Displaying 10 of **18** results
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Msc. Mechanical Eng., Msc. Chemical Eng.

Adapting Agents on Evolving Networks: An evolutionary game theory approach

Master of Science, Bachelor of Science

social simulation, Multiagent Systems, Process Algebra, Game Theory

PhD Economics, MS Physics, BA Physics

Exhaustible natural resources

Fishery resources

Network game theory models

Agent-based models

Game theory, artificial intelligence, agent-based models, genetic algorithms.

Ph.D. in economics, Strasbourg University

Analyzing economic dynamics through game theory and agent based evolutionary models. My research topics go from dynamics of organizations to industrial dynamics, macroeconomic dynamics and economic policy analysis.

Yiyu Wang is a PhD student in Center for Spatial Analysis and Policy (CSAP), at University of Leeds. Currently her research interests are the forward-looking simulation model of pedestrian evacuating behaviours especially in emergency situations incorporating Bayesian game theory within multi-agent systems, and their interactions with other social factors.

Master's degree in Social History, Universidade de São Paulo, BA in History, Universidade de São Paulo

PhD student in Economic History, Universidade de São Paulo.

My research interests are the history of Gaelic Ireland (13th and 14th centuries), historical game studies, and the use of formal modeling techniques in historical research.

Magistral Degree, Physics, University of Rome, “La Sapienza”, Italy, Dottorato, Computer Science and Mathemaatics, University of Perugia, Italy, PhD, Institute for Mathematical Behavioral Sciences, Social Science, University of California, Irvine

My research focuses pn the intersection between game theory, social networks, and multi-agent simulations. The objectives of this scientific endeavor are to inform policy makers, generate new technological applications, and bring new insight into human and non-human social behavior. My research focus is on the transformation of cultural conventions, such as signaling and lexical forms, and on many cell models models of stem cell derived clonal colony.

Because the models I analyze are formally defined using game theory and network theory, I am able to approach them with different methods that range from stochastic process analysis to multi-agent simulations.

Tarik Hadzibeganovic is a complex systems researcher and cognitive scientist interested in all challenging topics of mathematical and computational modeling, in both basic and applied sciences. His particular focus has been on several open questions in evolutionary game theory, behavioral mathematical epidemiology, sociophysics, network theory, and episodic memory research. When addressing these questions, he combines mathematical, statistical, and agent-based modeling methods with laboratory behavioral experiments and Big Data analytics.

Computer Science, PhD in Heritage Studies

My interests are focused on the development of new methodologies capable of exploring the complex relations between time, space and human behavior. Simulation, game theory and spatial analysis are some of the techniques that I use to explore different research questions, from the relation between environment and culture to the evolution of warfare.

I’m also the project manager of Pandora, an open-source ABM platform specifically designed for executing large scale simulations in High-Performance Computing environments.

Displaying 10 of **18** results
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