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  1. Communicating open systems.Mark dʼInverno, Michael Luck, Pablo Noriega, Juan A. Rodriguez-Aguilar & Carles Sierra - 2012 - Artificial Intelligence 186 (C):38-94.
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  • Emergence of social conventions in complex networks.Jordi Delgado - 2002 - Artificial Intelligence 141 (1-2):171-185.
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  • Electronic institutions for B2B: dynamic normative environments. [REVIEW]Henrique Lopes Cardoso & Eugénio Oliveira - 2008 - Artificial Intelligence and Law 16 (1):107-128.
    The regulation of the activity of multiple autonomous entities represented in a multi-agent system, in environments with no central design (and thus with no cooperative assumption), is gaining much attention in the research community. Approaches to this concern include the use of norms in so-called normative multi-agent systems and the development of electronic institution frameworks. In this paper we describe our approach towards the development of an electronic institution providing an enforceable normative environment. Within this environment, institutional services are provided (...)
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  • Intentions and potential intentions revisited.Xiaocong Fan & John Yen - 2012 - Journal of Applied Non-Classical Logics 22 (3):203-230.
    The importance of potential intentions has been demonstrated both in the construction of agent systems and in the formalisation of teamwork behaviour. However, there still lacks an adequate semantics for the notion of potential intentions as introduced by Grosz and Kraus in their SharedPlans framework. In this paper, we give a formal semantics to intentions and potential intentions, drawing upon both the representationalist approach and the accessibility-based approach. The model captures the dynamic relationship among intentions and potential intentions by providing (...)
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  • Probabilistic rule-based argumentation for norm-governed learning agents.Régis Riveret, Antonino Rotolo & Giovanni Sartor - 2012 - Artificial Intelligence and Law 20 (4):383-420.
    This paper proposes an approach to investigate norm-governed learning agents which combines a logic-based formalism with an equation-based counterpart. This dual formalism enables us to describe the reasoning of such agents and their interactions using argumentation, and, at the same time, to capture systemic features using equations. The approach is applied to norm emergence and internalisation in systems of learning agents. The logical formalism is rooted into a probabilistic defeasible logic instantiating Dung’s argumentation framework. Rules of this logic are attached (...)
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  • Monitoring compliance with E-contracts and norms.Sanjay Modgil, Nir Oren, Noura Faci, Felipe Meneguzzi, Simon Miles & Michael Luck - 2015 - Artificial Intelligence and Law 23 (2):161-196.
    The behaviour of autonomous agents may deviate from that deemed to be for the good of the societal systems of which they are a part. Norms have therefore been proposed as a means to regulate agent behaviours in open and dynamic systems, where these norms specify the obliged, permitted and prohibited behaviours of agents. Regulation can effectively be achieved through use of enforcement mechanisms that result in a net loss of utility for an agent in cases where the agent’s behaviour (...)
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