The complex facets of reputation and trust

Karl Aberer, Zoran Despotovic, Wojciech Galuba, Wolfgang Kellerer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


Trust and reputation systems have proven to be essential to enforcing cooperative behavior in peer-to-peer networks. We briefly describe the current approaches to building reputation systems: social networks formation, probabilistic estimation, and game theoretic models. We then observe that all of the current models make a number of simplifying assumptions that may not necessarily hold in real networks, such as either irrational (probabilistic) or completely rational behavior, instant propagation of reputation information and homogeneity of interactions. We argue that dropping those assumptions and allowing more degrees of freedom is necessary in order to construct more realistic and richer reputation models. We support our argument by citing reputation research done in economics, evolutionary psychology, biology, and sociology, and consider models that take into account adaptive behavior changes, co-evolution of behaviors, bounded rationality, and variable interaction patterns. We then outline how those complexities can be dealt with and point out main directions for the future study of more realistic and less constrained reputation models that can potentially lead to construction of more secure, responsive, and cooperative peer-to-peer systems.

Original languageEnglish
Title of host publicationComputational Intelligence, Theory and Applications
Subtitle of host publicationInternational Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings
EditorsBernd Reusch
Number of pages14
StatePublished - 2006

Publication series

NameAdvances in Soft Computing
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794


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