Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Distributed rational decision making
Multiagent systems
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Autonomous Agents and Multi-Agent Systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Alternating-offers bargaining with one-sided uncertain deadlines: an efficient algorithm
Artificial Intelligence
Game Theoretical Insights in Strategic Patrolling: Model and Algorithm in Normal-Form
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Annals of Mathematics and Artificial Intelligence
Hi-index | 0.00 |
Alternating-offers is the most prominent negotiation protocol for automatic bilateral bargaining. Nevertheless, in most settings it is still not known how two fully rational agents should behave in the protocol. In this paper we study the finite-horizon alternating-offers protocol under one-sided uncertain deadlines. We make a novel use of backward induction in studying bargaining with uncertainty; we employ a “natural” system of beliefs and find, when it exists, the pertinent pure strategy sequential equilibrium. We further show, as an intrinsic limitation of the protocol, that for some parameter values there is no pure strategy sequential equilibrium, whatever system of beliefs is employed.