Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions

Authors

  • Leandro Soriano Marcolino University of Southern California

DOI:

https://doi.org/10.1609/aaai.v29i1.9257

Keywords:

Multi-agent systems, Distributed problem solving

Abstract

It is known that we can aggregate the opinions of different agents to find high-quality solutions to complex problems. However, choosing agents to form a team is still a great challenge. Moreover, it is essential to use a good aggregation methodology in order to unleash the potential of a given team in solving complex problems. In my thesis, I present two different novel models to aid in the team formation process. Moreover, I propose a new methodology for extracting rankings from existing agents. I show experimental results both in the Computer Go domain and in the building design domain.

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Published

2015-03-04

How to Cite

Soriano Marcolino, L. (2015). Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9257