Repage: REPutation and ImAGE Among Limited Autonomous Partners
Jordi Sabater-Mir (),
Mario Paolucci () and
Rosaria Conte ()
Additional contact information
Jordi Sabater-Mir: http://www.iiia.csic.es/~jsabater
Mario Paolucci: http://labss.istc.cnr.it/mario-paolucci
Rosaria Conte: http://www.istc.cnr.it/createhtml.php?nbr=70
Journal of Artificial Societies and Social Simulation, 2006, vol. 9, issue 2, pages 3
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.
Keywords: Reputation; Agent Systems; Cognitive Design; Fuzzy Evaluation (search for similar items in EconPapers)
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:jas:jasssj:2005-17-3
Access Statistics for this article
More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Series data maintained by Nigel Gilbert ().