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  1. Open Information Systems Semantics for distributed artificial intelligence.Carl Hewitt - 1991 - Artificial Intelligence 47 (1-3):79-106.
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  • On social laws for artificial agent societies: off-line design.Yoav Shoham & Moshe Tennenholtz - 1995 - Artificial Intelligence 73 (1-2):231-252.
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  • Agent strands in the action language n C +.Robert Craven & Marek Sergot - 2008 - Journal of Applied Logic 6 (2):172-191.
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  • Deontic interpreted systems.Alessio Lomuscio & Marek Sergot - 2003 - Studia Logica 75 (1):63 - 92.
    We investigate an extension of the formalism of interpreted systems by Halpern and colleagues to model the correct behaviour of agents. The semantical model allows for the representation and reasoning about states of correct and incorrect functioning behaviour of the agents, and of the system as a whole. We axiomatise this semantic class by mapping it into a suitable class of Kripke models. The resulting logic, KD45n i-j, is a stronger version of KD, the system often referred to as Standard (...)
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  • Artificial institutions: A model of institutional reality for open multiagent systems. [REVIEW]Nicoletta Fornara, Francesco Viganò, Mario Verdicchio & Marco Colombetti - 2008 - Artificial Intelligence and Law 16 (1):89-105.
    Software agents’ ability to interact within different open systems, designed by different groups, presupposes an agreement on an unambiguous definition of a set of concepts, used to describe the context of the interaction and the communication language the agents can use. Agents’ interactions ought to allow for reliable expectations on the possible evolution of the system; however, in open systems interacting agents may not conform to predefined specifications. A possible solution is to define interaction environments including a normative component, with (...)
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  • An executable specification of a formal argumentation protocol.Alexander Artikis, Marek Sergot & Jeremy Pitt - 2007 - Artificial Intelligence 171 (10-15):776-804.
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  • Nonmonotonic causal theories.Joohyung Lee, Vladimir Lifschitz & Hudson Turner - 2004 - Artificial Intelligence 153 (1-2):49-104.
    cuted actions. It has been applied to several challenge problems in the theory of commonsense knowledge. We study the relationship between this formalism and other work on nonmonotonic reasoning and knowl-.
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  • An ontology for commitments in multiagent systems. [REVIEW]Munindar P. Singh - 1999 - Artificial Intelligence and Law 7 (1):97-113.
    Social commitments have long been recognized as an important concept for multiagent systems. We propose a rich formulation of social commitments that motivates an architecture for multiagent systems, which we dub spheres of commitment. We identify the key operations on commitments and multiagent systems. We distinguish between explicit and implicit commitments. Multiagent systems, viewed as spheres of commitment (SoComs), provide the context for the different operations on commitments. Armed with the above ideas, we can capture normative concepts such as obligations, (...)
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  • The ontological properties of social roles in multi-agent systems: Definitional dependence, powers and roles playing roles. [REVIEW]Guido Boella & Leendert van der Torre - 2007 - Artificial Intelligence and Law 15 (3):201-221.
    In this paper we address the problem of defining social roles in multi-agent systems. Social roles provide the basic structure of social institutions and organizations. We start from the properties attributed to roles both in the multi-agent systems and the Object Oriented community, and we use them in an ontological analysis of the notion of social role. We identify three main properties of social roles. First, they are definitionally dependent on the institution they belong to, i.e. the definition of a (...)
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  • Choosing social laws for multi-agent systems: Minimality and simplicity.David Fitoussi & Moshe Tennenholtz - 2000 - Artificial Intelligence 119 (1-2):61-101.
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