Using cognitive agents in social simulations

被引：28

作者：

Caballero, Alberto ^{[1
,2
]}

Botia, Juan ^{[1
]}

Gomez-Skarmeta, Antonio ^{[1
]}

机构：

[1] Univ Murcia, Dept Ingn Informac & Comunicac, Fac Informat, E-30100 Murcia, Spain

[2] Univ Catolica San Antonio, Dept Ingn Informat, Escuela Super Politecn, Murcia 30107, Spain

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2011年 / 24卷 / 07期

关键词：

Multiagent-based simulation; Social simulation; Cognitive modelling; Ambient intelligence; Simulation environments; MASON;

D O I：

10.1016/j.engappai.2011.06.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multi-Agent-Based Social Simulation (MABS) is a paradigm devoted to using agents as the modelling metaphor to simulate autonomous entities in a social world composed of a number of independent and interacting entities. Such models try to reproduce real environments and situations of interest within such environments. Most MABS platforms used today (e.g. MASON, Repast, NetLogo) see agents as very simple entities. However, there are situations in which a more intelligent kind of agent is needed. For example, when a society of persons with different roles and high-level behaviours must be modelled. In this paper, we address how to incorporate agents with cognitive skills into MABS. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1098 / 1109

页数：12

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