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Currently I develop ABM models to follow up issues raised in my previous research on trade between hunting groups and long-distance trade, territoriality and migration patterns.
IRPact - An integrated agent based modeling approach in innovation diffusion
Goal: The goal of IRPact is to develop a flexible and generic innovation-diffusion ABM (agent-based modelling) framework, based on requirements derived from a literature analysis. The aim of IRPact is to allow for modeling a large number of application contexts and questions of interest.
It provides a formal model (framework) as well as a software implementation in order to assist modelers with a basic infrastructure for their own research.
Conceptually it is thought to be part of the IRPsim (https://irpsim.uni-leipzig.de), with the vision to bring together rational approaches and cognitive modeling in an integrated approach within the context of sustainable energy markets.
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.
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