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.

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Lecture Notes in Artificial Intelligence
2022 International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2022
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands

Koca, T, Jonker, C.M, & Baarslag, T. (2022). Enabling negotiating agents to explore very large outcome spaces. In Autonomous Agents and Multiagent Systems. Best and Visionary Papers. AAMAS 2022 (pp. 67–83). doi:10.1007/978-3-031-20179-0_4