Towards integrated intentional agent simulation and semantic geodata management in complex urban systems modeling. Baier, K., Mataré, V., Liebenberg, M., & Lakemeyer, G. Computers, Environment and Urban Systems, Elsevier, 2015. Paper doi abstract bibtex Mega-urbanization presents researchers with a network of densely interwoven problems that elude disciplinary boundaries. We report on the development of a spatial knowledge management and agent simulation framework that is designed to integrate closely with the process of trans-disciplinary research into the dynamics of complex human-environment systems. We argue that our choice of knowledge representation languages facilitates cross-domain collaboration. In a runthrough application example, we show how standardized knowledge engineering technologies are used to turn a conventional geodatabase into a self-documenting knowledge base that can flexibly interface with modern open-data infrastructures. The resulting cross-domain world model is then coupled to a graphical actor modeling language that specializes in the formulation of behavioral theories in terms of social roles, intentions, tasks, conditions and interaction. Finally, we describe how system theories expressed in this way are automatically translated into computer simulations.
@article {LiebenbergMegaurbanization15,
title = {Towards integrated intentional agent simulation and semantic geodata management in complex urban systems modeling},
journal = {Computers, Environment and Urban Systems},
volume = {51},
year = {2015},
publisher = {Elsevier},
chapter = {47},
doi = {10.1016/j.compenvurbsys.2015.01.006},
url_Paper = {https://kbsg.rwth-aachen.de/sites/kbsg/files/CEUS2015.pdf},
author = {Klaus Baier and Victor Matar{\'e} and Martin Liebenberg and Gerhard Lakemeyer},
abstract = {Mega-urbanization presents researchers with
a network of densely interwoven problems that elude
disciplinary boundaries. We report on the development
of a spatial knowledge management and agent simulation
framework that is designed to integrate closely with
the process of trans-disciplinary research into the dynamics
of complex human-environment systems. We argue that our
choice of knowledge representation languages facilitates
cross-domain collaboration. In a runthrough application
example, we show how standardized knowledge engineering
technologies are used to turn a conventional geodatabase
into a self-documenting knowledge base that can flexibly
interface with modern open-data infrastructures.
The resulting cross-domain world model is then coupled
to a graphical actor modeling language that specializes
in the formulation of behavioral theories in terms of
social roles, intentions, tasks, conditions and interaction.
Finally, we describe how system theories expressed in this
way are automatically translated into computer simulations.},
}
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