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: 45
Patricia L. Mabry is a Senior Advisor in the Office of Behavioral and Social Sciences Research (OBSSR) at NIH. Dr. Mabry leads the systems science programmatic activities for OBSSR. She is committed to developing resources and creating opportunities for the NIH investigator community (and beyond) in order to encourage and support the development of behavioral and social science research projects featuring interdisciplinary and Systems Science approaches . Since joining OBSSR in November 2005, Dr. Mabry has been instrumental in catalyzing interest in and support for systems science across the 27 institutes and centers that comprise NIH. She also runs a Listserv: Behavioral and Social Science Research Systems Science Listserv that is especially relevant to the Agent-Based Modeling community.
Charles Macal’s research interests focus on developing computational modeling and simulation tools for complex systems and to solve problems in a variety of fields, including energy and national security. He is a principal investigator for the development of the Repast agent-based modeling toolkit.
Paul Macklin’s are in mathematical biology and oncology, using computational techniques. He develops agent-based (individual-based) models at the cell scale, continuum models at the tissue scale, and multiscalar links between these approaches. He is also interested in solving nonlinear elliptic partial differential equations on arbitrary moving domains (e.g., in tumour growth).
Michael Macy’s research interests include collective action, emergence of norms, dynamic networks, and agent based modeling.
Savi Maharaj’s research interests focus on the use of simulation techniques, including agent-based simulation and virtual worlds, to understand real-world socio-economic phenomena. She is currently collaborating with Adam Kleczkowski from Mathematics on a project using agent-based simulation to model the effect of human behavioural changes on the spread of disease epidemics across a spatial network. Their models include consideration of the economic cost of behavioural changes (for example, if people stay home from work to avoid infection, there is cost to society), in relation to the economic benefit from reducing the size of the epidemic.
Gregory R. Madey’s research interests include emergency operations management; bioinformatics, biocomplexity, modeling epidemiology, health informatics; agent-based modeling and simulation; cyberinfrastructure, virtual research and engineering; organizations, collaboratories; e-science, e-engineering and e-commerce; chaos and complexity; open source software; data warehousing, data mining and web mining web intelligence and semantic web; web services, service oriented architecture; and large scientific databases.
Stina Mair, is currently a postdoc at UC Berkeley in the school of public health through an NIAAA-sponsored postdoc training program at the Prevention Research Center. Her background is in social epidemiology. She working on putting together a K01 NIH grant focused on methods to study the co-occurrence (and bidirectional causation) between depression and substance use. A major part of my proposal revolves around learning to use complex dynamic systems (specifically agent-based models) to study depression/substance use links.
Vincent Maire’s research interests include plant ecology: approach of functional traits, from individual to community scales; plant ecophysiology: plant strategies for nutrients acquisition and utilisation, coordination of leaf photosynthesis; microbial ecology: microbes stratgies for soil organic matter decomposition, priming effect; modelling: Individual based model, and aggregated model of population dynamic, system of differential equations
Carlo C. Maley’s research focuses on applying evolutionary and ecological theory to neoplastic progression and cancer therapy in order to modulate the evolution of neoplastic cells and thereby prevent cancer and its relapse. His lab takee three, mutually reinforcing approaches to these problems: computational simulations to explore hypotheses, data mining of (application of evolutionary theory to) genetic data from neoplasms, and evolutionary experiments in tissue culture.
Nick Malleson’s research interests include: Agent-based modeling, GIS, Geography of Crime, Social Simulation, and Geography.
Ed Manley’s interests are in the following areas: Complex systems and interactions, Emergent behaviours, Agent-based Modelling, Crowd behaviours, Transport, GIS (Geographic Information Systems).
Steven Manson’s research combines environmental research, social science approaches, and geographic information science to understand complex human-environment systems.
Yuri S. Mansury’s current areas of research are multi-agent modeling of complex city systems, input-output (I-O) and social accounting matrix (SAM) applications to disaster analysis, and unbalanced regional growth.
Gianluca Manzo’s research includes computational sociology using agent-based models.
Elio Marchione is PhD student at CRESS. He holds a degree in Mechanical Engineering (University of Naples “Federico II”, Italy) with a thesis on Bifurcations and Chaos Theory and an MSc in Agent-Based Computational Economics (University of Essex, UK), with a thesis on simulating and testing social policies in order to increase educational levels and job opportunities within rural Mexican communities.
Achla Marathe’s research includes focuses has been on experimental, behavioral and network economics. Application areas include epidemiology, social networks, electricity markets and spectrum markets.
Madhav Marathe’s research interests include interaction-based modeling and simulation of large, complex biological, information, social, and technical (BIST) systems; design and analysis of algorithms and computational complexity; social networks, graph theory; wireless and next generation communication networks; high performance and grid computing, especially pertaining to BIST systems; and computational epidemiology and computational economics.
Carlo C. Maley’ research interests include: (1)Applying phylogenetic methods to measure somatic evolution in neoplasms (e.g., in Barrett’s Esophagus). (2) Computational modeling of neoplastic progression. (3) Harnessing clonal evolution to prevent cancer and cancer mortality. (4) Measuring genetic diversity in neoplasms and testing if it predicts both progression and therapeutic resistance.(5) Peto’s paradox: Why don’t whales, with 1000X more cells than humans, get 1000X more cancer? (6) Single cell, high throughput sequencing of the (epi)genetics of neoplasms. (7) Therapeutic resistance in acute myeloid leukemia (AML).
Davide Marchiori’s resrearch interests are experimental economics, behavioral game theory, and agent-based modeling. Specifically, in his current research he addresses issues of learning and generalization in repeated decision tasks. He has proposed an original neural network-based model of learning and a new solution concept for normal form games called Net Reward Attractions (NRA) Equilibrium. These contributions show that insights from psychology and neuroscience can be successfully used to design agent-based models that help improve our understanding of human choice behavior in strategic interactions.
Professor Philippe MATHIEU is the leader of the Multi-Agent Research team at the LIFL Computer Science lab (Lille1/CNRS) at Lille1 university. http://www.lifl.fr/SMAC His research topics include behavior modelling in individual-based systems. He studies Artificial Economics where he models financial markets and trading behaviors. The purpose of this research is to provide tools for the evaluation of financial or economical hypotheses regarding market efficiency. He is the main designer of the ATOM platform http://atom.univ-lille1.fr . He also works on situated agents applied to simulation platforms and video games, in which he promotes Artificial Intelligence in the behavior of avatars. The main issues are the genericity of behaviors, the formation of coalition and team strategies. He states that the individual-based approach must focus on Interactions instead of agents in order to deal with large scale systems with many different behaviors. His research topics are situated at the crossroads of Artificial Intelligence and Software Engineering. He his one of the designers of the MAGIQUE and IODA platforms.
Robin Matthews’s current research interests are in the processes of change and adaptation in coupled socio-ecological systems in response to external drivers, and in using complex adaptive systems ideas and integrated modelling approaches, particularly agent-based and network models, to understand these processes.
Christopher May’s research interests include behavioral and cognitive modeling using agent-based modeling.
Peter McBurney’s research interests include multi-agent systems; agent communications languages and interaction protocols; agent-oriented software engineering; argumentation theory; complex decision-making, and its automation; market mechanism design; trading agents, options and derivatives; agent-based simulation modeling, particularly of economic and social domains; and complex systems theory and application.
John McManus’ current research involves the development of coastal hydroecological disturbance models using the lattice-Boltzmann method, which is a form of ABM extended from an early automaton method. He has taught an interdisciplinary graduate course in object-oriented programming and agent-based modelling for seven years. Thus far, seven of the students from the course have incorporated ABMs into their dissertations and at least three more ABM based dissertations are underway. Recent publications from his lab have included ABMs of coral disease dynamics, coral planulae behavior, and competitive interactions of macroalgae using 3D growth simulations.
Massimo Menichinelli’s research focuses on activity theory, agent-based modeling, co-design, and co-design/co-creation/participatory design.
Ugo Merlone’s research interests include mathematical approaches to organizations; micro behavior of artificial agents; financial structure and collusion; social networks dynamics; and non linear optimization on polytopal feasible sets.
Sara Metcalf’s research interests in simulation science include traditional system dynamics, spatial dynamic models, and agent-based representations of social influence, local access and migration dynamics. As a faculty member of the University at Buffalo (UB) Geography Department, she uses a variety of software (primarily AnyLogic, but also Vensim, Stella, and NetLogo) to simulate urban system dynamics using a mix of continuous stock-flow structures and discrete agents. In addition to topical courses in urban and human geography, Dr. Metcalf teaches a cross-listed undergraduate and graduate geography course (GEO 493/593) on Dynamic Modeling of Human and Environmental Systems.
In addition to developing new methods in Theoretical Cell Biology, Michael Meyer-Hermann’s research aims at understanding the adaptive immune system and the interaction of the immune and the nervous system. He wants to establish mathematical methods as state-of-the-art tool in Biology and Immunology to improve research of diseases and therapies.
Armin R Mikler’s research interests include computational epidemiology (modeling/simulation of infectious disease outbreak); intelligent agents and multi-agent systems; heuristic and biologically inspired approaches for coordinating agents; agent-based modeling and simulation; bio informatics, health informatics, environmental informatics; service assurance and security in networks/distributed systems; tools and middleware for distributed and collaborative computing environments (i.e. grid); intelligent traffic management in large communication networks; and quality of service guarantee in complex high speed infrastructures
Segismundo Samuel Izquierdo Millán’s research interests include learning in games, game theory, agent-based modelling, and artificial intelligence.
Microeconomics, Econometrics, Markov chains, Stochastic processes.
James Millington’s research focuses on vegetation succession-disturbance dynamics and human decision-making in multifunctional forest and agricultural landscapes of North America and Europe using statistical, simulation and spatial modelling tools. He also has interests in the different epistemological roles models and modelling can play in furthering geographical understanding.
John H. Miller’s research focuses on understanding on emergent behavior in complex adaptive social systems. He views understanding the behavior of complex adaptive social system composed of interacting agents is one of the great challenges of science. In his view, traditional reductionistic scientific approaches have shown only a limited ability to pry away secrets of complex adaptive social systems.
E.J. Milner-Gulland’s research is at the interface between ecology and human behaviour. She is motivated both by the challenge of understanding the dynamics of ecological and social systems and by the desire to ensure that our interventions to conserve biodiversity are effective and robust to uncertainty. Her research is both grounded in practical action and based within a strong theoretical and analytical framework, is genuinely interdisciplinary, using methodology from both natural and social sciences, employing both empirical and modelling approaches (including agent-based modeling).
Ali Minai’s research focuses on (1) the elucidation and possibly control of the functioning of real complex adaptive systems by building mathematical and computational models; obtaining insights from existing complex systems in designing better, smarter, more efficient engineered systems.
Dan Miodownik’s research interests include the emergence, unfolding and regulation of anti-regime mobilization, protest behavior, ethnic polarization, and civil wars. He also uses agent-based modeling in particular to assist comparative political analysis of these and other complex social phenomena.
Abdel-Illah Mouaddib’s research interests include:Progressive reasoning, decision theory, Intelligent planning and control, reasoning under uncertainty, planning, learning and coordination in multiagent decision process, and decentralized decision theory and game theory.
Faria Nasiri Mofakham’s research includes negotiation/bargaining/auction, strategic decision making, game theory, evolutionary game theory, electronic commerce/marketing, multiagent systems, distributed artificial intelligence, data mining, machine learning chaos, fractals, mobile electronic commerce/marketing/payment/banking, and security in mobile electronic cyberspace.
Sarit Moldovan’s research focuses on various processes associated with the diffusion of new products into markets. Her research interests include word-of-mouth communications, consumer types (innovators, opinion leaders), complexity in marketing, and resistance to innovation.
The general theme of Sung Joon Moon’s research lies in modeling and multiscale simulation of complex systems (not merely “complicated” systems!), physical, biological, or artificial, using novel methods of computational mathematics. Currently, he study a few different systems, particularly those with physical applications and direct experimental comparisons, including (but not limited to): (1) fluidized granular materials (collections of macroscopic particles interacting via contacts), (2) multiphase flows of gas-particle mixtures (multiscale, hybrid simulation of vibrated gas-fluidized beds of fine, cohesive powders), and (3) modeling and multiscale analysis of synchronization phenomena in biological systems, such as coordinated movement of animal groups.
Melanie Moses’ research interests focus on complex biological and information systems, the scaling properties of networks, and the general rules governing the acquisition of energy and information in complex adaptive systems. She studies the efficiency of growth and information exchange in biological and computational networks, and how the size and topology of networks determine emergent system behavior. She draws insights, tools and approaches from different disciplines in an effort to find unifying principles in the natural world.
Scott Moss is currently working with multi-disciplinary team modelling multi-agent interaction in complex institutional and technological environments. He is developing models to simulate strategic decision-making processes, model complex markets, extend such areas of soft management theory as soft systems methodology, the literature on core competencies and the whole area of the resource-based view of the organization to include more formal and computational elements.
Eitan Muller’s research interests include Hi-Tech marketing, innovation diffusion and the evolution of markets for new products, and social networks.
Jean-Pierre Müller’s research interests include the emergence of individual and collective behaviour. His long term goal is to elaborate a theoretical understanding of human knowledge. He is currently managing two research groups which plan to merge in the future: (1) autonomous systems: providing foundations to autonomous behavior, including adaptiveness and subjective representations; (2) multi-agent systems: providing foundations to collective behavior.
Bill Murdock is a computer scientist in the Watson Research Center at IBM. I work on the Watson research project. The technology underlying Watson is named DeepQA, a complex combination of capabilities that include elements of natural-language processing, information retrieval, knowledge-based reasoning, and machine learning. His Ph.D. work focused on a project called REM which uses functional models for self-redesign in the context of complex, dynamic environments such as manufacturing and web browsing.
Phil Murgatroyd’s is currently working as part of the AHRC/ESPRC/JISC funded Medieval Warfare on the GRID project. His PhD, focussing on the use of agent-based modelling in investigating the logistical organisation of the Byzantine army on its march to the battle of Manzikert (1071) and its effect on the Anatolian communities that supplied the army. Phil has also worked as part of the Anglo-American Project in Pompeii using Blender to produce 3D visualisations of Pompeian domestic properties from excavation data, architectural analysis and historical records.
“John T. Murphy’s area of interest is, broadly, technology and the social sciences. Within social science he focus mainly on Anthropology and especially Archaeology; by ‘technology’ I include databases, simulation models and visualization tools, as well as specialized analysis tools like Geographic Information Systems and Social Network Analysis. These tools have opened doors for new kinds of research; he is interested in how researchers use them, and how they shape the research that is done with them. Ultimately he is also interested in how the tools can impact people’s lives: what new kinds of things can be known using these tools, and to what purposes this new knowledge can (or should) be put.
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