Modeling Tipping Point Theory Using Normative Multi-Agent Systems

Keywords

Networked agent societies; Norms; Tipping point theory

Abstract

Tipping points occur when a large number of group members radically modify their behaviors in response to small but significant events; after a critical point is reached, the behavior of the entire social system changes irrevocably. This paper proposes that normative multi-agent systems (NorMAS) can serve as excellent computational models for modeling and predicting tipping points. We illustrate how tipping point theory can be modeled with a standard social learning approach and replicate some of the key findings.

Publication Date

1-1-2015

Publication Title

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volume

3

Number of Pages

1731-1732

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84944705450 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84944705450

This document is currently not available here.

Share

COinS