ABM researches on the theory of social systems. For example, the formation of a community, the origin of politics, nation, and state.
Simulation of emergent behavior systems and metrics associated with the detection and characterization of emergent phenomena.
I am interested in the interface between biology and computation. I am especially focused on modelling and simulation of evolutionary processes.
Postdocs Education (Sustainable Development): Leicester, UNU-IAS. PhD Educational Technology: Leeds. MSc Man-Computer Systems, BSc Computer Science: De Montfort
Existential crises’ solutions.
Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models
I am interested in using agent based modelling and systematic data collection to understand diachronic human-environment interactions in the Maya region of Guatemala, Mexico, and Belize.
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 Institute on agent-based modelling of human-natural systems, and has worked on various international and interdisciplinary projects using agent-based modelling to study agricultural systems, lifestyles, and transitions to more sustainable ways of living. In 2016, he was elected President of the European Social Simulation Association, and was The James Hutton Institute’s 2017 Science Challenge Leader on Developing Technical and Social Innovations that Support Sustainable and Resilient Communities.
As publically funded science has become increasingly complex, the policy and management literature has begun to focus more attention on how science is structured and organized. My research interests reside at the nexus of science and technology policy, organizational theory, and complexity theory—I am interested in how the management and organization of S&T research influences the implementation of policies and the emergence of organizational strategies and innovation. Although my research involves the use of multiple qualitative and quantitative methods, I rely heavily on agent based modeling and system dynamics approaches in addressing my research questions.