Laurent Vercouter

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A diverse collection of trust-modeling algorithms for multi-agent systems has been developed in recent years, resulting in significant breadth-wise growth without unified direction or benchmarks. Based on enthusiastic response from the agent trust community, the Agent Reputation and Trust (ART) Testbed initiative has been launched, charged with the task of(More)
The Agent Reputation and Trust (ART) Testbed initiative has been launched with the goal of establishing a testbed for agent reputationand trustrelated technologies. This testbed serves in two roles: (1) as a competition forum in which researchers can compare their technologies against objective metrics, and (2) as a suite of tools with flexible parameters,(More)
The aim of this paper is to present a logical framework in which the concepts of trust and reputation can be formally characterized and their properties studied. We start from the definition of trust proposed by Castelfranchi & Falcone (C&F). We formalize this definition in a logic of time, action, beliefs and choices. Then, we provide a refinement of C&F’s(More)
Social order in distributed descentralised systems is claimed to be obtained by using social norms and social control. This paper presents a normative P2P architecture to obtain social order in multiagent systems. We propose the use of two types of norms that coexist: rules and conventions. Rules describe the global normative constraints on autonomous(More)
The Agent Reputation and Trust (ART) Testbed [1] provides functionality for researchers of trust and reputation in multi-agent systems. As a versatile, universal experimentation site, the ART Testbed scopes relevant trust research problems and unites researchers toward solutions via unified experimentation methods. Through objective, well-defined metrics,(More)
Dynamicity is an important requirement for critical software adaptation where a stop can be dangerous (e.g. for humans or environment) or costly (e.g. power plants or production lines). Adaptation at run-time is also required in context-aware applications where execution conditions often change. In this paper, we introduce MaDcAr, an abstract model of(More)
Ambient Intelligence pushes forward a vision where technology is integrated into everyday objects with the intent of turning the users’ surrounding environment into a global and simple interface with information systems. This vision poses major challenges in designing systems that smartly adapt their behavior towards smarter interaction with users. In this(More)
1Laboratory for Intelligent Processes and Systems, University of Texas at Austin, USA 2Center for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands 3École Nationale Supérieure des Mines, Saint-Étienne, France 4Institute of Cognitive Science and Technology (ISTC), National Research Council (CNR), Rome, Italy 5IT Transfer Office, Darmstadt(More)