Trust Alignment: A Sine Qua Non of Open Multi-agent Systems

In open multi-agent systems trust is necessary to improve cooperation by enabling agents to choose good partners. Most trust models work by taking, in addition to direct experiences, other agents' communicated evaluations into account. However, in an open multi-agent system other agents may use different trust models and as such the evaluations they communicate are based on different principles. This article shows that trust alignment is a crucial tool in this communication. Furthermore we show that trust alignment improves significantly if the description of the evidence, upon which a trust evaluation is based, is taken into account.

[1]  Jordi Sabater-Mir,et al.  Engineering trust alignment: theory and practice CSIC-IIIA Technical Report: TR-IIIA-2010-02 , 2010 .

[2]  Mario Paolucci,et al.  Reputation in Artificial Societies , 2002, Multiagent Systems, Artificial Societies, and Simulated Organizations.

[3]  Luc De Raedt,et al.  Top-Down Induction of Clustering Trees , 1998, ICML.

[4]  J. van Leeuwen,et al.  Engineering Societies in the Agents World II , 2001, Lecture Notes in Computer Science.

[5]  Laurent Vercouter,et al.  Exchanging reputation values among heterogeneous agent reputation models: an experience on ART testbed , 2007, AAMAS '07.

[6]  Jordi Sabater-Mir,et al.  Trust in Agent Societies, 11th International Workshop, TRUST 2008, Estoril, Portugal, May 12-13, 2008. Revised Selected and Invited Papers , 2008, AAMAS-TRUST.

[7]  Munindar P. Singh,et al.  An evidential model of distributed reputation management , 2002, AAMAS '02.

[8]  Jordi Sabater-Mir,et al.  Engineering Trust Alignment: a First Approach , 2010 .

[9]  Jie Zhang,et al.  POYRAZ: CONTEXT‐AWARE SERVICE SELECTION UNDER DECEPTION , 2009, Comput. Intell..

[10]  Bart Demoen,et al.  Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs , 2011, J. Artif. Intell. Res..

[11]  Hendrik Blockeel,et al.  A Comparison between Neural Network Methods for Learning Aggregate Functions , 2008, Discovery Science.

[12]  Nir Friedman,et al.  Bayesian Network Classifiers , 1997, Machine Learning.

[13]  Pascal Poupart,et al.  Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change , 2006, AAAI.

[14]  Stephen Hailes,et al.  Supporting trust in virtual communities , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[15]  Gregory W. Corder,et al.  Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach , 2009 .

[16]  Luc De Raedt,et al.  Logical and Relational Learning: From ILP to MRDM (Cognitive Technologies) , 2008 .

[17]  Audun Jøsang,et al.  AIS Electronic Library (AISeL) , 2017 .

[18]  Andrew Koster,et al.  Why does trust need aligning , 2010 .

[19]  Nicholas R. Jennings,et al.  TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources , 2006, Autonomous Agents and Multi-Agent Systems.

[20]  Jaime Simão Sichman,et al.  Towards a functional ontology of reputation , 2005, AAMAS '05.

[21]  Jaime Simão Sichman,et al.  Effects of expressiveness and heterogeneity of reputation models in the ART testbed : Some preliminary experiments using the SOARI architecture , 2009 .

[22]  Rino Falcone,et al.  Trust Theory: A Socio-Cognitive and Computational Model , 2010 .

[23]  Laurent Vercouter,et al.  The Agent Reputation and Trust (ART) Testbed , 2006, iTrust.

[24]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[25]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[26]  Taghi M. Khoshgoftaar,et al.  A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..

[27]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[28]  Fausto Giunchiglia,et al.  Liquid Publications: Scientific Publications meet the Web , 2007 .

[29]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[30]  Jordi Sabater-Mir,et al.  Arguing about Reputation: The LRep Language , 2008, ESAW.

[31]  Jens Witkowski,et al.  Truthful Feedback for Sanctioning Reputation Mechanisms , 2010, UAI.

[32]  Luc De Raedt Logical and Relational Learning , 2008, SBIA.

[33]  J. Euzenat,et al.  Ontology Matching , 2007, Springer Berlin Heidelberg.

[34]  Yannis Kalfoglou,et al.  A Formal Foundation for Ontology-Alignment Interaction Models , 2007, Int. J. Semantic Web Inf. Syst..

[35]  Jordi Sabater-Mir,et al.  An Argumentation-Based Dialog for Social Evaluations Exchange , 2010, ECAI.