Abstract
The basic prerequisite for methodological advance in Multi-Agent Based Modelling and Simulation is a clear, ideally formally-grounded, concept of our subject. A commonly accepted, implementation-independent meta-model may improve the status of MABS as a scientific field providing a solid foundation that can be used for describing, comparing, analysing, and understanding MABS models. In this contribution, we present an attempt formalizing a general view of MABS models by defining the AMASON meta-model that captures the basic structure and dynamics of a MABS model. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Klügl, F., & Davidsson, P. (2013). AMASON: Abstract meta-model for agent-based simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8076 LNAI, pp. 101–114). Springer Verlag. https://doi.org/10.1007/978-3-642-40776-5_11
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