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Harsha Krishna Member since: Tuesday, July 10, 2018 Full Member

I develop simulation tools for generating what-if scenarios for decision making. I predominantly use Agent-Based Modelling (ABM) technique as most of my simulations model complex systems. In some cases, I have extended existing tools with modifications to model the given system. Although the tools are meant for research purposes, I have followed industry friendly delivery mechanisms, such as unit-tests, autmated builds and delivery on cloud platforms.

  • Agent-Based Modelling
  • Complex Social Systems
  • Gaming-Simulations

Vitor Hirata Sanches Member since: Friday, August 20, 2021

Ms. Complex Systems Modeling, University of São Paulo

Konstantinos Raptis Member since: Saturday, December 08, 2012

Master's degree, Information Management and Web Technologies, University of the Aegean, DipEng, Information and Communication Systems Engineering, University of the Aegean

Francisco Grimaldo Member since: Sunday, November 03, 2013

PhD. in Computer Science

My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.

Antonio Díaz Member since: Wednesday, August 03, 2016

Computer Science, Philosophy

Agent Models for Social Simulation

Morteza Mahmoudzadeh Member since: Sunday, May 10, 2015 Full Member Reviewer

Dr.

Dr. Morteza Mahmoudzadeh is an assitant professor at the University of Azad at Tabriz in the Department of Managent and the director of the Policy Modeling Research Lab. Dr. Mahmoudzadeh did a degree in Software Engineering and a PhD in System Sciences. Dr. Mahmoudzadeh currently works on different regional and national wide projects about modeling sustaiblity and resilience of industrial ecosystems, innovation networks and socio-environmental systems. He also works on hybrid models of opinion dynamics and agent based models specifically in the field of modeling customers behavior and developing managerial tools for strategic marketing policy testing. His team at Policy Modeling Research Lab. currently work on developing a web based tool with python for systems modeling using system dynamics, Messa framework for agent-based modeling and Social Networks Analysis.

Modeling Complex systems, Simulation: System Dynamics, Agent Based and Discrete Event
System and Complexity Theory

William Rand Member since: Wednesday, October 24, 2007 Full Member Reviewer

PhD, Computer Science, University of Michigan, Certificate of Study, Center for the Study of Complex Systems, University of Michigan, MS, Computer Science, University of Michigan, BS, Computer Science, Michigan State University, BA, Philosophy, Michigan State University

The big picture question driving my research is how do complex systems of interactions among individuals / agents result in emergent properties and how do those emergent properties feedback to affect individual / agent decisions. I have explored this big picture question in a number of different contexts including the evolution of cooperation, suburban sprawl, traffic patterns, financial systems, land-use and land-change in urban systems, and most recently social media. For all of these explorations, I employ the tools of complex systems, most importantly agent-based modeling.

My current research focus is on understanding the dynamics of social media, examining how concepts like information, authority, influence and trust diffuse in these new media formats. This allows us to ask questions such as who do users trust to provide them with the information that they want? Which entities have the greatest influence on social media users? How do fads and fashions arise in social media? What happens when time is critical to the diffusion process such as an in a natural disaster? I have employed agent-based modeling, machine learning, geographic information systems, and network analysis to understand and start to answer these questions.

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