His primary areas of investigation include Social simulation, Management science, Knowledge management, Social science and Social psychology. His Social simulation research is multidisciplinary, incorporating perspectives in Social learning, Autonomous agent, Economic system and Evolutionary game theory. His research in Management science intersects with topics in R-CAST, Agent-based social simulation, Decision engineering, Adaptation and Decision-making models.
The Knowledge management study combines topics in areas such as Competitive advantage and Oracle. His study in Social science is interdisciplinary in nature, drawing from both Software and Scientific discourse. In general Social psychology study, his work on Persuasion and Schema often relates to the realm of Household survey, thereby connecting several areas of interest.
The scientist’s investigation covers issues in Management science, Social simulation, Social science, Knowledge management and Epistemology. His Management science research includes themes of Evolutionary economics and Dynamics. He has included themes like Quality, Data science, Computational sociology and Cellular automaton in his Social simulation study.
Nigel Gilbert spends much of his time researching Management science, Computer based, Evolutionary economics, Social simulation and Knowledge management. His work carried out in the field of Management science brings together such families of science as Technological evolution and Social system. Nigel Gilbert integrates Computer based and Diffusion in his studies.
Nigel Gilbert interconnects Quality, Computational sociology and Library science in the investigation of issues within Social simulation. His research investigates the connection between Quality and topics such as Compromise that intersect with problems in Process. Process is closely attributed to Data science in his work.
His main research concerns Management science, Social simulation, Knowledge management, Risk analysis and Process. His Management science research incorporates elements of Evolutionary economics, Decision engineering and Decision-making models. His Social simulation research integrates issues from Discipline, Multidisciplinary approach, Task, Medical education and Set.
His Knowledge management research is multidisciplinary, incorporating elements of Technological evolution, Engineering ethics, Diffusion and Diffusion of innovations. His studies deal with areas such as Control, Architecture, Social environment and Data collection as well as Risk analysis. He has included themes like Quality, Invisible hand, Computational model, Public policy and Data science in his Process study.
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Simulation for the Social Scientist
G. Nigel Gilbert;Klaus G. Troitzsch.
Opening Pandora's Box: A Sociological Analysis of Scientists' Discourse
G. Nigel Gilbert;M. J. Mulkay.
G. Nigel Gilbert.
Researching social life
G. Nigel Gilbert.
Teaching Sociology (1994)
Agent-based land-use models: a review of applications
Robin B. Matthews;Nigel G. Gilbert;Alan Roach;J. Gary Polhill.
Landscape Ecology (2007)
Referencing as Persuasion
G. Nigel Gilbert.
Social Studies of Science (1977)
How to build and use agent-based models in social science
Nigel Gilbert;Pietro Terna.
Mind & Society (2000)
Simulating speech systems
Norman M. Fraser;G.Nigel Gilbert.
Computer Speech & Language (1991)
Artificial Societies: The Computer Simulation of Social Life
Nigel Gilbert;Rosaria Conte.
Manifesto of computational social science
R. Conte;N. Gilbert;G. Bonelli;C. Cioffi-Revilla.
European Physical Journal-special Topics (2012)
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