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Displaying 10 of 80 results computer science clear

Forrest Stonedahl Member since: Fri, Jan 20, 2012 at 08:34 PM Full Member Reviewer

Masters in Computer Science at Northwestern University, PhD in Computer Science at Northwestern University

My primary research interests lie at the intersection of two fields: evolutionary computation and multi-agent systems. I am specifically interested in how evolutionary search algorithms can be used to help people understand and analyze agent-based models of complex systems (e.g., flocking birds, traffic jams, or how information diffuses across social networks). My secondary research interests broadly span the areas of artificial life, multi-agent robotics, cognitive/learning science, design of multi-agent modeling environments. I enjoy interdisciplinary research, and in pursuit of the aforementioned topics, I have been involved in application areas from archeology to zoology, from linguistics to marketing, and from urban growth patterns to materials science. I am also very interested in creative approaches to computer science and complex systems education, and have published work on the use of multi-agent simulation as a vehicle for introducing students to computer science.

It is my philosophy that theoretical research should be inspired by real-world problems, and conversely, that theoretical results should inform and enhance practice in the field. Accordingly, I view tool building as a vital practice that is complementary to theoretical and methodological research. Throughout my own work I have contributed to the research community by developing several practical software tools, including BehaviorSearch (http://www.behaviorsearch.org/)

Emilie Lindkvist Member since: Fri, Mar 03, 2017 at 08:30 PM Full Member

PhD

I have a backround in computer science, worked in natural resource management, and ended up with a PhD in Sustainability Sciences!

My interests are to explore aspects of sustainability, resilience, and adaptive management in social-ecological systems using agent-based models and other simulation models.

Eric Kameni Member since: Mon, Oct 19, 2015 at 06:01 PM Full Member Reviewer

Ph.D. (Computer Science) - Modelisation and Application, Institute for Computing and Information Sciences (iCIS) and Institute for Science, Innovation and Society (ISIS), Faculty of Science, Radboud University, Netherland, Master’s degree with Thesis, University of Yaounde I

Eric Kameni holds a Ph.D. in Computer Science option modeling and application from the Radboud University of Nijmegen in the Netherlands, after a Bachelor’s Degree in Computer Science in Application Development and a Diploma in Master’s degree with Thesis in Computer Science on “modeling the diffusion of trust in social networks” at the University of Yaoundé I in Cameroon. My doctoral thesis focused on developing a model-based development approach for designing ICT-based solutions to solve environmental problems (Natural Model based Design in Context (NMDC)).

The particular focus of the research is the development of a spatial and Agent-Based Model to capture the motivations underlying the decision making of the various actors towards the investments in the quality of land and institutions, or other aspects of land use change. Inductive models (GIS and statistical based) can extrapolate existing land use patterns in time but cannot include actors decisions, learning and responses to new phenomena, e.g. new crops or soil conservation techniques. Therefore, more deductive (‘theory-driven’) approaches need to be used to complement the inductive (‘data-driven’) methods for a full grip on transition processes. Agent-Based Modeling is suitable for this work, in view of the number and types of actors (farmer, sedentary and transhumant herders, gender, ethnicity, wealth, local and supra-local) involved in land use and management. NetLogo framework could be use to facilitate modeling because it portray some desirable characteristics (agent based and spatially explicit). The model develop should provide social and anthropological insights in how farmers work and learn.

S Gym Member since: Wed, Mar 09, 2016 at 10:09 PM

Compuer Engineer, Master in Computer Science Student

This paper investigates how collective action is affected when the interaction is driven by the underlying hierarchical structure of an organization, e.g., a company. The performance of collection action is measured as the rate of contribution to a public good, e.g., an organization’s objective.

Giovanna Sissa Member since: Thu, Jan 05, 2012 at 07:55 PM Full Member Reviewer

PhD in Computer Science

Agent Based Modelling of energy consumer’s awareness diffusion. Role of smart metering in energy consumption. Social norm as limiting factor against rebound effects. Role of behavioral changes in energy efficiency.

Roy Wilson Member since: Thu, Mar 24, 2016 at 11:03 PM

PhD Social and Comparative Analysis in Education, MS History and Policy, MH Humanities, MS Computer Science, MA Mathematics, BA Mathematics and Philosophy

I am interested in the study of small-group decision-making using agent-based simulation of models grounded in sociological social psychology. I am also interested in a particular kind of small-group decision-making: peer review.

Flavio Diniz Member since: Sun, Nov 15, 2020 at 02:10 PM

Eletronic Engineer with specialization in Computer Science and a passion for Artificial Intelligence, Simulation, Programming, and many other tech topcis . One life is really not enough to learn and experiment all cool things that are out there. Love also learning languages: Portuguese, English, French, Italian, and German.

  • Agent-based Modeling
  • Automated Planning and Distributed Problem Solving
  • Natural Language Processing
  • Machine Learning
  • Internet of Things and Cloud-based Distributed Architectures

William Rand Member since: Wed, Oct 24, 2007 at 05:11 PM 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.

Xavier Rubio-Campillo Member since: Mon, Nov 18, 2013 at 12:49 PM

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.

Arpan Jani Member since: Mon, Sep 30, 2019 at 08:13 PM

Arpan Jani received his PhD in Business Administration from the University of Minnesota in 2005. He is currently an Associate Professor in the Department of Computer Science and Information Systems at the University of Wisconsin – River Falls. His current research interests include agent-based modeling, information systems and decision support, behavioral ethics, and judgment & decision making under conditions of risk and uncertainty.

agent-based modeling; behavioral ethics; information systems and decision support; project management; judgment & decision making under conditions of risk and uncertainty.

Displaying 10 of 80 results computer science clear

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