A Coupled Operational Semantics for Goals and Commitments

Journal Article (2019)
Author(s)

Pankaj R. Telang (University of North Carolina, SAS Institute Inc.)

Munindar P. Singh (University of North Carolina)

Neil Yorke-Smith (TU Delft - Algorithmics)

Research Group
Algorithmics
Copyright
© 2019 Pankaj R. Telang, Munindar P. Singh, N. Yorke-Smith
DOI related publication
https://doi.org/10.1613/jair.1.11494
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Pankaj R. Telang, Munindar P. Singh, N. Yorke-Smith
Research Group
Algorithmics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care   Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
65
Pages (from-to)
31-85
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Abstract

Commitments capture how an agent relates to another agent, whereas goals describe states of the world that an agent is motivated to bring about. Commitments are elements of the social state of a set of agents whereas goals are elements of the private states of individual agents. It makes intuitive sense that goals and commitments are understood as being complementary to each other. More importantly, an agent’s goals and commitments ought to be coherent, in the sense that an agent’s goals would lead it to adopt or modify relevant commitments and an agent’s commitments would lead it to adopt or modify relevant goals. However, despite the intuitive naturalness of the above connections, they have not been adequately studied in a formal framework. This article provides a combined operational semantics for goals and commitments by relating their respective life cycles as a basis for how these concepts (1) cohere for an individual agent and (2) engender cooperation among agents. Our semantics yields important desirable properties of convergence of the configurations of cooperating agents, thereby delineating some theoretically well-founded yet practical modes of cooperation in a multiagent system.

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