Trust in multi-agent systems

By Sarvapali D. Ramchurn, Trung Dong Huynh, Nicholas R. Jennings. Knowledge engineering review (Print), 2004

754 citations recorded by the source corpus.

Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based techniques and, to this end, this paper examines the specific role of trust in multi-agent systems. In particular, we survey the state of the art and provide an account of the main directions along which research efforts are being focused. In so doing, we critically evaluate the relative strengths and weaknesses of the main models that have been proposed and show how, fundamentally, they all seek to minimise the uncertainty in interactions. Finally, we outline the areas that require further research in order to develop a comprehensive treatment of trust in complex computational settings.

Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/607ee0a5cc8969c2c8d55fd30c1b13ea34583b0f

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Citations in the corpus

Brain Meets Brawn: Why Grid and Agents Need Each Other (2004, methodology): “As with other aspects of agents and Grids, we expect to see the adaptation of agent algorithms and technologies as they incorporate policy specification and enforcement into their basic operations and we expect to see Grid algorithms make use of some of the richness of the various agent trust and re”
A Survey of Trust and Reputation Management Systems in Wireless Communications (2010, background): “This is known as system-level trust [ 28 ] whereby the nodes in a network are induced to behave in a trustworthy manner by the rules of encounter of the system.”
A survey of trust in computer science and the Semantic Web (2007, background): “[80] both proide excellent in-depth surveys of trust in multi-agent systems.”
Autonomous agents modelling other agents: A comprehensive survey and open problems (2017, methodology): “Trust and reputation in multiagent systems is an area of research which uses classiﬁcation and regression methods to model the trustworthiness of agents (see Pinyol and Sabater-Mir (2013), Yu et al. (2013), and Ramchurn et al. (2004) for useful surveys).”
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources (2006, background): “It is now well established that computational trust is important in such open systems [13, 9, 16].”
Multi-Agent Systems (2017, positive): “Moreover, as the individuals only have incomplete knowledge about their environment and their peers, trust plays a central role in facilitating these interactions [12, 24].”