Reputation is generally defined as the opinion of a group on an aspect of a thing. This paper presents a reputation model that follows a probabilistic modeling of opinions based on three main concepts: (1) the value of an opinion decays with time, (2) the reputation of the opinion source impacts the reliability of the opinion, and (3) the certainty of the opinion impacts its weight with respect to other opinions. Furthermore, the model is flexible with its opinion sources: it may use explicit opinions or implicit opinions that can be extracted from agent behaviour in domains where explicit opinions are sparse. We illustrate the latter with an approach to extract opinions from behavioral information in the sports domain, focusing on football in particular. One of the uses of a reputation model is predicting behaviour.We take up the challenge of predicting the behavior of football teams in football matches, which we argue is a very interesting yet difficult approach for evaluating the model.

MORE: Merged opinions reputation model / N. Osman, A. Provetti, V. Riggi, C. Sierra (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Multi-Agent Systems / [a cura di] N. Bulling. - [s.l] : Springer Verlag, 2015. - ISBN 9783319171296. - pp. 67-81 (( Intervento presentato al 12. convegno European Conference on Multi-Agent Systems tenutosi a Praha nel 2014 [10.1007/978-3-319-17130-2_5].

MORE: Merged opinions reputation model

A. Provetti;
2015

Abstract

Reputation is generally defined as the opinion of a group on an aspect of a thing. This paper presents a reputation model that follows a probabilistic modeling of opinions based on three main concepts: (1) the value of an opinion decays with time, (2) the reputation of the opinion source impacts the reliability of the opinion, and (3) the certainty of the opinion impacts its weight with respect to other opinions. Furthermore, the model is flexible with its opinion sources: it may use explicit opinions or implicit opinions that can be extracted from agent behaviour in domains where explicit opinions are sparse. We illustrate the latter with an approach to extract opinions from behavioral information in the sports domain, focusing on football in particular. One of the uses of a reputation model is predicting behaviour.We take up the challenge of predicting the behavior of football teams in football matches, which we argue is a very interesting yet difficult approach for evaluating the model.
Trust; Reliability; Reputation
Settore INF/01 - Informatica
2015
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
Osman2015_Chapter_MOREMergedOpinionsReputationMo.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 959.26 kB
Formato Adobe PDF
959.26 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
1503.09066.pdf

accesso aperto

Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 520.44 kB
Formato Adobe PDF
520.44 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/770984
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact