简单(哲学)
接吻(TNC)
多样性(控制论)
计算机科学
计算社会学
管理科学
基于Agent的社会模拟
社会复杂性
认知科学
认知
数据科学
认识论
人工智能
心理学
社会学
多智能体系统
社会科学
工程类
计算机网络
哲学
神经科学
作者
Carole Adam,Benoît Gaudou
标识
DOI:10.1017/s0269888916000096
摘要
Abstract Modelling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: ‘Keep It Simple, Stupid’. But the community is divided and a new principle appeared: KIDS, ‘Keep It Descriptive, Stupid’. Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as belief, desire and intention (BDI) agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them.
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