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About Multi Level Agent Based Modeling
This document provides a literature survey of multi-level agent-based modeling (ML-ABM). It defines ML-ABM as integrating heterogeneous agent-based models that represent complementary levels or points of view of the same system. The models can interact and share entities. ML-ABM is used to model cross-level interactions, couple heterogeneous models, and dynamically adapt the level of detail in simulations. It aims to overcome limitations of classical agent-based modeling like its purely bottom-up nature and difficulty representing emergent phenomena. The survey reviews theoretical issues in ML-ABM and applications in social, flow, biological, and ecological modeling.
Detailed Information
| Author: | ['Diego Urrutia Olaechea'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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