:

Multiagent Systems, Negotiation and Contract-Based Systems, Coordination and Collaboration

Abstract

This paper studies repetitive negotiation over the execution of an exploration process between two self-interested, fully rational agents in a full information environmentwith side payments. A key aspect of the protocolis that the exploration’s execution may interleaves ith the negotiation itself, inflicting some degradationon the exploration’s flexibility. The advantage of this form of negotiation is in enabling the agents supervising that the exploration’s execution takes place in its agreedform as negotiated. We show that in many cases, much of the computational complexity of the new protocol can be eliminated by solving an alternative negotiation scheme according to which the parties first negotiate theexploration terms as a whole and then execute it. As demonstrated in the paper, the solution characteristics of the new protocol are somehow different from thoseof legacy negotiation protocols where the execution of the agreement reached through the negotiation is completely separated from the negotiation process. Furthermore, if the agents are given the option to control some of the negotiation protocol parameters, the resulting exploration may be suboptimal. In particular we show that the increase in an agent’s expected utility in such casesis unbounded and so is the resulting decrease in the social welfare. Surprisingly, we show that further increasingone of the agents’ level of control in some of thenegotiation parameters enables bounding the resultingdecrease in the social welfare.

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Published

2021-09-20

How to Cite

Sofer, I., Sarne, D., & Hassidim, A. (2021). Negotiation in Exploration-Based Environment. Proceedings of the AAAI Conference on Artificial Intelligence, 26(1), 1450-1456. https://doi.org/10.1609/aaai.v26i1.8245

Issue

Section

AAAI Technical Track: Multiagent Systems