RUS  ENG
Full version
JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2010 Issue 1, Pages 15–19 (Mi iipr485)

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.

Language: English



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024