Here you will find an evolving list of researchers around the world who do agent-based modeling or related work. This list is intended as a resource for those interested in discovering people doing interesting research in ABM or related fields in different disciplines. Where ever possible, I try to link a picture of the person, which is directly linked to their website.
Total Researchers Listed on this Page: 29
Julian Padget’s research interests include intelligent agents, distributed systems, electronic commerce, artificial intelligence, programming language design and implementation, mobile programming, and computer music.
Mario Paolucci is studying and applying multiagent-based social simulation and agent theory to understand social artefacts, in particular reputation, norms, responsibility, and the cultural evolutionary mechanisms that support them.
Scott E Page is director of the Center for the Study of Complex Systems at The University of Michigan. His research focuses on the theoretical foundations of complex adaptive systems with a focus on the importance of diversity. His applied interests include the study of institutional performance and design, culture, team problem solving, and prediction markets. His research combines agent-based and mathematical methods.
Javier Pajares’ research interests include project management, innovation and technology management, agent based modelling of complex socio-economic systems, and project and corporate finance.
Liviu Panait’s research interests deals with cooperative multi-agent learning. In particular, he is interested in evolutionary computation, reinforcement learning, and inter-agent communication. He has also done extensive work in the areas of genetic programming and concept learning.
Adolfo López Paredes’ research interests include research interests include computer simulation of social and economic behaviour and industrial policy: auctions, financial markets, natural resources management, supply chain management.
Joe Parish’s research interests include historic epidemics; ethnohistory; demography; mathematical disease modeling; agent-based models; island populations; genealogy.
Thomas K. Park’s research interests include Urbanization in Africa and the Middle East, complexity theory, economic theory, mathematical methodologies in anthropology and history, the history of credit, flood recession agriculture, the Sahara, the Sahel, North Africa, development, economic history, North African Arabic archives, bureaucracy in Africa and the Middle East, colonialism & imperialism, anthropology of law, Islam, land tenure, 18th to 21st C European philosophy, foragers in arid lands, pastoralism, Pyrrhonic skepticism, political ecology.
Dawn Parker’s research interests include: development of integrated socio-economic and biophysical models of land-use change; agent-based modeling; complexity theory; geographic information systems; and environmental and resource economics.
Miles Parker research interests include science and technology and agent-based modeling. He designed and developed Ascape.
Brett Parris research interests include economic development policy, agent-based modelling, complex systems science, climate change, energy futures, networks & network analysis, poverty and overseas aid, the interactions between economic development, climate change, energy, conflict and public health.
Hazel R Parry’s research interests focus on ecological modelling, spatial and migration ecology, and biosecurity and invasive species.
H. Van Dyke Parunak’s research interests include software Engineering for agents, agent-based software architectures for real world applications, agent-based design and distributed constraint optimization, agent-based modeling, digital pheromones, nonlinear dynamics and control, applications of linguistics to manufacturing control, hypertext, and virtual enterprises and electronic commerce.
Juan Pavón is Full Professor at Universidad Complutense Madrid (Spain), where he leads the GRASIA research group on multi-agent systems. His research interests include simulation of complex systems, agent-oriented software engineering, and artificial intelligent applications for services personalization, knowledge management, decision making, interactive art, and ambient assisted living.
Nicolas Payette is a computer scientist who decided some years ago to take a (long) detour through philosophy. His initial question concerned the foundations of artificial intelligence, but he finally realized that he was more interested in what AI can do for philosophy than what philosophy can do for AI. In this context, he looked at various forms of computer simulation, including artificial neural networks and, more recently, artificial life and multi-agent systems.
Guy Pe’er’s research focuses on the links among different ecological levels: animal behavior, population (and metapopulation) dynamics, community structures and biodiversity patterns. He uses agent-based models models together with field experiments for a better understanding of nature as well as for deriving practical tools for conservation. His study organism include butterflies, mammalian predators (Eurasian Lynx), plants (Acacia trees), and birds.
Shayn M. Peirce-Cottler’s research interests include computational systems biology, microvascular remodeling, stem cells.
John W. Pepper’s research interests focus on complex systems and multilevel selection theory, which can be a useful tool for studying the evolution cooperation and conflict at different levels of organization. These include intragenomic conflict, ontogeny, cancer, senescence, sexual reproduction, pathogen virulence, resource exploitation, interference competition, mutualism, social cooperation, and transitions in individuality. He uses agent-based modeling to study multilevel selection and its applications, especially to biomedical problems.
Renana Peres’s research interests include Innovation diffusion and the evolution of markets for new products; complexity research and use of agent-based models for exploring market growth; industrial marketing.
Pascal Perez’s research focuses on integrative social simulation, using multi-agent systems technologies to explore complex and adaptive systems. He is the co-Convenor of the Agent Based Modelling Theme within the ARC funded, COSNet Network of Excellence.
Dean Petters’ research interests include developmental psychology – attachment theory, infant development, perceptual development; cognitive psychology; evolutionary psychology; emotion; cognitive modelling – with multi-agent simulations using autonomous agents, and with artificial neural networks; artificial intelligence; and human computer interaction.
Denis Phan’s research interests since 2000 have been cognitive and computational economics and social sciences (ACE).
Isaac Pinyol’s research interests include the design and implementation of agent-based models to investigate reputation social systems.
Gary Polhill research focuses on the FEARLUS agent-based model of land-use change and associated projects. He is interested in complex systems, social dilemmas, coupled human-natural systems modelling, semantic grid tools for facilitating and describing social simulations, and best practice in agent-based modelling, programming and design.
Christina Ponsiglione is researcher at the Dept. of Business and Managerial Engineering at the University of Naples Federico II and Assistant Professor in Managerial and Accounting Systems at the School of Engineering of University of Naples Federico II. Her Research interests concern mainly the modeling of learning processes in small firms’ networks through agent-based computational methodology and the exploration of small firms’ networks dynamics through
Marta Posada’s research interests include agent-based computational economics, experimental economics, learning, markets, and environmental Policy.
Conrad Power’s research interests include Geographic Information Sciences, specifically geographic information systems, geosimulation, spatial modeling, spatial analysis, and geostatistics.
Luke Premo’s research interests include agent-based modeling, cultural evolution and diversity, cultural transmission, evolution of altruism, gene-culture coevolution, human evolution, life history, multilevel selection, paleodemography, social networks, and spatially explicit models.
Andreas Pyka research interests include modern Innovation theory, industrial economics, complexity economics, neo-Schumpeterian economics and industrial dynamics, biotechnology industries, energy and innovation, innovation networks, innovation and employment, R&D Policy, and applications of agent-based modeling.
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