My research is focused on autonomous agents and multiagent systems. Specifically: Trust and reputation models, cognitive architectures, cognitive models and social simulation.
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
Agent-based models of human behaviour, from cognitive modelling through to cognitively-rich social simulation.
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”).
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.
Philosophy of Science
Science & Society
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.
social-ecological modelling; cognitive modelling; agent-based modeling&simulation; data science; smart city modelling; artificial intelligence; large-scale simulation
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.
Graduate studies in mathematical behavioral sciences, with focus on developing cognitively plausible agent models for simulation of economic problems.
PhD student at University of Toronto: memes, social networks, contagion, agent based modeling, synthetic populations