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Artificial Intelligence and Decision Making, 2010, Issue 1, Pages 15–19
(Mi iipr485)
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Behavior modeling and managament
Towards quantification of externality in collaborating communities
Joseph J. Viscomi, Henry Hexmoor Southern Illinois University Carbondale
Abstract:
This paper presents an analysis of a multi-agent system intended to model total task completion rates in collaborating communities. The spillover effect is emergent. We begin to quantify externality of marginal utilities. We are concerned with maximizing the output of the given community through regulation of agent to task ratios. We outline emergent externalities when collaboration occurs, even in absence of communication and planning. We offer a simple means of regulating externalities in these situations by means of sketching an agent distribution strategy.
Citation:
Joseph J. Viscomi, Henry Hexmoor, “Towards quantification of externality in collaborating communities”, Artificial Intelligence and Decision Making, 2010, no. 1, 15–19
Linking options:
https://www.mathnet.ru/eng/iipr485 https://www.mathnet.ru/eng/iipr/y2010/i1/p15
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Statistics & downloads: |
Abstract page: | 18 | Full-text PDF : | 2 | References: | 1 |
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