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dc.contributor.authorSavarimuthu, Sharmilaen_NZ
dc.contributor.authorPurvis, Martinen_NZ
dc.contributor.authorPurvis, Maryam A.en_NZ
dc.date.available2011-04-07T03:05:26Z
dc.date.copyright2009-02en_NZ
dc.identifier.citationSavarimuthu, S., Purvis, M., & Purvis, M. A. (2009). Tag based model for knowledge sharing in agent society (Information Science Discussion Papers Series No. 2009/01). University of Otago. Retrieved from http://hdl.handle.net/10523/890en
dc.identifier.urihttp://hdl.handle.net/10523/890
dc.description.abstractIn this paper we discuss a tag-based model that facilitates knowledge sharing in the context of agents playing the knowledge sharing game. Sharing the knowledge incurs a cost for the sharing agent, and thus non-sharing is the preferred option for selfish agents. Through agent-based simulations we show that knowledge sharing is possible even in the presence of non-sharing agents in the population. We also show that the performance of an agent society can be better when some agents bear the cost of sharing instead of the whole group sharing the cost.en_NZ
dc.format.mimetypeapplication/pdf
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Seriesen_NZ
dc.subjectcooperationen_NZ
dc.subjecttagsen_NZ
dc.subjectknowledge sharingen_NZ
dc.subjectmulti-agent based simulationen_NZ
dc.subjectartificial societyen_NZ
dc.subjectAltruismen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleTag based model for knowledge sharing in agent societyen_NZ
dc.typeDiscussion Paperen_NZ
dc.description.versionUnpublisheden_NZ
otago.bitstream.pages10en_NZ
otago.date.accession2009-02-17 23:38:14en_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.place.publicationDunedin, New Zealanden_NZ
dc.identifier.eprints794en_NZ
otago.school.eprintsSoftware Engineering & Collaborative Modelling Laboratoryen_NZ
otago.school.eprintsInformation Scienceen_NZ
dc.description.references[1] Holland, J.H.: The Effect of Labels (Tags) on Social interactions. Vol. SFI Working Paper 93-10-064, Santa Fe Institute, Santa Fe, NM (1993) [2] YouTube, www.youtube.com [3] CiteSeer, http://citeseer.ist.psu.edu [4] Riolo, R.L., M.D. Cohen, and R. Axelrod.: Cooperation without Reciprocity. Nature 414, 2001: pp. 441--443 (2001). [5] Hales, D.: Evolving Specialisation, Altruism and Group-Level Optimisation Using Tags. Multi-Agent-Based Simulation II: Third International Workshop, MABS 2002, Bologna, Italy, July 15-16, 2002, Vol. 2581, Lecture notes in computer science, pp. 26--35, Springer Berlin / Heidelberg (2003) [6] Hales, D.: Tag Based Co-operation in Artificial Societies. Ph.D. Thesis, Department of Computer Science, University of Essex, UK, 2001. [7] Folksonomy , http://en.wikipedia.org/wiki/Folksonomy [8] Riolo, R.L.: The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated Prisoner's Dilemma. 1997, Santa Fe Institute. [9] Nowak, M.A. and K. Sigmund.: Evolution of indirect reciprocity by image scoring, Nature vol. 393, pp. 573--577 (1998) [10] Trivers, R: The Evolution of Reciprocal Altruism, Quarterly Review of Biology 46 pp.35-57 (1971) [11] Hamilton, W. D.: The genetical evolution of social behaviour. I, Journal of Theoretical Biology, 1964 Jul; 7(1):1-16. [12] Savarimuthu, S., Purvis, M. A., Purvis, M. K., “Altruistic Sharing using Tags”, Proceedings of the 6th International Workshop on Agents and Peer-to-Peer Computing, Estoril, Portugal, May 2008 (in press). [13] Németh, A. and K. Takács.: The Evolution of Proximity Based Altruism, Department of Sociology and Social Policy, 2006, Corvinus University of Budapest, Budapest. [14] Clutten-Brock, T. H., and Parker, G. A.: Punishment in animal societies. Nature 373 (1995), 209 – 216. [15] Savarimuthu, S., Purvis, M. A., Purvis, M. K., “Emergence of Sharing Behavior in a Multi-agent Society using Tags”, Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, Australia, December 2008 (in press).en_NZ
otago.relation.number2009/01en_NZ
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