TY - GEN
T1 - Complexities of simulating a hybrid agent-landscape model using multi-formalism composability
AU - Mayer, Gary R.
AU - Sarjoughian, Hessam
N1 - Funding Information:
This research is supported by National Science Foundation Grant #BCS-0140269. We thank the MEDLAND team members including Eowyn Allen, Ramón Arrowsmith, Steven Falconer, Patricia Fall, Helena Mitasova and, in particular, Michael Barton and Isaac Ullah for their support with GRASS.
PY - 2007/3/25
Y1 - 2007/3/25
N2 - 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.
AB - 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.
KW - Agents
KW - Cellular automata
KW - Multi-formalism
KW - Multi-modeling
KW - Poly-formalism
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M3 - Conference contribution
AN - SCOPUS:85014305733
T3 - Agent Directed Simulation Symposium, ADS 2007 - Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007
SP - 161
EP - 168
BT - Agent Directed Simulation Symposium, ADS 2007 - Proceedings of the 2007 Spring Simulation Multiconference, SpringSim 2007
PB - Association for Computing Machinery, Inc
T2 - 2007 Agent Directed Simulation Symposium, ADS 2007
Y2 - 25 March 2007 through 29 March 2007
ER -