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: 60
Jordi Sabater-Mir’s research interests include Computational trust and reputation models, norm emergence, cognitive agents, and Agent-based social simulation.
Mauricio Salgado has been involved in various research projects, such as Value-Added Analysis in education, consumer behaviour in financial markets and organizational development. As well, he has been a teacher and teaching assistant in different courses about sociological theory. He is currently interested in computer simulation of communicational interaction and, specifically, the dynamic by which communication constrains individual choices and motivates individuals to act and experience in a relatively coordinated way. The proposed research aims to study and understand this processes by means of a multi-agent simulation model. The research is funded by the Ford Foundation International Fellowships Program and the Chilean National Scholarship Program for Graduate Studies.
René A. Salinas’ research involves using mathematical and computational models to enhance our understanding of ecological systems. He is particularly interested in spatial optimization problems. He is working on develeloping methods for determining optimal strategies in individual-based models. His case study is the black bear population of the southern Appalachians. He is also working on optimal reforestation strategies in Maryland.
David L. Sallach is a social theorist and computational sociologist who specializes in the design of rich social agent architectures.
Tomas Salamon’s research interests include simulations of systems, multi-agent systems, data modeling, finance and economic simulation, and he has recently written a book Design of Agent-Based Models: Developing Computer Simulations for a Better Understanding of Social Processes.
José Ignacio Santos’ research interests focus on in evolutionary economics, social networks, and agent-based modeling.
Aki-Hiro Sato’s research interests concern issues of microscopic dynamics and statistical properties in complex systems from viewpoint of similarity, causality, and universality. His research motivation is to find fundamental principles to design a relationship between agents from Informatics point of view. He investigates multi-dimensional quantification and visualization of behavioral patterns of multi-agents considering that it is significant to bridge the gap between microscopic dynamics and macroscopic properties through stochastic processes.
Teresa Satterfield’s research Interests include: incorporating notions of complex adaptive systems as computer simulations to study first language acquisition and language contact phenomena. Working closely with the U-M Center of Study of Complex Systems, she have implemented several agent-based models to reconstruct natural language acquisition scenarios, with an eye toward providing greater socio- and psycholinguistic explanations for situations where bilingualism and creole languages emerge.
Robert Savit’s current research interests are in the are of nonlinear and adaptive systems. Of particular interest is the study of adaptive competition for scarce resources, and related issues. Professor Savit’s group examines the deep phase structure that such systems exhibit and explores the application of their insights to problems in group decision making in business, social systems, resource allocation problems, and evolutionary systems. Current topics include models of co-adaptation and co-evolution. Professor Savit’s group has also performed experiments with groups of human subjects that study the problem of resource allocation, competition and emergent coordination. In addition, his research group also focuses on the development of new methods of analysis for nonlinear systems, and applies these methods to a range of intrinsically nonlinear systems including social and biological systems, as well as purely mechanistic ones.
R. Keith Sawyer’s research focuses on three related topics creativity, learning, and play. In studying each of these topics, he focuses on understanding the subtle and often hidden role of collaboration, conversation, interaction, and improvisation.
Hiroki Sayama’s research interests include: (1) Complex Dynamical Networks: State-topology coevolution in adaptive networks, generative network automata, social network evolution, network analysis, modeling and simulation. (2) Artificial Life/Chemistry: Collective behavior of swarms, self-replication, self-repair, morphogenetic engineering, cellular automata, pattern formation, artificial evolutionary systems, open-ended evolution, and nature-inspired computing. (3) Human and Social Dynamics: Collective human decision making, team and organizational dynamics, mental model formation, irrational behavior, agent-based modeling and simulation. (4) Interactive Systems: Interactive evolutionary computation, interactive educational tools, and interactive media art.
Brian Scassellati’s research focuses on building embodied computational models of human social behavior, especially the developmental progression of early social skills. His work uses computational modeling and socially interactive robots in three methodological roles to explore questions about social development that are difficult or impossible to assail using methods of other disciplines.
Eric M. Schauber’s research interests include space use of the long-tailed weasel (Mustela frenata) in relation to changes in prey availability; individual-based modeling of white-tailed deer movements and epizootiology; GIS Lab; doves; habitat occupancy of sympatric carnivores in southern Illinois; and effect of concentrated food on contact rates and space use of white-tailed deer.
Nancy Schellhorn’s research focuses on:how landscape features and habitat structure influences the dynamics of pest populations in crops; whether the presence of multiple species of natural enemies provide greater pest suppression; how foraging traits of predators and prey distribution change foraging performance; and investigating crop and non-crop habitat as both sources and sinks for pests and natural enemies.
Maja Schlüter’s research interests include mechanisms and dynamics of resilience in social-ecological systems; cooperation in common pool resources management; adaptive water management, approaches to deal with uncertainties and change in river basin management; application of computational (agent-based) and mathematical modeling approaches to study human-environment interactions in resource management; and environmental flows.
Michel Schilperoord is an experienced modeller and researcher in the general area of agent-based simulation. His current work is concentrated on mapping the regional innovation networks in Ireland (INRE).
Jürgen Schmidhuber’s research interests include: computer vision, artificial evolution, recurrent neural, learning attentive vision, reinforcement learning networks, genetic programing, learning economies, learning robots, and artificial ants and swarm intelligence.
Darren Schreiber’s research centers on emergence and complexity in political systems. While earning his Ph.D. in Political Science at UCLA, Darren developed an agent-based computer simulation of the formation and dynamics of political parties. His dissertation research used functional brain imaging (fMRI) to study the neural substrates of political cognition and affect. He has shown that ideological sophisticates differ from political novices in their heightened use of the posterior cingulate, a brain region associated with automatic social evaluation. His long-term objective is to integrate his agent-based models of macro political dynamics with his computational model of political cognition in individuals in order to illuminate the emergence of political ideology in mass publics.
Nathan Schurr’s research interests focus on allowing humans and artificially intelligent entities to collaborate and interact. He has applied this expertise to domains ranging from software personal assistants to human-multirobot teams. He is the creator of an Incident Command training system, DEFACTO, which has been tested by the Los Angeles Fire Department. The system allows human incident commanders to coordinate with fire fighter agents during a large-scale disaster response.
Frank Schweitzer’s recent research focus is on applications of complex systems theory to the dynamics of social and economic organizations. This includes the development of formal concepts, quantitative modeling and computer simulations.
Abhijit Sengupta’s current research focuses primarily on dynamics of markets and consumer behaviour. He is interested in examining emergent social phenomena of all kinds in different markets, both from the perspective of shoppers as well as from that of firms and various intermediaries. He combines varied approaches such as microeconomics, evolutionary game theory and social psychology to build behavioral models which can be tested within an agent based framework. He is also actively engaged in research involving model validation and verification methodologies using real life data sets as well as experiments. Abhijit comes from an microeconomics and applied game theory background, and is engaged in research in these fields as well.
Raja Sengupta’s research interests include the theory and practice of geographic Information science (Spatial Decision Support Systems and Agent-Based Modelling).
Jeanne Sept research interests focus on Investigating proto-human subsistence ecology to understand human origins. Her research has led her into the African savannas to understand how ancient environmental conditions could have influenced the dietary adaptations of early hominid. Working with her students, she has been using agent-based modeling to help evaluate hypotheses about proto-human diet and subsistence. They have created an ABM called HOMINIDS: Hungry Omnivores Moving, Interacting and Nesting in Independent Decision-making Simulations.
Ernest Sergenti’s research interests include comparative politics, south Asian politics, political economy, agent-based modeling, and quantitative methods.
Ali Rais Shaghaghi’s research interests include: agent-based computational economics, financial modeling, computational intelligence in economics and finance, algorithmic trading, digital modeling of financial contagion, and evolutionary computation.
Alexei Sharpanskykh’s research focuses on modeling and analysis of complex socio-technical systems, in particular artificial (multi-agent) and real (human) organizations. His research interests include exploration and development of analysis methods (for example, model checking techniques) and tools that are dedicated to the kind of structures and properties relevant for the modeling and analysis of complex socio-technical systems.
Imran Shah is a computational systems biologist at the EPA’s National Center for Computational Toxicology. Dr. Shah provides leadership and guidance in the development of intelligent computational, systems-based models that support improved assessment of the public and ecological health implications of environmental stressors. He leads the Virtual Liver project – a cross scale knowledgebase of hepatic molecular and cellular networks, and an in silico tissue simulator for explaining the dose-dependent effects of chemicals.
Daniel Shapira’s research interests include complexity of market dynamics, diffusion of innovation, emergence of collective behavior in social systems, and social networks.
José Luis Segovia’s research focuses on the study of complex biological systems. Some fundamental questions I address are related to the role of hierarchies in biological information processing, the integration of information from lower levels (genes, proteins) to the level of a functional system, and the impact of biological systems in future computing architectures. A system of differential equations can be created to represent the system, but I find agent-based modeling techniques more suitable, since important object features and space can be adequately represented. The computer program is encoded (I prefer to write programs in C/C++), then computer experiments, and sophisticated uncertainty and sensitivity analyses are performed.
Hatice Şengül research interests include agent-based modeling life cycle analysis, cleaner production, industrial ecology, nanotechnology and sustainability, technological accidents, and natural disasters.
Onn Shehory’ research interests include distributed artificial intelligence, agents and multi-agent systems, autonomic and self-* systems, cooperation and coalition formation, agent-oriented software engineering, electronic commerce, distributed storage systems, non-newtonian fluid dynamics, molecular dynamics.
Adi Shklarsh’s research interests focus on developing and applying agent based modeling to the study of complex groups in nature, using computational and algorithmic tools, physical models, and game theory.
Jaime Simão Sichman’s research interests include models of social reasoning in multi-agent systems; organizational knowledge in multi-agent systems; multi-agent based simulation in economic and social sciences; cognitive agent models; platforms for MAS; agents for groupware and CSCW; and semantic web and semantic web services.
Peer-Olaf Siebers’ research starts with Agent-Oriented Discrete Event Simulation (AO-DES) as a novel stochastic approach to study the dynamics of complex adaptive systems. There are numerous application opportunities to use this approach for enhancing the modelling and analysis of human-centric operations and service systems in fields like Operations Research, Energy Policy, Management Science and Digital Economy. However, methods still need to be further developed, tested, and standardised. His research goal is to establish AO-DES as an alternative to the predominately mathematic methods currently used by researchers and practitioners. He is also interested in the application of different types of modelling and simulation to support Risk Analysis.
Maarten Sierhuis’ research focuses on on multi-agent systems, simulation and human-agent interaction.
Carles Sierra’s research focuses on developing multi-agent systems for social, economic, and political problems.
“Riyaz Sikora’s research interests include learning in multi-agent information systems, machine learning, data mining, and business applications of evolutionary computation.
Munindar P. Singh’s research interests include multiagent systems; intelligent agents; agent communication languages and protocols; application-level trust; service-oriented computing; information management in open environments; and service science management and engineering.
Satinder Singh’s interests include the old-fashioned goal of Artificial Intelligence (AI), that of building autonomous agents that can learn to be broadly competent in complex, dynamic, and uncertain environments. The field of reinforcement learning (RL) has focused on this goal and accordingly my deepest contributions are in RL
Leszek Siwik interests focus on the application of evolutionary algorithms to problems in multi-agent systems.
Elizabeth Sklar’s research interests include multi-agent simulation, interaction mechanisms in multi-agent and multi-robot systems, and educational robotics.
Hans Skov-Petersen’ research interests include: GIS-based models of humans’ spatial behavior, agent-based models, indicators of urban environment, GIS in relation physical planning processes, data and model inaccuracy, and GIS-based communication.
Paul Smaldino is a Postdoctoral Fellow at the Center for Advanced Modeling in the Social, Behavioral, and Health Sciences at Johns Hopkins University. His research is on computational agent-based models of group dynamics and social evolution. He is also interested in basic research on mobile agents and a number of general problems in biology and behavior.
Rod Smallwood FREng HonFRCP is Director of Research and Innovation: Healthcare across the Disciplines and Professor of Computational Systems Biology.
V Anne Smith’s research focuses on computational biology (functional network inference algorithms, Bayesian networks, and heuristic search), complex biological networks, agent-based models of behavior and for evaluating algorithms.
Eliot Smith’s research interests include the role of intergroup emotions (emotions experienced with respect to one’s collective self as a group member) in prejudice and intergroup relations; new conceptualizations of cognition as situated and embodied and their implications for social cognition; connectionist or neural network models in social psychology; social cognition in general, particularly the nature of mental representations of persons and groups and their effects on social judgments, including person perception and stereotyping.
James L. David Smith’s research interests include biology and conservation of mammals in Asia; conservation data bases; individual based modeling of large mammal and human dynamics, metapopulation structure of large mammals in relation to landscape patterns and the human dimension context, ecosystem management.
Sorin Solomon’s research includes the application of agent-based modeling to complex systems such macroeconomics.
Liz Sonenberg’s research interests include the design of reasoning machinery for systems that exhibit complex collaborative behaviours. For some years her major research efforts have been in the foundations and applications of systems within the BDI (Belief, Desire, Intention) agent paradigm, with a particular focus on teamwork, but she has also studied various elements of non-monotonic reasoning. She has also explored opportunities for the use of agent technologies to meet the challenges faced by designers and developers of mobile, context aware applications. Industry collaborations have included the Australian Artificial Intelligence Institute, Agent Oriented Software P/L, Clarinox P/L, the Defence Science and Technology Organisation (DSTO), and Neuragenix P/L. I have also been involved with projects receiving support from Hewlett Packard and Microsoft. She has worked with collaborators in Psychology and Education on studies involving human reasoning processes. She is a participant in the Interaction Design Group in the Department of Information Systems and the Agent Lab research activity that is a collaborative endeavour with the Department of Computer Science and Software Engineering.
Von-Wun Soo’ research interests focus on artificial intelligence theories and applications including intelligent agents, machine learning theories and applications, natural language processing and acquisition, information extraction based on ontology and digital library applications, bioinformatics in genome and medical applications, multi-agent negotiation based on game theories, and e-commerce applications.
Flaminio Squazzoni’s research interests include social simulation, agent-based computational models of social and economic phenomena; social norms; manufacturing firms, innovation and local economic systems.
Susan Stepney research interests include non-standard computation, modelling and abstraction.
Richard Stillman research focuses on field studies of animal behaviour and ecology and modeling animal behaviour and ecology.
Peter Stone’s research interests focuses mainly on machine learning, multiagent systems, and robotics. To him, the most exciting research topics are those inspired by challenging real-world problems. He believes that successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. His application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing, and social agents.
Forrest Stonedahl’s research interests include several areas, including multi-agent systems, evolutionary computation, dynamic processes on networks, emergence in complex systems, and computer science education.
Espen Strand’s research focuses on agent-based adaptation of short term behavior and life-history strategies to external processes and how these adaptations are related to the emergent population dynamics. Strand works with mainly aquatic systems and populations and has developed models ranging from minimalistic theoretical models to elaborate complex species-specific models.
Cédric Sueur’s (French Website) research interests include decision-making and consensus, collective movements, self-organisation, and social Networks.
Ron Sun’s research interest lies in the study and modeling of cognitive agents, especially in their abilities to learn, reason, and act in the real world. More specifically, his research can be categorized into the following areas: human and machine learning, connectionist reasoning and knowledge representation, hybrid models, as well as multi-agent interaction and cognitive social simulation.
Alan C. Swedlund’s primary research lies in questions of population and health in prehistoric, historical, and contemporary settings. He is particularly interested in measures of changing health through time and how these relate to environmental, biological and cultural processes. He has used agent-based modeling to theoretically investigate these issues, and is a collaborator with George Gumerman on a project measuring cultural complexity and past human adaptation to the environment in the American Southwest.
Katia Sycara’s research interests focus primarily on the area of artificial intelligence with special focus on: distributed, collaborating intelligent agents negotiation strategies coordination strategies for distributed planning. Her current projects include applying research on intelligent agents to joint crisis action teams, organizational decision making, electronic commerce, manufacturing, and financial planning. Her past projects have involved integrated manufacturing systems architecture, constraint-directed reasoning, and case-based reasoning in engineering design.
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