Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97924
Title: A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems
Authors: Chen, Xuefeng
Zeng, Yifeng
Ong, Yew Soon
Ho, Choon Sing
Xiang, Yanping
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2013
Source: Chen, X., Zeng, Y., Ong, Y.-S., Ho, C. S., & Xiang, Y. (2013). A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems. 2013 IEEE Congress on Evolutionary Computation, 1635 - 1642.
Abstract: Memetic multi agent system emerges as an enhanced version of multiagent systems with the implementation of meme-inspired computational agents. It aims to evolve human-like behavior of multiple agents by exploiting the Dawkins' notion of a meme and Universal Darwinism. Previous research has developed a computational framework in which a series of memetic operations have been designed for implementing humanlike agents. This paper will focus on improving the human-like behavior of multiple agents when they are engaged in social interactions. The improvement is mainly on how an agent shall learn from others and adapt its behavior in a complex dynamic environment. In particular, we design a new mechanism that supervises how the agent shall select one of the other agents for the learning purpose. The selection is a trade-off between the elitist and like-attracts-like principles. We demonstrate the desirable interactions of multiple agents in two problem domains.
URI: https://hdl.handle.net/10356/97924
http://hdl.handle.net/10220/18115
DOI: http://dx.doi.org/10.1109/CEC.2013.6557757
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.