Displaying 10 of 512 results for "Aad Kessler" clear search
Leigh Tesfatsion received the Ph.D. degree in economics from the University of Minnesota, Mpls., in 1975, with a minor in mathematics. She is Research Professor of Economics, Professor Emerita of Economics, and Courtesy Research Professor of Electrical & Computer Engineering, all at Iowa State University. Her principal current research areas are electric power market design and the development of Agent-based Computational Economics (ACE) platforms for the performance testing of these designs. She is the recipient of the 2020 David A. Kendrick Distinguished Service Award from the Society for Computational Economics (SCE) and an IEEE Senior Member. She has served as guest editor and associate editor for a number of journals, including the IEEE Transactions on Power Systems, the IEEE Transactions on Evolutionary Computation, the Journal of Energy Markets, the Journal of Economic Dynamics and Control, the Journal of Public Economic Theory, and Computational Economics. Online Short Bio
Agent-based computational economics (ACE); development and use of ACE test beds for the study of electric power market operations; development and use of ACE test beds for the study of water, energy, and climate change
I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference
Land cover changes spatial agents based modelling
Forest fire risk modelling
Geographical information based modelling
Decision support for land planning
I am a full professor at the College of Economics and Management, Huazhong Agricultural University, and the Executive Dean of the Digital Agriculture Research Institute.
Main Research Topics :
1) Agent-based Modeling (Communication between agents)
2) Economic and Econometric Algorithms and Software Development
3) Optimal International Trade Configuration
Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.
Mainly interested in studying social networks of learners, teachers, and innovators. Uses Social Network Analysis, but also sentiment analysis, data mining, and recommender system techniques.
Integrating social and natural science to study coupled human-natural systems, and particularly the interactions of society with the physical environment under conditions of environmental stress.
Evolution of Societies and complex systems
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