期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 87, 期 -, 页码 39-48出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2016.10.008
关键词
Adaptation; Heterogeneity; Human behaviour; Learning; Multi-agent systems; ODD plus D; Uncertainty
类别
资金
- German Federal Ministry of Education and Research within Junior Research Group POLISES [BMBF-01LN1315A]
- German Ministry for Education and Research (BMBF) for project Gemeinsam auf dem Weg in die energieeffiziente urbane Moderne - Einrichtung eines akteursorientierten Energiemanagementsystems in Delitzsch [03SF0408A]
- ESCALATE
- German Research Foundation DFG Ecosystem resilience towards climate change - role of interacting buffer mechanisms in Mediterranean-type ecosystems [TI 824/2-1]
Recent reviews stated that the complex and context-dependent nature of human decision-making resulted in ad-hoc representations of human decision in agent-based land use change models (LUCC ABMs) and that these representations are often not explicitly grounded in theory. However, a systematic survey on the characteristics (e.g. uncertainty, adaptation, learning, interactions and heterogeneities of agents) of representing human decision-making in LUCC ABMs is missing. Therefore, the aim of this study is to inform this debate by reviewing 134 LUCC ABM papers. We show that most human decision sub-models are not explicitly based on a specific theory and if so they are mostly based on economic theories, such as the rational actor, and mainly ignoring other relevant disciplines. Consolidating and enlarging the theoretical basis for modelling human decision-making may be achieved by using a structural framework for modellers, re-using published decision models, learning from other disciplines and fostering collaboration with social scientists. (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据