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Contrasting a System Dynamics Model and an Agent-Based Model of Food Web Evolution

  • Emma Norling
Conference paper
  • 624 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4442)

Abstract

An agent-based model of food web evolution is presented and contrasted with a particular system dynamics model. Both models examine the effects of speciation and species invasion of food webs, but the agent-based approach focuses on the interactions between individuals in the food web, whereas the system dynamics approach focuses on the overall system dynamics. The system dynamics model is an abstract model of species co-evolution that shows similar characteristics to many natural food webs. The agent-based model attempts to model a similarly abstract food web (in which species are characterised by abstract features that determine how they will fare against any other species). The ultimate aim of this exercise is to explore the many of the assumptions inherent in the system dynamics model; the current challenge is to simply replicate the system dynamics results using agent-based modelling. Preliminary studies have revealed some underlying assumptions in the system dynamics model, as well as some intrinsic difficulties in linking the two different approaches. The paper discusses the key difficulties in linking these different types of models, and presents some discussion of the limits and benefits benefits that each approach may bring to the analysis of the problem.

Keywords

System Dynamic Model System Dynamic Approach Benign Environment Rock Lake Evolutionary Time Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Emma Norling
    • 1
  1. 1.Centre for Policy Modelling, Manchester Metropolitan University 

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