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Anders, Gerrit Seebach, Hella Steghöfer, Jan-Philipp Reif, Wolfgang André, Elisabeth Hähner, Jörg Müller-Schloer, Christian and Ungerer, Theo 2016. Trustworthy Open Self-Organising Systems.
Bidgoly, Amir Jalaly and Ladani, Behrouz Tork 2016. Modeling and Quantitative Verification of Trust Systems Against Malicious Attackers. The Computer Journal, Vol. 59, Issue. 7, p. 1005.
Edenhofer, Sarah Tomforde, Sven Kantert, Jan Klejnowski, Lukas Bernard, Yvonne Hähner, Jörg and Müller-Schloer, Christian 2016. Trustworthy Open Self-Organising Systems.
Jalaly Bidgoly, Amir and Tork Ladani, Behrouz 2016. Benchmarking reputation systems: A quantitative verification approach. Computers in Human Behavior, Vol. 57, p. 274.
Kravari, Kalliopi and Bassiliades, Nick 2016. DISARM: A social distributed agent reputation model based on defeasible logic. Journal of Systems and Software, Vol. 117, p. 130.
Messina, F. Pappalardo, G. Rosaci, D. Santoro, C. and Sarné, G.M.L. 2016. A trust-aware, self-organizing system for large-scale federations of utility computing infrastructures. Future Generation Computer Systems, Vol. 56, p. 77.
Tian, Bo Han, Jingti and Liu, Kecheng 2016. Closed-Loop Feedback Computation Model of Dynamical Reputation Based on the Local Trust Evaluation in Business-to-Consumer E-Commerce. Information, Vol. 7, Issue. 1, p. 4.
Yang, Shu Liu, Zhihan Li, Jinglin Wang, Shangguang and Yang, Fangchun 2016. Anomaly Detection for Internet of Vehicles: A Trust Management Scheme with Affinity Propagation. Mobile Information Systems, Vol. 2016, p. 1.
Anders, Gerrit Schiendorfer, Alexander Siefert, Florian Steghöfer, Jan-Philipp and Reif, Wolfgang 2015. Cooperative Resource Allocation in Open Systems of Systems. ACM Transactions on Autonomous and Adaptive Systems, Vol. 10, Issue. 2, p. 1.
Aref, Abdullah M and Tran, Thomas T 2015. A decentralized trustworthiness estimation model for open, multiagent systems (DTMAS). Journal of Trust Management, Vol. 2, Issue. 1,
Berti-Équille, Laure and Borge-Holthoefer, Javier 2015. Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Synthesis Lectures on Data Management, Vol. 7, Issue. 3, p. 1.
Carbo, Javier and Molina, Jose M. 2015. Evolutionary-inspired approach to compare trust models in agent simulations. AI Communications, Vol. 28, Issue. 3, p. 429.
Centeno, Roberto Hermoso, Ramón and Fasli, Maria 2015. On the inaccuracy of numerical ratings: dealing with biased opinions in social networks. Information Systems Frontiers, Vol. 17, Issue. 4, p. 809.
De Meo, Pasquale Messina, Fabrizio Rosaci, Domenico and Sarné, Giuseppe M. L. 2015. An agent-oriented, trust-aware approach to improve the QoS in dynamic grid federations. Concurrency and Computation: Practice and Experience, Vol. 27, Issue. 17, p. 5411.
Granatyr, Jones Botelho, Vanderson Lessing, Otto Robert Scalabrin, Edson Emílio Barthès, Jean-Paul and Enembreck, Fabrício 2015. Trust and Reputation Models for Multiagent Systems. ACM Computing Surveys, Vol. 48, Issue. 2, p. 1.
Kaplan, Lance Şensoy, Murat Chakraborty, Supriyo and de Mel, Geeth 2015. Partial observable update for subjective logic and its application for trust estimation. Information Fusion, Vol. 26, p. 66.
Kaur, Harjot and Singh Kahlon, Karanjeet 2015. Dynamics of Artificial Agent Societies: A survey and an agent migration perspective. AI Communications, Vol. 28, Issue. 3, p. 511.
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.
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