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
Keiki Takadama research focuses on emergent phenomena caused by the interaction among agents implemented by computer programs. His lab explores (1) multiagent systems where agents cooperates with each other to solve given problems and (2) social simulation where agents interacts according to their own goals.
Fugo Takasu research interests over general ecological and evolutionary biology. Main topics I am working now are 1) coevolution in avian brood parasitism, 2) mechanisms of range expansion of biological species, and 3) modeling of animal behavior using individual based model. All of these are of theoreitcal ones, studied by constructing and analyzing mathematical models.
Milind Tambe’s research is focused on agent-based and multi-agent systems: systems where multiple intelligent agents, including software agents, virtual agents in interactive simulations, robots and people interact. He is interested applying research in multiagent systems to real-world problems, particularly problems of security, safety and sustainability, and advancing fundamental research to address these needs.
Wenwu Tang’s research interests include: GIS & spatial analysis and modeling; agent-based models and spatiotemporal simulation; cyberinfrastructure and high-performance computing; complex adaptive spatial systems; landscape ecology; and land use and land cover change.
Jan C. Thiele research interests include strengthening bioenergy regions (UP3: Spatial Informationsystems); decision support system – forest and climate change; modelling spatio-temporal dynamics of natural beech forests; and technical aspects of (individual-based) modelling (e.g. NetLogo-R-Extension).
Troy Tassier’s research focuses on complex systems in economics and particularly diffusion processes in social networks. He has published papers on the effects of referral hiring and social network structure on labor market inequality and segregation, the evolution of social networks to optimize job information flows, and how the structure of social networks influences the spread of fads and fashions. His current research continues the study of job information networks as well as additional topics such as the spread of infectious diseases across social networks, how the structure of firms and other organizations influences problem solving capabilities, and mechanisms of public goods provision.
Richard Taylor research interests include norms and other social coordination mechanisms: market-based and community or participation-based arrangements, and how these impact on environmental systems (and the social groups that depend on them). He worked in the area of Agent-based modelling (Business and Management) at the Centre for Policy Modelling in Evolutionary and Adaptive Systems.
Gheorghe Tecuci’s research interests include instructable agents, multistrategy learning, mixed-initiative reasoning, modeling and knowledge acquisition, ontologies, knowledge engineering
Pietro Terna’s research includes the fields of artificial neural networks, economic, financial modeling, and social simulation with agents.
Takao Terano’s research interests include genetic algorithm-based machine learning, case-based reasoning, analogical reasoning, distributed artificial intelligence, cooperative agents, computational organization theory, and knowledge system development methodology.
Leigh Tesfatsion’s research focuses on (1) Agent-Based Test Beds for Restructured Wholesale Power Markets; (2) Agent-Based Computational Economics (ACE); (3) Flexible Least Squares; (4) Adaptive Computation Methods for Nonlinear Systems; (4) Trade Network Games; (5) Optimality and Efficiency in Open-Ended Dynamic Economies; and (6) Learning via Criterion Filtering.
Claudio Juan Tessone’s research interests include collective effects induced by heterogeneity in social and economic systems. Its impact on the overall robustness and adaptivity; opinion dynamics; network formation processes; effects of network topology in global dynamics; and stochastic processes (stochastic resonance and synchronization).
Stéphane Thanassekos’ primary research interest is the modelling of early life of fish. He is currently working with an individual-based model calibrated for larval Arctic cod (Boreogadus saida) in two Arctic polynyas (Northeast and North water). The temperature and prey fields experienced by modelled larvae throughout their lives are prescribed by their hatch dates. He developed a new method of model sub-sampling reproducing the low resolution of sampling at sea which drastically improves the model validation. This method can be applied to any model designed to reproduce limited observations of any organisms that can be aged. By increasing the precision in the comparison between model outputs and observations, this method indicates which improvements can be made in the model to increase its predictive power. Stephane is interested in applying this technique to other ecologically important polar fish species (e.g. Pleuragramma antarcticum, subject of his master thesis) or to fisheries management, for economically important fish species or crustacean larvae. He also has experience in population dynamics models and ecosystem models, and he is interested in coupling any IBM larval model to a prey dynamics sub-model.
Georgios Theodoropoulos’ research interests include: distributed simulation, distributed virtual environments, multi-agent systems, dynamic data driven application systems, and parallel vomputer architectures, from instruction-level parallel microprocessors, to multi-core machines, to cluster computers to Grid and peer-to-peer systems.
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Guy Theraulaz’s research interests include swarm Intelligence in natural and artificial systems, Self-organization in biological systems, Collective Behaviors and Collective Intelligence in animal and human societies, Systems Biology.
Peter Todd’s research interests include: (1) Simple heuristics for decision making, and how they capitalize on the structure of information in environments; (2) Evolution of behavior (experimental approaches to evolutionary psychology and computer simulations of simple organisms adapting to different environmental structures, both physical and social); (3) Emergence of environment structure through interactions of populations of agents following simple behavioral rules; (4) How people and other animals search for resources in time and space, from sequential search for mates or jobs to foraging for prey or parking spaces; (5) Artificial life approaches to music; and (6) Making decisions about food and eating, and cognition of consumption.
Chris Topping research areas include developing agent-based models and methodologies within applied ecology, environmental impact assessment, socio-ecological systems, and policy. Main focus is developing and testing complex multi-facetted ABMs and applying these for both academic and applied purposes. Model applications can be found in: Population level risk assessment for plant protection products and GMO crops; Impact assessment of changes in agricultural management, agricultural policy, land-use, & construction (e.g. wind farms); Theoretical population dynamics; Landscape population genetics; Plant competition and evolution; Conservation management; Complexity science. Designer and lead developer for the ALMaSS agent-based model system www.almass.dk.
Paul Torrens’ research includes geosimulation, spatial complexity, cellular automata, agent-based models, land-use and transport models, 3D visualization, and geovisualization.
Michael Townsley’s research interests include crime mapping and crime simulation.
Jeff A. Tracey’s research focuses on developing individual-based models (IBMs) and agent-based models (ABMs) and applying them to ecological conservation, sustainability, and planning problems. He is currently applying these models to the study of animal movement and its implications for functional landscape connectivity and wildlife disease dynamics.
Michael Travers’s research has had an overarching theme of developing agent-based modeling systems using graphical interfaces that allow programs to be expressed in on traditional ways.
Jan Treur’s research interests include: human-aware computing, ambient intelligence, augmented; cognition, human ambience; agent systems, computational modelling; cognitive modelling, cognitive neuroscience, cognitive science, dynamics of behaviour; biological modelling, complex adaptive systems, organisation modelling; philosophy of mind, mind-matter relationships; component-based development methods, AI and design; and requirements engineering, verification and validation; temporal semantics, logical foundations.
Klaus G. Troitzsch’s include social science methodology, modelling and simulation in the social sciences, multi-agent simulation in social science applications, stochastic processes, demography, nonlinear dynamics, synergetics and social sciences, axiomatization of theories in the social sciences, and computer science applications in public administration.
Kwok Ching Tsui’s research interests include non-gradient (cf. evolutionary) neural network learning technique learning, learning classifier systems, E-marketplace matchmaking agent, evolutionary agent negotiation, autonomy oriented computation, and information extraction in semi- and un-structured texts.
Maksim Tsvetovat’s dissertation research centered on the study of organizational change under environmental uncertainty and in the presence of hostile action. This work was accomplished by using agent-based models informed via empirical and theoretical social network analysis, while the agents themselves were powered by AI-based planning and reasoning algorithms. He has continued his work in modeling organizational change, as well as broader questions of evolution of social networks and social structure and applied SNA. Empirical/applied projects included studying campaign finance and its influence on election outcomes, identification of influential individual in online social networks (e.g. Twitter), and study of emergent social-semantic systems (i.e. folksonomies and folk-ontologies) as systems of norms of understanding and participation.
Paola Tubaro is an economic sociologist with interests in social networks and their impact on markets, organisations, consumer choice and health. Her research also includes work in the philosophy and methodology of economics and social science.
Kagan Tumer’s research focuses on learning and coordination in multiagent systems. Specifically, he investigates system properties and how to design (or “shape”) agent utility functions so that coordination can arise as a by-product of each agent aiming to maximize its own utility. Applications of this work include multi-robot coordination, air traffic control, distributed system health monitoring and sensor network coordination.
Andy Turner’s research interests include computational geography, eResearch, generating and analysing geographical data, and developing and linking geographical models.
Ian Turton research interests focus on the common theme of allowing users to gain access to data and the tools that allow them to make informed decisions. Much of my recent work has focused on using open standards and open source tools to allow the general public access to geospatial data.
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