Structured Memetic Automation for Online Human-Like Social Behavior Learning

Zeng, Yifeng, Chen, Xuefeng, Ong, Yew-Soon, Tang, Jing and Xiang, Yanping (2017) Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Transactions on Evolutionary Computation, 21 (1). pp. 102-115. ISSN 1089-778X

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Meme automaton is an adaptive entity that autonomously acquires an increasing level of capability and intelligence through embedded memes evolving independently or via social interactions. This paper begins a study on memetic multiagent system (MeMAS) toward human-like social agents with memetic automaton. We introduce a potentially rich meme-inspired design and operational model, with Darwin's theory of natural selection and Dawkins' notion of a meme as the principal driving forces behind interactions among agents, whereby memes form the fundamental building blocks of the agents' mind universe. To improve the efficiency and scalability of MeMAS, we propose memetic agents with structured memes in this paper. Particularly, we focus on meme selection design where the commonly used elitist strategy is further improved by assimilating the notion of like-attracts-like in the human learning. We conduct experimental study on multiple problem domains and show the performance of the proposed MeMAS on human-like social behavior.

Item Type: Article
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
G700 Artificial Intelligence
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: Rachel Branson
Date Deposited: 07 Jul 2020 14:46
Last Modified: 31 Jul 2021 13:15

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