Multi-agent systems for the simulation of land-use and land-cover change: A review

Dawn C. Parker, Steven M. Manson, Marco A. Janssen, Matthew J. Hoffmann, Peter Deadman

Research output: Contribution to journalReview article

1164 Scopus citations

Abstract

This article presents an overview of multi-agent system models of land-use/cover change (MAS/LUCC models). This special class of LUCC models combines a cellular landscape model with agent-based representations of decision making, integrating the two components through specification of interdependencies and feedbacks between agents and their environment. The authors review alternative LUCC modeling techniques and discuss the ways in which MAS/LUCC models may overcome some important limitations of existing techniques. We briefly review ongoing MAS/LUCC modeling efforts in four research areas. We discuss the potential strengths of MAS/LUCC models and suggest that these strengths guide researchers in assessing the appropriate choice of model for their particular research question. We find that MAS/LUCC models are particularly well suited for representing complex spatial interactions under heterogeneous conditions and for modeling decentralized, autonomous decision making. We discuss a range of possible roles for MAS/LUCC models, from abstract models designed to derive stylized hypotheses to empirically detailed simulation models appropriate for scenario and policy analysis. We also discuss the challenge of validation and verification for MAS/LUCC models. Finally, we outline important challenges and open research questions in this new field. We conclude that, while significant challenges exist, these models offer a promising new tool for researchers whose goal is to create fine-scale models of LUCC phenomena that focus on humanenvironment interactions.

Original languageEnglish (US)
Pages (from-to)314-337
Number of pages24
JournalAnnals of the Association of American Geographers
Volume93
Issue number2
DOIs
StatePublished - Jun 1 2003
Externally publishedYes

Keywords

  • Agent-based modeling
  • Cellular automata
  • Complexity theory
  • Land-use and land-cover change
  • Multi-agent systems

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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