Welcome to the InfoSci Platform
Norm Emergence with Biased Agents

Norm Emergence with Biased Agents

Partha Mukherjee, Sandip Sen, Stéphane Airiau
Copyright: © 2011 |Pages: 12
ISBN13: 9781609601713|ISBN10: 1609601718|EISBN13: 9781609601737
DOI: 10.4018/978-1-60960-171-3.ch011
Cite Chapter Cite Chapter

MLA

Mukherjee, Partha, et al. "Norm Emergence with Biased Agents." Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, edited by Goran Trajkovski, IGI Global, 2011, pp. 168-179. https://doi.org/10.4018/978-1-60960-171-3.ch011

APA

Mukherjee, P., Sen, S., & Airiau, S. (2011). Norm Emergence with Biased Agents. In G. Trajkovski (Ed.), Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications (pp. 168-179). IGI Global. https://doi.org/10.4018/978-1-60960-171-3.ch011

Chicago

Mukherjee, Partha, Sandip Sen, and Stéphane Airiau. "Norm Emergence with Biased Agents." In Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, edited by Goran Trajkovski, 168-179. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-171-3.ch011

Export Reference

Mendeley
Favorite

Abstract

Effective norms can significantly enhance performance of individual agents and agent societies. We consider individual agents that repeatedly interact over instances of a given scenario. Each interaction is framed as a stage game where multiple action combinations yield the same optimal payoff. An agent learns to play the game over repeated interactions with multiple, unknown, agents. The key research question is to find out whether a consistent norm emerges when all agents are learning at the same time. In real-life, agents may have pre-formed biases or preferences which may hinder or even preclude norm emergence. We study the success and speed of norm emergence when different subsets of the population have different initial biases. In particular we characterize the relative speed of norm emergence under varying biases and the success of majority/minority groups in enforcing their biases on the rest of the population given different bias strengths.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.