Distributed opinion dynamics with heterogeneous reputation. (1st January 2013)
- Record Type:
- Journal Article
- Title:
- Distributed opinion dynamics with heterogeneous reputation. (1st January 2013)
- Main Title:
- Distributed opinion dynamics with heterogeneous reputation
- Authors:
- Miciolino, Estefanía Etchevés
Oliva, Gabriele
Setola, Roberto - Abstract:
- The Hegelsmann-Krause Opinion Dynamics model provides a description of the social behaviour of humans among which a decision making process is taking place. In contrast to simpler agreement models, the opinions are not granted to converge to a single value, but may eventually split. Within such a framework, each agent is influenced by the others provided that the difference in their opinion does not exceed a threshold, which is common to all the agents. In this paper, we introduce an extension where each agent is associated with a different threshold value representing the reliability of the information carried by the agent. Moreover, we consider an additional topological constraint in order to take into account also geographical proximity, and the result is a distributed data aggregation and decision making algorithm.
- Is Part Of:
- International journal of system of systems engineering. Volume 4:Number 3/4(2013)
- Journal:
- International journal of system of systems engineering
- Issue:
- Volume 4:Number 3/4(2013)
- Issue Display:
- Volume 4, Issue 3/4 (2013)
- Year:
- 2013
- Volume:
- 4
- Issue:
- 3/4
- Issue Sort Value:
- 2013-0004-NaN-0000
- Page Start:
- 277
- Page End:
- 290
- Publication Date:
- 2013-01-01
- Subjects:
- distributed systems -- opinion dynamics -- situation awareness
003.71 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijsse#issue ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1748-0671
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8906.xml