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: 34
Mirsad Hadzikadic’s research includes complex adaptive systems, data mining, and machine learning.
Michael Haenlein’s research interests include customer relationship management (CRM), specifically customer prioritization, the calculation of customer lifetime value and customer social value as well as database analysis and marketing modeling.
The objective of Nilimesh Halder’s research is to evaluate the public health containment strategies for control, prevention and surveillance of infectious diseases especially dealing with an influenza pandemic (e.g. swine flu pandemic) and also deal with other human to human transmissible infectious diseases using an Individual Based Simulation Model.
David Hales’ research interests include developing approaches for growing reliable, decentralized systems – specifically peer-to-peer systems. The aim is to produce self-configuring, self-repairing and self-organising societies of peer nodes that execute on user machines. I want to harness desirable emergent properties of massive (millions of nodes) systems under conditions of high flux with nodes constantly entering and leaving the system, and possibly behaving maliciously. In these kinds of “anarchic environments” system behaviour needs to emerge “bottom-up” from the behaviour of individuals following their own rules. Imposition of central control is not an option and we can’t rely solely on the “hidden hands” of classical economic theory. So a synthesis is required between new kinds of social theory applicable to the artificial domain and distributed self-organising systems programming. Such a synthesis could transform, not just technology but, human societies in profound ways.
Lynne Hamill’s research focuses on dynamics of the relationship between personal communications and travel, using agent-based computer simulation modeling.
Ross Hammond’s expertise is in modeling complex dynamics of social, economic, and political systems using mathematical and agent-based computational methods. His current research topics include corruption, ethnocentrism, trust, behavioral epidemiology and obesity.
Nobuyuki Hanaki’s research interests include computational modeling, heterogeneous interacting agents, analysis of complex networks, applied game theory and behavioral economics.
Stephen Haptonstahl’s research interests reflect his breadth of experience with broad substantive and methodological interests. He studies U.S. national institutions with formal and computational models, Bayesian statistics, and laboratory experiments. In particular, he studis how incentives affect the flow of information in bureaucratic institutions and he develops tools used to form and test formal models of institutions. His work focuses on the interface between methods and formal theory, especially in the application of random utility/quantal response models.
Joseph F. Harrison is a PhD student in Computer Science at George Mason University. He works in the Autonomous Robotics Lab and my research focuses on multi-robot motion planning, agent behaviors, and evolutionary algorithms. He also works in the Center for Social Complexity building agent-based models of societies and doing social network analysis.
Samer Hassan (PhD) is an Assistant Professor at the Universidad Complutense de Madrid (Spain). He has carried out research in social simulation and artificial intelligence from positions in the University of Surrey (UK), Universidade de Lisboa (Portugal) and the American University of Science & Technology (Lebanon). He is the project coordinator of the collaborative distributed social network Kune. Coming from a multidisciplinary background in Computer Science and Social Sciences, he has 40 publications in those fields. As a social entrepreneur, he has co-funded the Comunes.org Nonprofit for open-source tools and applied research with social aims. His research interests include decentralised social networks, collaborative environments, agent-based social simulation, free/libre/open source software, modelling of social network communities, peer-to-peer production & organisation, the networking of social movements, and commons-based peer production.
Behrooz Hassani Mahmooei’s research focuses on two main research issues: agent based modelling of socio-economic consequences of climate change in special regions, and agent based modelling of economic conflicts specially over natural resources.
Scott Heckbert research interests include understanding sustainable ecosystems with agent-based models.
Peter Hedström research focuses on analytical sociology. He has a special interest in the analysis of complex social networks, particularly analyses seeking to explain how the structure of the networks in which individuals are embedded influence the collective outcomes the individuals bring about. He is also involved in developing Stata software for network analysis and agent-based modelling (w. Thomas Grund, Nicholas Harrigan, Lorien Jasny, and Yvonne Åberg). Philosophy of the social sciences, particularly theories of explanation, is another long-standing interest of his, and he is collaborating with Petri Ylikoski on several philosophy-of-science related projects.
Jane Heffernan’s research interest include mathematical immunology, mathematical epidemiology, immunology, epidemiology, differential equations, monte carlo simulation, probability, computer simulation, agent based model, infectious disease, immune system, T-cell, HIV, influenza, measles, and HPV.
Rainer Hegselmann’ reasearch focuses on Modeling, simulation, and philosophy of social dynamics (e.g., game theory and social dilemmas).
Charlotte Hemelrijk’s research interests include all aspects of self-organisation in social systems; the aim in modeling is to produce complex phenomena via the self-organization of individuals in their environment; animal systems include social systems of primates, fish and birds. Close comparison to empirical data is being made.
Alison Heppenstall’s research interests are focused on the development of AI methods for understanding processes and evolution of geographical systems. In particular I am interested in methods for incorporating human behaviour in individual-level models and developing approaches to improve synthetic population generation.
Cesáreo Hernández Iglesias’s research interests include include economic methodology and social simulation.
Todd Hester is a PhD student researching reinforcement learning and robotics, specifically looking at the exploration versus exploitation problem in reinforcement learning and working to apply it to large domains.
David Hiebeler’s research focuses on computational and mathematical models of populations spread across landscapes. These landscapes often include different types of habitat, arranged in various types of patterns. Planned applications of the models include modeling the spread of plants in forested landscapes, agricultural crop pests such as maggot flies in commercial blueberry fields in Maine with pesticides being applied in various patterns, and other invasive species such as Asian woodwasps. The models are also being applied toward studying the spread of malicious software such as computer worms or viruses in networks, as such software often uses biologically-inspired dispersal strategies.
Tom Hilton is an NIH extramural research program official at the National Institute on Drug Abuse who is interested in encouraging dynamic modeling in health services research – especially addiction. He is not a modeler, but he is relatively conversant having read a lot and seen numerous models in action. If you are interested in applying for an NIH research grant involving ABMs to: addiction recovery, treatment interventions, systems of care, systems of recovery support, or ways to use ABMs to extend existing data in time for longitudinal prediction, Contact him (Email: tom.hilton@NIH.gov; Phone: 301-435-0808). His role is to help you successfully apply for a grant.
Franziska Hinkelmann’s current research focuses on developing control theory within this framework. I am using an agent-based model of cytokine-directed clinical trials and am developing optimal control strategies for possible treatments of systemic inflammatory response syndrome (SIRS)/multiple organ failure (MOF).
Reiko Hishiyama’s research interests include intelligent information processing, agent-based simulation, and participatory design in science communication/business ethics & CSR/community involvement.
Mike Holcombe’s research interests include the development of the large-scale flexible agent modeling environment, FLAME.
John Holland research interests focus on the study of cognitive processes and complex adaptive systems in general, using mathematical models and computer simulation. Much of his research is published in the following books: Adaptation in Natural and Artificial Systems, Induction(w. Nisbett etal.), Hidden Order, and Emergence.
Cars H. Hommes’ research interests include nonlinear economic dynamics; bounded rationality; expectation formation and learning; heterogeneous agent modelling; bifurcations and chaos; financial markets; and laboratory experiments. Work on agent-based modeling in economics and finance is surveyed in Hommes C.H. (2006), Heterogeneous Agent Models In Economics and Finance Hand-book of Computational Economics, Volume 2: Agent-Based Computational Economics, Edited by L. Tesfatsion and K.L. Judd, Elsevier Science B.V., 2006, 1109-1186.
Mark Hoogendoorn’s research interests include (Multi-) Agent systems, Organizational modeling, Cognitive modeling, Biological modeling, Meta-reasoning, Electronic commerce, Negotiation, Adaptive systems, Cooperative Agents, Agent based simulation, and Ambient Intelligence.
Jane Hsu’s research interests include include intelligent multi-agent systems, data mining, service oriented computing and web technology.
Arthur Y. Huang’s research includes complex systems, agent-based modeling, cellular automata, network growth, urban clusters, transportation economics, and transportation safety.
Robert Huckfeldt’s research interests focuses on individuals imbedded ins social contexts and connected to each another through networks of communication. For example, he is currently investigating political expertise within communication networks and the potential for individual level expertise to enhance the decision-making capacity of aggregate populations. This project involves survey analysis, group based experiments, and agent based models.
Helen Hughes’ research interests are diverse, and have ranged from health and safety issues, to green behaviours in the workplace and matters relating to inclusion and diversity. Much of her most recent work has explored issues arising through team working in multi-team systems in organizational and sporting contexts, using methodologies which have ranged from organisational network analysis to agent based modelling and simulation. She is particularly interested in how social and technical aspects of an organisation can influence team working processes and team member behaviours.
C. Anthony Hunt directs the BioSystems Group at UCSF. He develops and uses advanced modeling and simulation methods (primarily hybrid multi-models that include agents in different roles) to achieve deeper insight into the networked micromechanisms that link molecular level events with higher level phenomena and operating principles at cell, tissue, organ, organism, and population levels in the presence and absence of interventions, primarily xenobiotics, biologics, and genetic modifications).
Geir Huse’s research interest include individual-based modelling, ecosystem and population dynamics, behaviour, recruitment, life history theory, fish migration, fisheries management, plankton dynamics.
Meghan Hutchins is interested in creating agent-based models for a variety of research projects and applications. Her current research focuses on the emergence of local norms within a residential subdivision pertaining to yard care management and design; and to what effect management and design have on carbon storage within a subdivision. Collaborative research projects inlcude the use of ABMs to estimate patterns of land-use change, socio-ecological impacts and carbon storage outcomes; and using ABMs to study the effect of social networks on childhood obesity.
Andreas Huth’s research interests include modeling complex ecosystems; dynamics of species-rich forests including disturbances (logging, fragmentation, climate change…); sustainable management, carbon balances of ecosystems; physiological processes in ecosystems (process based models); strategies of modeling in biology; understanding self-organization in biological systems using individual based models.
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