Further towards a taxonomy of agent-based simulation models in environmental management
M. Hare,Peter Deadman +1 more
Reads0
Chats0
TLDR
This paper is intended to provide an overview of agent-based simulation in environmental modelling so that modellers can link their requirements to the current state of the art in the techniques that are currently used to satisfy them.About:
This article is published in Mathematics and Computers in Simulation.The article was published on 2004-01-05 and is currently open access. It has received 224 citations till now. The article focuses on the topics: Multi-agent system & Artificial life.read more
Citations
More filters
Journal ArticleDOI
Agent-based land-use models: a review of applications
TL;DR: It is concluded that in terms of decision support, agent-based land-use models are probably more useful as research tools to develop an underlying knowledge base which can then be developed together with end-users into simple rules-of-thumb, rather than as operational decision support tools.
Journal ArticleDOI
Selecting among five common modelling approaches for integrated environmental assessment and management
R. A. Kelly,Anthony Jakeman,Olivier Barreteau,Mark E. Borsuk,Sondoss Elsawah,Serena H. Hamilton,Hans Jørgen Henriksen,Sakari Kuikka,Holger R. Maier,Andrea Emilio Rizzoli,Hedwig van Delden,Alexey Voinov +11 more
TL;DR: A guiding framework is presented that aims to assist modellers and model users in the choice of an appropriate modelling approach for their integrated assessment applications and that enables more effective learning in interdisciplinary settings.
Journal ArticleDOI
Modeling human decisions in coupled human and natural systems: Review of agent-based models
TL;DR: This paper concludes by advocating development of more process-based decision models as well as protocols or architectures that facilitate better modeling of human decisions in various CHANS.
Journal ArticleDOI
Processes of social learning in integrated resources management
Claudia Pahl-Wostl,M. Hare +1 more
TL;DR: The HarmoniCOP project developed a framework for social learning for resources management that can be interpreted as combining content management as well as social involvement processes to achieve both technical and relational outcomes.
Journal ArticleDOI
Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol
Birgit Müller,Friedrich J. Bohn,Gunnar Dreíler,Jürgen Groeneveld,Christian Klassert,Romina Martin,Maja Schlüter,Jule Schulze,Hanna Weise,Nina Schwarz +9 more
TL;DR: The ODD + D protocol may prove helpful for describing ABMs in general when human decisions are included and incorporates a section on 'Theoretical and Empirical Background' to encourage model designs and model assumptions that are more closely related to theory.
References
More filters
Journal ArticleDOI
Intelligent Agents: Theory and Practice
TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Book
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
TL;DR: Jacques Ferber's authoritative book is the first to provide a single, coherent overview of multi-agent systems, and introduces and defines key concepts throughout the text.
Book ChapterDOI
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
Stan Franklin,Arthur C. Graesser +1 more
TL;DR: This work proposes a formal definition of an autonomous agent which clearly distinguishes a software agent from just any program, and offers the beginnings of a natural kinds taxonomy of autonomous agents.
Book
Simulation for the Social Scientist
Nigel Gilbert,Klaus G. Troitzsch +1 more
TL;DR: Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science, and it will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.
Book
Growing Artificial Societies: Social Science from the Bottom Up
TL;DR: Artificial Society as discussed by the authors models life and death on the sugarcane, sex, culture and conflict, the emergence of history sugar and spice -trade comes to the sugarscane disease agents a society is born artificial societies versus traditional models artificial society versus a life toward generative social science - can you grow it?.
Related Papers (5)
Agent‐based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis
A standard protocol for describing individual-based and agent-based models
Volker Grimm,Uta Berger,Finn Bastiansen,Sigrunn Eliassen,Vincent Ginot,Jarl Giske,John D. Goss-Custard,Tamara C. Grand,Simone K. Heinz,Geir Huse,Andreas Huth,Jane Uhd Jepsen,Christian Jorgensen,Wolf M. Mooij,Birgit Müller,Guy Pe'er,Cyril Piou,Steven F. Railsback,Andrew M. Robbins,Martha M. Robbins,Eva Rossmanith,Nadja Rüger,Espen Strand,Sami Souissi,Richard A. Stillman,Rune Vabø,Ute Visser,Donald L. DeAngelis +27 more