The Use of Robust and Efficient Methodologies in Agent-Based Modeling: Case Studies Using Repeated Measures and Behavioral Components in the MABEL Simulation Model

  • Alexandridis K
  • Pijanowski B
  • Lei Z
DOI: 2005
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Abstract

In recent years, the modeling of realistic relationships by agent-based models (ABMs) has been gaining significant ground because of the ability of ABMs to overcome the generalizations and statistical moment assumptions of traditional modeling approaches. ABMs follow a bottom-up approach to modeling, allowing issues of scale, time, and space to be taken into account simultaneously. This paper uses case studies as examples to demonstrate these significant properties in an ABM environment that also incorporates and utilizes traditional statistical assumptions and properties at an individual agent level. In this way, the design of individual agents can be used to more accurately represent existing real-world relationships and reduce the level of uncertainty in predicting individual and collective agent behaviors for sustainable futures. Specific case studies from the Multi Agent-based Behavioral Economic Landscape (MABEL) model are used to illustrate the usefulness of the proposed methods for studying land use change, natural resource management, efficiency, and environmental-specific considerations that affect the decision-making capabilities of the agents. These methods are designed with the end user and decision maker in mind, so that robust and efficient outcomes can be backpropagated to the model in ways that enhance the adaptivity and veridicality of our experiments.

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Alexandridis, K., Pijanowski, B. C., & Lei, Z. (2005). The Use of Robust and Efficient Methodologies in Agent-Based Modeling: Case Studies Using Repeated Measures and Behavioral Components in the MABEL Simulation Model. In Agent 2004 Conference on: Social Dynamics, Interaction, Reflexivity, and Emergence (pp. 127–158). Gleacher Center, Chicago IL, October 7-9, 2004: Argonne National Laboratory and The University of Chicago. https://doi.org/2005

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