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The Dynamics of Intention in Collaborative Activity
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BibTeX
@MISC{Grosz_thedynamics,
author = {Barbara J. Grosz and Luke Hunsberger},
title = {The Dynamics of Intention in Collaborative Activity },
year = {}
}
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Abstract
An adequate formulation of collective intentionality is crucial for understanding group activity and for modeling the mental state of participants in such activities. Although work on collective intentionality in philosophy, artificial intelligence, and cognitive science has many points of agreement, several key issues remain under debate. This paper argues that the dynamics of intention—in particular, the interrelated processes of plan-related group decision making and intention updating— play crucial roles in an explanation of collective intentionality. Furthermore, it is in these dynamic aspects that coordinated group activity differs most from individual activity. The paper specifies a model of the dynamics of agent intentions in the context of collaborative activity. Its integrated treatment of group decision making and coordinated updating of group-related intentions fills an important gap in prior accounts of collective intentionality, thus helping to resolve a long-standing debate about the nature of intentions in group activity. The paper also defines an architecture for collaboration-capable computer agents that satisfies the constraints of the model and is a natural extension of the standard architecture for resource-bounded agents operating as individuals. The new architecture is both more principled and more complete than prior architectures for collaborative multi-agent systems.
Keyphrases
collaborative activity collective intentionality group activity dynamic aspect collaboration-capable computer agent group-related intention cognitive science resource-bounded agent plan-related group decision making new architecture long-standing debate individual activity adequate formulation integrated treatment mental state artificial intelligence crucial role agent intention group decision making important gap interrelated process standard architecture many point collaborative multi-agent system prior account natural extension several key issue prior architecture
