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About Negotiation and Cooperation Multi Agent
This document discusses using an interdisciplinary approach to build cooperative and coordinated artificial intelligence agents. It argues that combining AI techniques with methods from fields studying multi-entity behavior like game theory, operations research, physics and philosophy can help address challenges in designing intelligent agents. The document outlines parameters that influence what techniques to apply, like the level of cooperation among agents. It provides examples of applying game theory to situations where self-motivated agents allocate resources and negotiate, and using physics models when large numbers of homogeneous agents interact.
Detailed Information
Author: | ['Bụi Đường'] |
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Publication Year: | 2015 |
Pages: | 19 |
Language: | English |
Format: | |
Price: | FREE |
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