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Enabling Negotiating Agents to Explore Very Large Outcome Spaces

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Abstract

This work presents BIDS (Bidding using Diversified Search), an algorithm that can be used by negotiating agents to search very large outcome spaces. BIDS provides a balance between being rapid, accurate, diverse, and scalable search, allowing agents to search spaces with as many as 10 250 possible outcomes on very run-of-the-mill hardware. We show that our algorithm can be used to respond to the three most common search queries employed by 87% of all agents from the Automated Negotiating Agents Competition. Furthermore, we validate one of our techniques by integrating it into negotiation platform GeniusWeb, to enable existing state-of-the-art agents (and future agents) to scale their use to very large outcome spaces.
Original languageEnglish
Title of host publicationAutonomous Agents and Multiagent Systems. Best and Visionary Papers
Subtitle of host publicationAAMAS 2022 Workshops, Virtual Event, May 9–13, 2022, Revised Selected Papers
EditorsFrancisco S. Melo, Fei Fang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages67-83
Number of pages17
ISBN (Electronic)9783031201790
ISBN (Print)9783031201783
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventWorkshops on OptLearn-MAS, MABS, ABMUS, EMAS, and RAD-AI, held at the 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 - Virtual, Online
Duration: 9 May 202213 May 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13441 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshops on OptLearn-MAS, MABS, ABMUS, EMAS, and RAD-AI, held at the 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022
CityVirtual, Online
Period9/05/2213/05/22

Funding

Acknowledgements. The research reported in this article is part of Vidi research project VI.Vidi.203.044, financed by the Dutch Research Council (NWO).

Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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