Back to Search
Start Over
Dynamics of Relative Agreement in Multiple Social Contexts
- Source :
- Progress in Artificial Intelligence ISBN: 9783642406683, EPIA, Progress in Artificial Intelligence, 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), Sep 2013, Acores, Portugal. pp.457-467
- Publication Year :
- 2013
- Publisher :
- Springer, 2013.
-
Abstract
- National audience; In real world scenarios, the formation of consensus is an self-organisation process by which actors have to make a joint assessment about a target subject being it a decision making problem or the formation of a collective opinion. In social simulation, models of opinion dynamics tackle the opinion formation phenomena. These models try to make an assessment, for instance, of the ideal conditions that lead an interacting group of agents to opinion consensus, polarisation or fragmentation. In this paper, we investigate the role of social relation structure in opinion dynamics using an interaction model of relative agreement. We present an agent-based model that defines social relations as multiple concomitant social networks and apply our model to an opinion dynamics model with bounded confidence. We discuss the influence of complex social network topologies where actors interact in multiple relations simultaneously. The paper builds on previous work about social space design with multiple contexts and context switching, to determine the influence of such complex social structures in a process such as opinion formation.
- Subjects :
- Consensus
Computer science
Process (engineering)
Relative agreement
Social contexts
01 natural sciences
Social networks
050105 experimental psychology
Ideal (ethics)
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
010305 fluids & plasmas
Social space
0103 physical sciences
0501 psychology and cognitive sciences
H- INFORMATIQUE
Opinion dynamics
Social simulation
Structure (mathematical logic)
Social network
business.industry
05 social sciences
Intelligence artificielle
16. Peace & justice
Data science
Social relation
Artificial intelligence
Bounded confidence
business
Social structure
Subjects
Details
- Language :
- French
- ISBN :
- 978-3-642-40668-3
- ISBNs :
- 9783642406683
- Database :
- OpenAIRE
- Journal :
- Progress in Artificial Intelligence ISBN: 9783642406683, EPIA, Progress in Artificial Intelligence, 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), Sep 2013, Acores, Portugal. pp.457-467
- Accession number :
- edsair.doi.dedup.....f78bcee1756e0033c7d70c2eb5775832