Abstract
Automated negotiation is a well-known mechanism for autonomous agents to reach agreements. To realize beneficial agreements quickly, it is key to employ a good bidding strategy. When a negotiating agent has a good back-up plan, i.e., a high reservation value, failing to reach an agreement is not necessarily disadvantageous. Thus, the agent can adopt a risk-seeking strategy, aiming for outcomes with a higher utilities. Accordingly, this paper develops an optimal bidding strategy called MIA-RVelous for bilateral negotiations with private reservation values. The proposed greedy algorithm finds the optimal bid sequence given the agent's beliefs about the opponent in O(n2D) time, with D the maximum number of rounds and n the number of outcomes. The results obtained here can pave the way to realizing effective concurrent negotiations, given that concurrent negotiations can serve as a (probabilistic) backup plan.
Original language | English |
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Pages (from-to) | 2264-2266 |
Number of pages | 3 |
Journal | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
Volume | 2024 |
Issue number | May |
Publication status | Published - 6 May 2024 |
Event | 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024 - Auckland, New Zealand Duration: 6 May 2024 → 10 May 2024 |
Keywords
- Automated negotiation
- Bidding strategy
- Concessions
- Negotiation
- One-to-one negotiation
- Optimal offers
- Reservation value