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Repage: REPutation and ImAGE Among Limited Autonomous Partners

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Abstract

This paper introduces Repage, a computational system that adopts a cognitive theory of reputation. We propose a fundamental difference between image and reputation, which suggests a way out from the paradox of sociality, i.e. the trade-off between agents' autonomy and their need to adapt to social environment. On one hand, agents are autonomous if they select partners based on their social evaluations (images). On the other, they need to update evaluations by taking into account others'. Hence, social evaluations must circulate and be represented as "reported evaluations" (reputation), before and in order for agents to decide whether to accept them or not. To represent this level of cognitive detail in artificial agents' design, there is a need for a specialised subsystem, which we are in the course of developing for the public domain. In the paper, after a short presentation of the cognitive theory of reputation and its motivations, we describe the implementation of Repage.

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  • Jordi Sabater-Mir & Mario Paolucci & Rosaria Conte, 2006. "Repage: REPutation and ImAGE Among Limited Autonomous Partners," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(2), pages 1-3.
  • Handle: RePEc:jas:jasssj:2005-17-3
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    1. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
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    3. Dellarocas, Chrysanthos, 2003. "Efficiency and Robustness of Binary Feedback Mechanisms in Trading Environments with Moral Hazard," Working papers 4297-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Luis Cabral & Ali Hortacsu, 2004. "The Dynamics of Seller Reputation: Theory and Evidence from eBay," NBER Working Papers 10363, National Bureau of Economic Research, Inc.
    5. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    6. M.A. Nowak & K. Sigmund, 1998. "Evolution of Indirect Reciprocity by Image Scoring/ The Dynamics of Indirect Reciprocity," Working Papers ir98040, International Institute for Applied Systems Analysis.
    7. Gary Bolton & Elena Katok & Axel Ockenfels, 2002. "How Effective are Online Reputation Mechanisms?," Papers on Strategic Interaction 2002-25, Max Planck Institute of Economics, Strategic Interaction Group.
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    Cited by:

    1. Luis R. Izquierdo & Doina Olaru & Segismundo S. Izquierdo & Sharon Purchase & Geoffrey N. Soutar, 2015. "Fuzzy Logic for Social Simulation Using NetLogo," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-1.
    2. Luis G. Nardin & Anarosa A. F. Brandão & Elisabeti Kira & Jaime S. Sichman, 2014. "Effects of reputation communication expressiveness in virtual societies," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 113-132, June.
    3. Mario Paolucci & Jaime Simão Sichman, 2014. "Reputation to understand society," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 211-217, June.
    4. Karin Hansson & Petter Karlström & Aron Larsson & Harko Verhagen, 2014. "Reputation, inequality and meeting techniques: visualising user hierarchy to support collaboration," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 155-175, June.
    5. Westhoff, Joachim, 2008. "Grid computing in small and medium-sized enterprises: An exploratory study of corporate attitudes towards economic and security-related issues," Bayreuth Reports on Information Systems Management 32, University of Bayreuth, Chair of Information Systems Management.
    6. Yutaka NAKAI & Masayoshi Muto, 2008. "Emergence and Collapse of Peace with Friend Selection Strategies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-6.
    7. Juan Pablo Soto & Aurora Vizcaíno & Mario Piattini, 2017. "Fostering Knowledge Reuse in Communities of Practice by Using a Trust Model and Agents," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1409-1439, September.

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    Keywords

    Reputation; Agent Systems; Cognitive Design; Fuzzy Evaluation;
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