Complexities of simulating a hybrid agent-landscape model using multi-formalism composability

Gary R. Mayer, Hessam Sarjoughian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Hybrid agent-landscape models are used as an environment in which to study humans, the environment, and their dynamics. To provide flexibility in model design, expressiveness, and modification, the environment models and human agent models should be developed independently. While retaining each model's individuality, the models can be composed to create a model of a complex, hybrid agent-landscape system. This should allow for a much more in-depth analysis of each model independently, as well as a study of their interactions. To create such a modeling environment requires a look beyond a simple interface between two models. It may require that the models' formalisms be composed, their execution be synchronized, their architectures be integrated, and a common visualization be created to provide a whole-system data view during simulation. This paper discusses the complexities of such an undertaking.

Original languageEnglish (US)
Title of host publicationAgent Directed Simulation Symposium, ADS 2007 - Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007
PublisherAssociation for Computing Machinery, Inc
Number of pages8
ISBN (Electronic)1565553136, 9781565553132
StatePublished - Mar 25 2007
Event2007 Agent Directed Simulation Symposium, ADS 2007 - Norfolk, United States
Duration: Mar 25 2007Mar 29 2007


Other2007 Agent Directed Simulation Symposium, ADS 2007
CountryUnited States


  • Agents
  • Cellular automata
  • Multi-formalism
  • Multi-modeling
  • Poly-formalism

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computational Theory and Mathematics
  • Computer Networks and Communications

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