Emergence of Norms in a Society of Heterogeneous Agents Influenced by the Rules of Cellular Automata Techniques

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3

Abstract

This paper deals with study Emergence of Norms in a Society of eterogeneous Agents Influenced by the Rules of Cellular Automata Techniques.To study the phenomenon of emergence of social norms, we have assumed that the interactions between the agents are private, i.e.; not observable to the other agents not involved in the interactions. We onsider a population of agents, where, in each interaction each agent is paired with another agent selected randomly from its neighborhood or rom the population in a nonuniform manner. Each agent is learning concurrently over repeated interactions with selected opponents from the society. An agent learns a policy to play the game from repeated nteractions with multiple agents. We are particularly interested in finding out if the entire population learns to converge to a consistent norm when multiple action combinations yield the same optimal payoff. In addition to this, we also would like to explore the effects of heterogeneous populations where different agents may be using cellular automata techniques.

Authors and Affiliations

P. Chakrabarti , J. K. Basu

Keywords

Related Articles

Security Enhancement Using Mutual Authentication in Existing CDMA Systems

Abstract— Even though CDMA2000 wireless networks are being widely deployed as a cellular digital standard around the world, it has some hidden vulnerabilities concerned with security issues. The existing CDMA systems use...

Classification of Indian Stock Market Data Using Machine Learning Algorithms

Classification of Indian stock market data has always been a ertain appeal for researchers. In this paper, first time ombination of three supervised machine learning algorithms, lassification and regression tree (CART...

A Study on Similarity Computations in Template Matching Technique for Identity Verification

This paper describes a study on the development of a human face verification system by merely using template matching (TM) as the main verification engine. In contrast to common face recognition techniques, our approach...

AN EFFICIENT CLASSIFICATION OF GENOMES BASED ON CLASSES AND SUBCLASSES

The grass family has been the subject of intense research over the past. Reliable and fast classification / sub-classification of large sequences which are rapidly gaining importance due to genome sequencing projects all...

Destination Sequenced – Distance Vector Algorithm 

Mobile Ad Hoc Network (MANET) is an infrastructure where nodes communicate without any central administration. Nodes are connected through wireless channels and can use multiple hops to exchange data. Routing protocols a...

Download PDF file
  • EP ID EP97253
  • DOI -
  • Views 151
  • Downloads 0

How To Cite

P. Chakrabarti, J. K. Basu (2010). Emergence of Norms in a Society of Heterogeneous Agents Influenced by the Rules of Cellular Automata Techniques. International Journal on Computer Science and Engineering, 2(3), 481-486. https://europub.co.uk/articles/-A-97253