Abstract
Agent based modeling (ABM) and simulation techniques are now used in a number of domains, ranging from social sciences, ecology or biology to exact sciences like physics. They provide modelers with the ability to understand and reproduce, through virtual experiments, the emergence of nearly any kind of macro-structure or macro-dynamics from the interactions of lower level computer programs called agents. As these agents can be programmed with all the details required and can arbitrarily cover any level of representation, ABM undeniably represents one of the most versatile approaches to understanding complex systems through simulation.
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© 2008 Springer-Verlag Berlin Heidelberg
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Drogoul, A. (2008). Keynote Speech: A Review of the Ontological Status, Computational Foundations and Methodological Processes of Agent-Based Modeling and Simulation Approaches: Open Challenges and Research Perspectives. In: Bui, T.D., Ho, T.V., Ha, Q.T. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2008. Lecture Notes in Computer Science(), vol 5357. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89674-6_1
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DOI: https://doi.org/10.1007/978-3-540-89674-6_1
Publisher Name: Springer, Berlin, Heidelberg
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