Community

Jordi Sabater-Mir Member since: Tuesday, November 07, 2017

PhD in Artificial Intelligence

My research is focused on autonomous agents and multiagent systems. Specifically: Trust and reputation models, cognitive architectures, cognitive models and social simulation.

Garry Sotnik Member since: Friday, April 06, 2018 Full Member Reviewer

I have a background in social science and training in modeling coupled human and natural systems, and apply both to advance our understanding of how interactions among cognitive, behavioral, social, and demographic processes influence human adaptation to climate change.

agent-based modeling, cognition

Emma Norling Member since: Tuesday, December 03, 2013

PhD (Computer Science) The University of Melbourne (2009)

Agent-based models of human behaviour, from cognitive modelling through to cognitively-rich social simulation.

Sae Schatz Member since: Tuesday, November 04, 2014

Modeling and Simulation, Ph.D., Modeling and Simulation, M.S., Computer Information Technology, B.S.

Sae Schatz, Ph.D., is an applied human–systems researcher, professional facilitator, and cognitive scientist. Her work focuses on human–systems integration (HSI), with an emphasis on human cognition and learning, instructional technologies, adaptive systems, human performance assessment, and modeling and simulation (M&S). Frequently, her work seeks to enhance individual’s higher-order cognitive skills (i.e., the mental, emotional, and relational skills associated with “cognitive readiness”).

Roope Oskari Kaaronen Member since: Monday, August 26, 2019 Full Member

I am a multidisciplinary researcher (PhD Candidate) at the University of Helsinki. My research interests include sustainable behaviour change, ecological psychology, cognitive science and cultural evolution. I have a soft spot for complex systems and philosophy of science.

GitHub: https://github.com/roopekaaronen/

Ecological Psychology
Environmental Policy
Philosophy of Science
Cognitive Science
Ecological Rationality
Science & Society
Complex Systems
Agent-Based Modeling

Carole Adam Member since: Friday, February 03, 2017

PhD in Artificial Intelligence

Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.

Thomas Clemen Member since: Tuesday, September 17, 2019 Full Member

Diploma in Computer Science, Technical University of Dortmund, Germany, Dr. rer. nat. in Computer Science, Christian-Albrechts University, Kiel, Germany

social-ecological modelling; cognitive modelling; agent-based modeling&simulation; data science; smart city modelling; artificial intelligence; large-scale simulation

Guido Fioretti Member since: Tuesday, April 24, 2012 Full Member Reviewer

PhD

Guido Fioretti, born 1964, graduated in Electronic Engineering in 1991 at La Sapienza University, Rome. In 1995, he received a PhD in Economics from this same university. Guido Fioretti is currently a lecturer of Organization Science at the University of Bologna.

I am interested in combining social with cognitive sciences in order to model decision-making facing uncertainty. I am particularly interested in connectionist models of individual and organizational decision-making.

I may make use of agent-based models, statistical network analysis, neural networks, evidence theory, cognitive maps as well as qualitative research, with no preference for any particular method. I dislike theoretical equilibrium models and empirical research based on testing obvious hypotheses.

Steven Doubleday Member since: Sunday, June 30, 2013

BS, Sociology/Anthropology, Haverford College

Graduate studies in mathematical behavioral sciences, with focus on developing cognitively plausible agent models for simulation of economic problems.

Ian Dennis Miller Member since: Tuesday, February 16, 2016 Full Member

MA Social Psychology, BS Cognitive Science

PhD student at University of Toronto: memes, social networks, contagion, agent based modeling, synthetic populations

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