J. Gary Polhill
Gary Polhill did a degree in Artificial Intelligence and a PhD in Neural Networks before spending 18 months in industry as a professional programmer. Since 1997 he has been working at the Macaulay Institute on agent-based modelling of land use and related systems. He is interested in complex systems, social dilemmas, spatially-explicit modelling, and best practice in agent-based modelling, programming and design. He is also interested in the role of ontologies in formally describing and annotating simulation models and experiments, and developing Semantic Grid concepts to support agent-based social simulation.
Macaulay Land Use Research Institute
Web: http://www.macaulay.ac.uk/staff/staffdetails.php?garypolhill; or http://www.macaulay.ac.uk/fearlus
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