Studying the impact of negotiation environments on negotiation teams' performance
This work provides incremental insights for AI researchers and practitioners in multi-agent systems by identifying optimal intra-team strategies under varying environmental conditions.
The study investigated how negotiation environment factors, such as deadlines and opponent concession speed, affect the performance of agent-based negotiation teams, finding that these conditions influence metrics like team member utility and negotiation rounds.
In this article we study the impact of the negotiation environment on the performance of several intra-team strategies (team dynamics) for agent-based negotiation teams that negotiate with an opponent. An agent-based negotiation team is a group of agents that joins together as a party because they share common interests in the negotiation at hand. It is experimentally shown how negotiation environment conditions like the deadline of both parties, the concession speed of the opponent, similarity among team members, and team size affect performance metrics like the minimum utility of team members, the average utility of team members, and the number of negotiation rounds. Our goal is identifying which intra-team strategies work better in different environmental conditions in order to provide useful knowledge for team members to select appropriate intra-team strategies according to environmental conditions.