Capturing reputation features in multiagent systems through emerging patterns

Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust in other individuals and for being himself reliable to others. Current techniques...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Grandinetti, Walter M., Chesñevar, Carlos Iván
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2005
Materias:
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Capturing Reputation Features
Multiagent systems
Emerging Patterns
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21158
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-21158
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Capturing Reputation Features
Multiagent systems
Emerging Patterns
spellingShingle Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Capturing Reputation Features
Multiagent systems
Emerging Patterns
Grandinetti, Walter M.
Chesñevar, Carlos Iván
Capturing reputation features in multiagent systems through emerging patterns
topic_facet Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Capturing Reputation Features
Multiagent systems
Emerging Patterns
description Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust in other individuals and for being himself reliable to others. Current techniques for computing individual’s reputations are solely based on recent activities, facilitating a variety of possible attacks. Moreover, the amount of trust each agent has for a given context is based just on his or her reputation. In this paper we outline a new way to thwart reputation-based attacks and to detect trends in behavioral patterns based on historical data by means of knowledge discovery techniques, particularly those existing for emerging patterns.
format Objeto de conferencia
Objeto de conferencia
author Grandinetti, Walter M.
Chesñevar, Carlos Iván
author_facet Grandinetti, Walter M.
Chesñevar, Carlos Iván
author_sort Grandinetti, Walter M.
title Capturing reputation features in multiagent systems through emerging patterns
title_short Capturing reputation features in multiagent systems through emerging patterns
title_full Capturing reputation features in multiagent systems through emerging patterns
title_fullStr Capturing reputation features in multiagent systems through emerging patterns
title_full_unstemmed Capturing reputation features in multiagent systems through emerging patterns
title_sort capturing reputation features in multiagent systems through emerging patterns
publishDate 2005
url http://sedici.unlp.edu.ar/handle/10915/21158
work_keys_str_mv AT grandinettiwalterm capturingreputationfeaturesinmultiagentsystemsthroughemergingpatterns
AT chesnevarcarlosivan capturingreputationfeaturesinmultiagentsystemsthroughemergingpatterns
bdutipo_str Repositorios
_version_ 1764820465515233281

Ejemplares similares