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: 30
Vincent Danos’ research interests include foundational approaches to quantitative biology; syntaxes for representing, modelling, and understanding large protein networks; concurrent and stochastic systems.
Nuno David’s research interests include computational social science, social science methodology, information society, e-Government,
Simulation and complexity sciences, Programming languages, and the Philosophy of Computer Science.
Paul Davidsson’s research interests include the theory and application of agent technology, information systems, and machine learning. Current application areas include: traffic and transport systems, logistics and supply chain management, and district heating systems.
Herbert Dawid’s research interests include economics of innovation, industry dynamics, dynamic Issues in economic policy design, agent-based computational economics, and evolutionary game theory.
Richard Dawson’s research focuses on the analysis and management of risks in civil engineering and environmental systems. It is a cross-disciplinary endeavour, involving collaboration with leading researchers, consultants and government agencies nationally and internationally. A remarkable feature of his work has been its application at broad scales – recognition that engineering systems have a much wider influence than their physical form and need to be considered within their broader environmental and social context. This engineering philosophy has become known as Earth Systems Engineering and he is a founder member of the Centre for Earth Systems Engineering Research (CESER) at Newcastle University. He has developed an online agent-based model for flood incident management with the first phase of development described here.
Scott de Marchi specializes in the fields of computational political Economy and other mathematical methods, individual decision-making, the presidency, and public policy. The glue that holds these interests together is a fascination with strategic action under conditions of incomplete information. Instead of postulating that everything about a game is known a priori, his work focuses on situations in which agents use limited resources to learn as they go along. He also maintains an active interest in mathematical methods, especially insofar as these fields reflect upon human and artificial intelligence Ii.e., induction and analogy-making, classification problems, algoithms for solving extensive game forms, etc.).
Jeffrey S. Dean research interests include archaeological chronometry and tree-ring dating; paleoenvironmental reconstruction and human behavioral adaptation to environmental variability; prehistoric social organization; computer modeling of human behavior.
Don DeAngelis’ research interests include population dynamics; age and size structure of populations; food web theory, ecosystem theory; forest dynamics; nutrient cycling; modeling of animal behavior and movement; evolutionary theory; developing individual-based population models for populations of fish and other animals.
Guillaume Deffuant’s research includes Social simulation, e.g., the IMAGES project that he coordinated (also see PATRES), he participated in the development of continuous opinion dynamics models. These models exhibit stylised facts which can be related to the diffusion of extreme opinions in a society; cognitive science in general, and more particularly the role of empathy in human cognition; Machine Learning and Viability Theory.
Hiroshi Deguchi focuses on agent-based social system science, ranging from the design of urban environments to economics.
Thomas Deisboeck’s research interests are focused on the development of novel experimental and computational modeling and simulation platforms studying (brain) cancer as a complex dynamic self-organizing and adaptive biosystem. The primary goal of this collaborative and highly interdisciplinary work is to build a set of multiscale modeling algorithms, which allow us to simulate tumors over several orders of magnitude for both experimental and clinical cancer research purposes.
Mark d’Inverno’s research interests include the appplication of intelligent agents in biology, music, art and design (e.g., agent-based modelling and simulation of the self-organising system of adult stem cells). He is really interested in how you build and sustain interdisicplinary teams to tackle current local and global problems. The theory and practice of Intelligent agent and multi-agent systems, social modelling, and Formal methods specifying the design and architecture of software systems.
Daniel DeLaurentis’ research interests include characterization, representation, and quantification of the impact of uncertainty on aerospace design problems and he agent-based modeling, and other approaches to address these multi-disciplinary, multi-system problems.
Sebastiano Delre’s research interests include market dynamics, spread of innovation, social networks, entertainment industries, social simulations, and agent-based models.
Nicolas Dendoncker’s main research focus is on developing agent based models (ABM) of land use, environmental change and ecosystem services. These models are combined with the development of scenarios to explore the response of individuals and society to different drivers of future environmental change. Participatory approaches are implemented and stakeholders are involved from the beginning to the end of the project. The impacts of these landscape changes on ecosystem services are assessed and sustainable development pathways are proposed. In some projects, Ecosystem Services are explicitly valued and quantified. Case studies include European as well as Southern countries.
Robert A. Desharnais’s research strategy is to integrate empirical data into a variety of models of the intertidal zone including stochastic cellular automata, mean field ordinary differential equations, and agent-based models. Rates of prey recruitment, growth, and mortality are varied along environmental gradients of tidal height and wave exposure. These rates are also affected by local interactions among prey. The functional forms used to determine the transition rates come from the empirical data. Simulations of the model generate size frequency distributions over space that can be compared to real patterns from field observations. An description of our research approach can be found in a contribution to a Special Feature on “Paradigms in Ecology” (Robles and Desharnais 2002, Ecology 83: 1521-1536 [reprint-pdf-442KB]). Check out our web site on Modelling Spatially-Structured Dynamics for Benthic Predation for more details.
Christos Dimitrakakis is particularly interested in problems which are very complex. This can occur when we are dealing with continuous spaces, with partial information and finally with multiple agents or sources of information. One of his main current research interests is obtaining algorithms with low online regret for sequential decision making that employ a Bayesian framework and approximate planning. This is a particularly interesting field as it combines elements from stochastic programming, Bayesian inference, Monte Carlo planning and PAC learning. It becomes especially challenging when multiple agents are involved as the coordination becomes difficult. Other interests include efficient network routing under malicious conditions, adversarial models of classification, the handling of uncertainty in databases, efficient policy representations in reinforcement learning, low-regret auctions, optimal stopping problems, the exploration-exploitation trade-off and the relations between ensemble methods, empirical Bayes methods and distibution-free methods.
Gennaro Di Tosto’s research interests include social behavior, (e.g., cooperation and altruism), its evolutionary basis and its cognitive prerequisites. He has applied agent-based models to the study of altruistic behavior abd is now studying the factors that can promote cooperation in on-line reputation systems.
Dave Dixon’s primary research interest is in agent-based computational economics (ACE) models production of renewable and nonrenewable resources, including environmental impact, policy, and climate change issues. Additional ACE research examines network behavioral and game theoretical models and behavioral models of experimental results. Additional research areas include non-market and contingent valuation of environmental amenities; microeconomic modeling; expected and non-expected utility.
Begzod M. Djalilov’s research interests include multi-agent modeling of deforestation of degraded lands in Uzbekistan: consideration of social-economic and environmental factors.
Yaniv Dover’s research interests currently focus on complex systems and social networks.
Marco Dorigo’s research includes hierarchical heterogeneous swarm systems, autonomic service-component ensembles, engineering swarm intelligence systems, medical imaging using bio-inspired and soft computing, and, metaheuristics for complex optimization problems.
Giovanni Dosi research interests include using evolutionary agent-based models to investigate the micro-level basis business performance and growth.
Suzana Dragicevic’s research interests include: Modeling Dynamic Spatial Processes: The main objective of this research investigation is to couple advanced spatial models into the GIS framework to enhance the modeling and understanding of the dynamic spatial processes that occur in land-use change and urban growth; Spatial Decision-Making: The first objective of this research is the integration of multi-criteria and knowledge-based decision-making models in GIS for enhancing land use management. The second objective is the development of GIS bases tools on the internet to support community involvement and public participation in natural resources decision-making; and Spatial Modeling in Medical Geography: The objective of the research is to develop advanced modeling and spatial exploration tools within a GIS framework in order to predict the propagation behavior and diffusion of diseases at local, national and global scales.
Dirk Drasdo’s research interests include: modeling of tissue formation and regeneration processes, modeling of tumor growth, individual-based models (deformable Brownian-particle approaches, cellular automata), evolutionary optimization in multicellular systems, reconstruction and modeling of gene regulation networks, tissue folding and early animal development, and
Anne Dray’s research aims at developing a negotiation support tool based on Agent-Based Modelling and Role-Playing Games joint use to facilitate equitable water allocation in Tarawa (Republic of Kiribati).
Rafal Drezewski research interests include evolutionary algorithms, multi-agent systems, artificial life, agent-based modeling and simulation, and neural networks.
Alexis Drogoul’s research focuses on individual based simulation of complex systems (GAMA platform) and the use of self-organized, distributed, robotic systems for the observation of disasters (AROUND project).
John Duffy’s research concerns the microfoundations of macroeconomic activity. He wants to understand/explain how groups of individuals (societies) make economic decisions and forecasts and how they resolve coordination problems. He has attempted to address such questions using theoretical models, computational methods, and controlled laboratory experiments with paid human subjects.
Chris Dugaw’s research interests include mathematical modeling, individual-based modeling, ecological and population models, dynamical systems, stochastic processes, and statistics. Chis Dugaw is director of the program on Individual-Based Modeling and Ecology at Humboldt State University.
A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z