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Specifying Artificial Institutions in the Event Calculus

Specifying Artificial Institutions in the Event Calculus

Nicoletta Fornara, Marco Colombetti
ISBN13: 9781605662565|ISBN10: 1605662569|EISBN13: 9781605662572
DOI: 10.4018/978-1-60566-256-5.ch014
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MLA

Fornara, Nicoletta, and Marco Colombetti. "Specifying Artificial Institutions in the Event Calculus." Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models, edited by Virginia Dignum, IGI Global, 2009, pp. 335-366. https://doi.org/10.4018/978-1-60566-256-5.ch014

APA

Fornara, N. & Colombetti, M. (2009). Specifying Artificial Institutions in the Event Calculus. In V. Dignum (Ed.), Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models (pp. 335-366). IGI Global. https://doi.org/10.4018/978-1-60566-256-5.ch014

Chicago

Fornara, Nicoletta, and Marco Colombetti. "Specifying Artificial Institutions in the Event Calculus." In Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models, edited by Virginia Dignum, 335-366. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-256-5.ch014

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Abstract

The specification of open interaction systems is widely recognized to be a crucial issue, which involves the problem of finding a standard way of specifying: a communication language for the interacting agents, the entities that constitute the context of the interaction, and rules that regulate interactions. An approach to solve these problems consists in modelling open interaction systems as a set of artificial institutions. In this chapter we address this issue by formally defining, in the Event Calculus, a repertoire of abstract concepts (like commitment, institutional power, role, and norm) that can be used to specify every artificial institution. We then show how, starting from the formal definition of these concepts and of application-dependent concepts, it is possible to obtain a formal specification of a system. By using a suitable tool, it is then possible to simulate and monitor the system’s evolution through automatic deduction.

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