Multi-agent team formation:solving complex problems by aggregating opinions (Doctoral Consortium)

Soriano Marcolino, Leandro (2015) Multi-agent team formation:solving complex problems by aggregating opinions (Doctoral Consortium). In: Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015). AAAI, pp. 4257-4258.

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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.

Item Type:
Contribution in Book/Report/Proceedings
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ID Code:
81467
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Deposited On:
19 Sep 2016 09:28
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Apr 2020 00:40