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ЖУРНАЛЫ // Искусственный интеллект и принятие решений // Архив

Искусственный интеллект и принятие решений, 2010, выпуск 1, страницы 15–19 (Mi iipr485)

Моделирование поведения и управление

Towards quantification of externality in collaborating communities

Joseph J. Viscomi, Henry Hexmoor

Southern Illinois University Carbondale

Аннотация: 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.

Язык публикации: английский



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