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: 49
Innocent Bakam’s research research focuses on understanding characteristics of social and ecological networks, and how different network types contribute to overall system resilience. This requires the development and use of modelling approaches to simulate differing network structures and rules of assembly representing social, economic, and/or ecological networks in real-life socio-ecological systems. In relation to climate change, he is working on modelling the impact of different management policies such as taxes, incentives and market mechanisms on the GHG emission reduction in the Scottish agricultural sector.
Gérard Ballot research interests include economy and Labour Markets, innovation in economics, business organization, modeling (simulation methods, e.g., ABM).
João Balsa’s research interests include artificial intelligence, multiagent-based simulation, distributed AI/multi-agent systems, and natural language processing.
Yaneer Bar-Yam is president of the New England Complex Systems Institute and his research is focused on dynamic patterns of behavior, characterizing effectiveness, formation through evolution, and how to improve the systems around us.
Juan A. Barcelo’s research has focused on statistical issues in archeology for 20 years. He is also founder and director of the Laboratory of Quantitative Archaeology and Computer Applications, and co-founder of the newly created Laboratory for the Computer Simulation of Social and Historical Dynamics, also at the Autonomous University of Barcelona (Spain). He has been named President of the Spanish Association of Computer Applications in Archaeology, and represents Spain in the International Association on Computer Applications and Quantitative Methods in Archaeology International Society, and Commission IV Data Management and Mathematics of the Union International for Prehistoric and Protohistoric sciences, Prof. Barceló has has specialized in the development of archaeological techniques and the theory of the discipline. He has developed methodological applications, especially in topics such as Spatial Analysis, Statistical Multidimensional Analysis, Computer Assisted Visualization and Artificial Intelligence, subjects on which he has published extensively. As an archaeologist, he has participated in excavations in Spain, Portugal, Italy, Syria, Nicaragua and Argentina. Nowadays, he is Principal Investigator of the project “Experimentation and development of advanced artificial intelligence techniques for the computer simulation of social dynamics and historical evolution “, funded by the Ministry of Science and Innovation within National Plan for R & D, 2009.
Jason Barr’s research interests include urban economics, industrial organization and computational economics.
Andrew Barto’s research interests center on learning in machines and animals. He has been working on developing learning algorithms that are useful for engineering applications but that also make contact with learning as studied by psychologists and neuroscientists. Although he makes no claims to being either a psychologist or a neuroscientist, he spends a lot of my time interacting with psychologists and neuroscientists and reading literature in those fields. He feels strongly that new developments should be integrated as closely as possible with the state-of-the art in as many of the relevant fields as possible. It is also essential to understand how new developments relate to what others have done in the past.
Michael Barton’s research interests focus on long-term human ecology and landscape dynamics with ongoing projects in the Mediterranean (late Pleistocene through mid-Holocene) and American Southwest (Holocene-Archaic). He’s done fieldwork in Spain, Bosnia, and various locales in North America and have expertise in hunter/gatherer and early farming societies, geoarchaeology, lithic technology, and evolutionary theory, with an emphasis on human/environmental interaction, landscape dynamics, and techno-economic change.
David Basanta’s research interests include evolutionary dynamics, game theory, individual based models, spatial models, networks, and tumour microenvironments.
Finn Bastiansen research interests include the ecology of diseases, sociobiology (especially of social insects), agent-based models, and currently, modeling the fox tape worm.
Harold Batchelder’s current research focuses on coupling of physical circulation models of ocean transport with nutrient-phytoplankton-zooplankton ecological models and individual-based models of zooplankton energetics and demography; biological-physical interactions in the pelagic and intertidal environments.
Stefano Battiston’s research interests include systemic risk in financial networks (cascades of bankruptcy and propagation of financial distress); the evolution and structure of economic Networks (ownerships, boards of directors, production, supply, credit); and beyond on-line social networks (collective evaluation, trust, recommender systems).
Michael Batty’s research focuses on the development of computer based technologies for cities, and he has worked recently on applications of fractal geometry, cellular automata, and agent-based models to urban structure.
Amy L. Bauer’s research focuses on multiscale mathematical and physics based theoretical models of complex systems. Dr. Bauer has developed a multiscale model of tumor-induced angiogenesis that uses multiple modeling techniques to integrate tissue, cellular, and molecular scale dynamics. Synthesizing a large body of compartmentalized research on angiogenesis, her model is the first to exhibit emergent, characteristic phenomena in angiogenesis, including branching, anastomosis, and the brush-border effect, thereby providing a means for in silico evaluation and design of new approaches for treating cancer and other angiogenesis-dependent diseases. Bauer’s other research interests include infectious diseases (co-infection of HIV/TB), blood flow, self-organizing systems, agent-based models, large-scale atomistic simulations, and molecular dynamics.
Ana Lúcia C. Bazzan research include the use of game-theoretic paradigms for Coordination of Agents (Minority Game, Iterated Prisoner’s Dilemma, public goods game, congestion games, etc.), learning in MAS, agent-based simulation, artificial societies, complex systems, bioinformatics, traffic Simulation and control, pedestrian simulation, swarm intelligence, and diagnosis.
Mark Bedau’s research interests include dynamical emergent processes; measuring and visualizing evolutionary dynamics; evolutionary design of chemical systems; the creativity of evolution; cultural evolution and the evolution of technology; the nature of life; the science of creating life from scratch (protocells); and social and ethical implications of recreating life.
Stephen Benard’s research interests incude social psychology, social networks, applying agent-based modeling, intergroup conflict & cooperation, gender, stratification/inequality, and theory.
Itzhak Benenson’s current research focuses on theoretical and applied aspects of urban and regional dynamics, residential distribution in the city, urban and regional planning, urban traffic and parking and road safety.
David Bennett’s research are multidisciplinary, focusing on interactions that occur among system components, which often produce complex, nonlinear responses that would not have been foreseen through the analysis of individual subsystems. Recent research projects include the use of evolutionary algorithms and multi-agent based simulation to understand the impact of management decisions on the migratory behavior of elk.
Uta Berger’s research interests include: dynamics of complex biological systems; strategies of ecological modelling; development of ecological concepts; evaluation of ecological parameters; individual-based, spatially-explicit modelling; dynamics of tropical and subtropical coastal ecosystems (particularly mangrove forests); succession of plant systems; interactions of sessile organisms; risk assessment of management scenarios, disturbances, and long-term changes of environmental factors on the population dynamics of key species in tropical ecosystem; dispersal of terrestrial, semi-terrestrial and marine organisms.
Catherine A.A. Beauchemin’s Catherine A.A. Beauchemin’s research interest is in self-organizing systems, and more particularly in mathematical and computational modelling of infectious disease dynamics. She is also the developer and maintainer of the MASyV (Multi-Agent System Visualization) software package which provides a GUI framework and function library to easily construct agent-based simulations without having to code the GUI aspect which is instead handeled by MASyV.
Ravi Bhavnani’s research explores the micro-level dynamics of participation in civil violence, with particular attention to the roles of ethnicity, natural resources, social capital and governance. Relying on agent-based computational modeling and disaggregated empirical analysis, his work underscores the endogenous relationships among the diverse characteristics, beliefs, and interests of relevant actors; social mechanisms and emergent social structures that shape attitudes, decision-making and behavior; and patterns of violence. His current research more closely integrates agent-based modeling and micro-level empirical analysis. A first set of evidence-driven models investigates how ethnic geography—the spatial the distribution of individuals from nominally rival ethnic groups—shapes violence.
Ling Bian’s research interests are in the integration of GIS with environmental modeling. Her current research projects are in three areas: (1) Individual-based epidemiological modeling, (2) Inter-operable environmental models, and (3) Geographic image retrieval. She teaches courses in GIS, remote sensing, geostatistics, GIS for environmental modeling, and a seminar on objects and fields.
Reinaldo Bianchi’ research interest are in artificial intelligence; machine learning: reinforcement learning, learning in multi-agent systems; robotics; computer vision: vision-guided robotics, and learning in computer vision.
Mark Birkin’s major research interest is in simulating social and demographic change within cities and regions, and in understanding the impact of these changes on the need for services like housing, roads and hospitals.
Dan Birks’ research interests include investigating generative models of crime occurrence: environmental criminology and artificial intelligence
Mike Bithell’s interests include techniques for dealing with irregularly distributed data in three dimensions; simulation of discrete particle flows and their interactions with fluids; multi-agent simulation models of population dynamics and the emergence of structure in complex systems; and generation of robust models for socio-economic systems and their relation to environmental change.
Georgiy Bobashev’s research has focused on building ABMs for a while (heroin markets, alcohol use, cancer, HIV spread, injecting drug use, influenza spread, etc.) but his current focus is modeling substance use.
Riccardo Boero’s research interests focus on agent based models in economics and sociology, with application to industrial systems, regional economies, local communities and cooperative dynamics. Further research interests are on the empirical microfoundations of ABMs, on behavioural and experimental economics and on neuroeconomics.
John Bolte’s research interests include alternative Futures Analyses for Land Use Planning and Sustainability; mathematical modeling and spatial simulation of environmental and agricultural systems; geographic Information Systems-based spatial modeling; and artificial intelligence applications in Bioresource management.
Eric Bonabeau is Chief Executive Officer and Chief Scientific Officer of Icosystem Corporation. His research interest focus on the commercial application agent-based modeling to business ecosystems.
Irene Bonafine is a Phd student in Economics at the University of Turin. She is studying the evolution of the interbank payment systems and the possibility that systemic risk can cause disruption in the whole financial system. She uses both network analysis and simulation, since netowork offers a static description of the system, while simulative approach allows to mimic its functioning.
Mark Borsuk’s research interests include decision theory; integrated systems modeling and management; Bayesian statistics, uncertainty analysis; risk assessment; valuation methods; imprecise probabilities; and sustainability science.
Tibor Bosse’s research focuses on agent-based modelling of human-related processes (e.g., attention, emotion, and workload). His models are used both theoretically and practically (e.g., ambient intelligence, human factors design, and virtual environments).
Vicent J. Botti’s research interests include architectures and platforms, development technologies, agent-based social simulation, agent-based intelligence fabrication systems, multiagent adaptive systems, agreement networks, and decentralized services management.
François Bousquet’s research focuses on agent-based simulation.
Damian C. Brady’s research focuses on the spatial and temporal dynamics of water quality and organism behavior determine exposure and dictate the extent to which poor water quality impacts habitat function. My work focuses on making the connection between water quality and living resources using numerical models that incorporate water quality monitoring and the ecophysiology of the affected organisms.
Jeffrey M. Bradshaw’s research includes: adaptive policy management for network security and human-automation teamwork; biologically inspired robotics; computational and philosophical foundations; distributed computing; expertise studies; human-centered displays; human-machine collaboration using; natural language interfaces; knowledge discovery, data mining, modeling, sharing, and representation; security and information assurance; work system design; agent-based modeling.
Olivier Brandouy’s research topics are Agent-Based Computational Finance, Portfolio Management and Complexity in Finance.
Jeffrey Brantingham’s research interests include human behavioral ecology and the evolution of modern human behavior (e.g., semi-autonomous systems–technology, mobility and foraging strategies, social organization and complex symbolic behavior). Theoretically, he is interested in how each of these systems are organized and evolve. Methodologically, his interests focus on agent-based simulation modeling as a tool for developing hypotheses that may be tested against the archaeological record.
Patricia L. Brantingham’s research interests include Computational criminology; pattern theory; environmental criminology; crime prevention through environmental design; criminal justice planning; and policy evaluations.
Paul J. Brantingham’s research interests include computational criminology; environmental criminology; ecology of crime; crime analysis; historical criminology; comparative criminal justice; and legal aid and related matters.
Jean-Pierre Briot’s research interests include: the design of adaptable software (e.g., calculi, languages), architectural (e.g., components and reflective architectures), distribution (e.g., fault-tolerance), and intelligent control (e.g., agents, cooperation). He is also interested in music (improvisation, interaction, retrieval) as well as the use of advanced computer/information techniques to touch important issues of environmental planning and its related issues (see e.g., the SimParc project).
Dan Brown’s research interests include land use change and its effects on ecosystems and on human vulnerability. His”work connects a computer-based simulation (e.g., agent-based modeling) of land-use-change processes with GIS and remote sensing based data on historical patterns of landscape change and social surveys. We are working to couple these models with GIS-based data and other models to evaluate consequences of change. We are also working to understand the ways in which land-use decisions are made. Collaborative research investigate the effects of spatial and social neighborhoods on the physical and social risks on human health.”
Jim Bown is interested in one of the major challenges in ecology of linking function measurable at the scale of the individual, for example time to reproduction, to patterns emergent at the scale of the community, for example coexistence of different species. Individual-based modelling offers a mechanism to link across scales and we have developed a generic theoretical framework to describe such complex systems. Individuals are defined in terms of their behaviour, or traits. These individuals are located spatially and temporally within an environment and interactions are mediated through this environment. This framework has been successfully applied to plant ecosystem dynamics and fungal colony growth.
Shawn Brown’s research interests include agent-based modeling, infectious disease spread, mitigation of pandemics, supply-chain dynamics of vaccine cold chains, and high-performance computing.
Elizabeth Bruch’s research Interests include agent-based/computational modeling, discrete choice modeling, statistical evaluation of complex computer models, residential segregation and neighborhood change, and the relationship between individual behavior and population processes.
Joanna J. Bryson’s research includes making NI modelling easier: development methodologies, action selection and agent-based modelling; individual learning; social behavior; social learning and cultural evolution; biological evolution and individual development; naturalistic emotions; cognitive systems: robots, intelligent spaces, VR avatars and computer game AI.
Aleksander Byrski’s research interests focuses on nature-inspired computation (global optimization), agent-based distributed computation, artificial intelligence.
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