MAAIApr 16, 2016

Tasks for agent-based negotiation teams: Analysis, review, and challenges

arXiv:1604.04727v130 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review for multi-agent systems researchers, focusing on a recently introduced topic to guide future work.

The paper tackles the problem of advancing the state-of-the-art in agent-based negotiation teams by reviewing and analyzing the tasks involved, identifying challenges and relating them to current research.

An agent-based negotiation team is a group of interdependent agents that join together as a single negotiation party due to their shared interests in the negotiation at hand. The reasons to employ an agent-based negotiation team may vary: (i) more computation and parallelization capabilities, (ii) unite agents with different expertise and skills whose joint work makes it possible to tackle complex negotiation domains, (iii) the necessity to represent different stakeholders or different preferences in the same party (e.g., organizations, countries, and married couple). The topic of agent-based negotiation teams has been recently introduced in multi-agent research. Therefore, it is necessary to identify good practices, challenges, and related research that may help in advancing the state-of-the-art in agent-based negotiation teams. For that reason, in this article we review the tasks to be carried out by agent-based negotiation teams. Each task is analyzed and related with current advances in different research areas. The analysis aims to identify special challenges that may arise due to the particularities of agent-based negotiation teams.

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