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: 40
Branimir Cace’s research focuses on developing the 3D multi-agent modeling tool ETORAMA.
Gilberto Câmara is General Director of Brazil’s National Institute for Space Research (INPE). He served a four-year term as Director from 2005 to 2009 and has been selected to serve a second four-year term from 2010 to 2013. His research areas are Geoinformatics and Environmental Modelling. He serves on the Scientific Steering Committee of Global Land Project and on the editorial board of the journals Earth Science Informatics and Computers, Environment and Urban Systems.
Peter Campbell’s research interests include: (1) modelling and simulation technology and its application to decision support tools for government and industry, with emphasis on defence and large infrastructure applications; (2) agent based modelling methods for the representation of organization and individual behaviour in complex decision environments; (3) complex adaptive system representation of organizational behaviour, with application to defence, homeland security, health care, agriculture and sustainable environment; and (4) model based systems engineering process, methodology and tool integration into existing organization structures.
Paul Caplat is interested in interactions: how individuals interact, making complex population dynamics arise, how local mechanisms interact to produce large-scale patterns, how large-scale patterns affect individuals, and how human societies interact with their environment. In practice, he has dealt mostly with woody plants dynamics, with or without interactions with farming activities: forest species migration under climate change, how mechanisms like re-sprouting or seed masting affect community dynamics, forest expansion with changes in grazing practices. His favourite tool to approach these questions is individual-based modeling, which allows to simulate different situations with great flexibility. Combined with adequate statistical analysis or GIS utilities, it gives a good insight into ecological phenomena in space and time, for theoretical or applied studies.
Kathleen M. Carley’s research includes dynamic network analysis, computational social and organization theory, adaptation and evolution, text mining, and the impact of telecommunication technologies and policy on communication, information diffusion, disease contagion and response within and among groups particularly in disaster or crisis situations. She is the director of the center for Computational Analysis of Social and Organizational Systems (CASOS). She and her center have developed infrastructure tools for analyzing large scale dynamic networks andvarious multi-agent simulation systems.
Alan S. Carlin is a graduate student and Research Assistant for the Resource Bounded Reasoning laboratory at the University of Massachusetts at Amherst, studying problems in Artificial Intelligence. He is originally from Marlboro, New Jersey, and graduated from Cornell University in 1998 with a double major in Computer Science and (cognitive) Psychology. In 2005 he earned his Master’s Degree in Computer Science at Tufts University, his advisor was Jim Schmolze. From 1998 to 2006 he worked at MIT Lincoln Laboratory, first as Assistant Staff and then as Associate Staff.
Ted Carmichael’s research focuses on the multidisciplinary nature of CAS, and all of his efforts are aimed at two goals: (1) To improve our understanding of general CAS principles that transcend any one domain. (2) To help build a community of CAS researchers that span across the natural, physical, and social sciences.
Stephen R. Carpenter’s research Interests includes limnology; experimental analysis of ecosystems; ecological modeling; adaptive management; and environmental policy
Carolina de Carvalho is a urban planner who graduated from UFPR in Brazil and specialized in environmental analysis. She is currently a PhD student at Alcala University, Spain (Program on Thematic Cartography, GIS and Remote Sensing), where she works on her thesis, which is about Agent-Based Models applied to urban growth. The study area is the Community of Madrid. She is also interested in interested in the application of agent-based models to complex systems, urban studies, sustainability, among others.
Filippo Castiglione’s research interests include the study of complex systems in general to modeling biological systems such as the immune system and related pathologies. He is the author of C-ImmSim, an ABM to simulate the Immune System
Leo S D Caves’s research interests include modelling & simulation of complex systems: simulation of complex biosystems. e.g. biomolecular self-assembly processes; emergent properties of artificial chemistries. Data Science: methods & tools for exploratory data analysis and visualisation for biosystems. Discoveries Complexity pervades.
Lars-Erik Cederman’s research interests include agent-based modeling, International Relations theory, nationalism, integration and disintegration processes, and historical sociology.
Benjamin Chabot-Hanowell’s interests include broadly transnational labor migration, the rise and fall of the ancient Maya, the evolution of social territoriality, the origins and evolution of cooperation, altruism, and social hierarchy.
Damon M. Centola’s work addresses theoretical and empirical problems in the diffusion of collective behavior. My core sociological interest is how individual actions aggregate to produce (often unexpected) collective outcomes. This includes the mobilization of social movements, the self-organization of ethnic communities and cultural enclaves, the spread of health behaviors (such as vaccination, dieting, and condom use), and the coordination of collective beliefs (such as religious extremism and social sanctioning practices).
Erik Chapman’s research interests focus on the study of apex-predators as indicators of marine ecosystem structure and function and as marine resources that are valued by society and, therefore, must be managed and conserved. He has a particular interest the interplay between theory, modeling, and field studies within team-oriented interdisciplinary research programs. For his PhD, he developed individual-based energetics models representing foraging behavior and chick growth for Adélie penguins (Pygoscelis adeliae). The models were used to investigate the influence of climate warming off the western Antarctic Peninsula on Adélie penguin chick growth and recruitment. For his postdoctoral research, he is work closely with LPRC scientists and colleagues to develop a model that will explicitly represent the movement of individual bluefin tuna and their partitioning of energy between self-maintenance, growth and reproduction. This model interacts with a biophysical model that predicts prey distribution. These models will be used to assess the benefit/cost of different bluefin tuna life-history strategies (migratory behavior, natal homing and spawning schedule).
Emile Chappin’s interests focus on simulation models of transitions and transition management in the energy domain.
Shu-Heng Chen’s research interests focus on agent-based computational economics.
Harry H. Cheng’s research interests include information technology and its applications in engineering, computer-aided engineering, mobile agent based computing, intelligent mechatronic and embedded systems, robotics, design and manufacturing, and innovative teaching.
Sonia Chernova’s research interests lie in interactive robot learning, adjustable autonomy and human-robot interaction, and my work focuses on the development algorithms that enable robots to learn through social interaction with humans. She is particularly interested in active learning and the development of algorithms that enable learning agents to regulate their autonomy and request help from a human at critical timepoints. She is also interested in exploring online crowdsourcing as a means for training social robots, with the goal of developing robots capable of natural interaction and adaptation based on observation of human behavior.
Dominique Chu’s research interests include bio-inspired computing, computational biology/computational modelling of biological systems, and molecular computation.
Ali Cinar’s research focuses on two areas: development of a process operation supervision and control system based on multi-agent systems, and modeling of angiogenesis and tissue growth. The first implements distibuted AI via agents and has an adaptive framework (It evaluates agent performance and assigns heavier weight to decisions coming from agents that have been successful in previous similar circumstances). The second proliferates the agents representing cells as angiogenesis and tissue growth progresses.
Claudio Cioffi-Revilla’s interests include quantitative, mathematical, and simulation models applied to complex human and social systems.
Ana Paula Boler Cláudio research includes agent-based models of interactive virtual human characters.
Fabio Clementi’s research interests include the statistical analysis of economic phenomena, in particular the size distribution of income, wealth and firms. The discovery of a number of interesting statistical properties in different economic data, such as the presence of skewed and thick-tailed densities, confirms the existence of a pervasive heterogeneity over individual agents and makes a valuable contribution in identifying a range of “facts” that helps constrain agent-based modelling.
Jon C. Cline’s research interests include mathematical and computational ecology, ecological multi-modeling, agent-based and individual-based modeling, decision support tools for natural resource management and ecosystem restoration.
Helder Coelho’s research interests include distributed artificial intelligence and multi-agent systems: models and architectures; knowledge engineering, knowledge management, agent-based computing, and natural language understanding; and sciences of complexity.
Corinne Coen’s research focuses on why people cooperate in teams and on how managers can get them to cooperate more often. She investigates cooperative dynamics within teams, between teams, and the power of team design to elicit productive interdependence.
“Vincent Conitzer’s research focuses on issues in the intersection of artificial intelligence and microeconomic theory. His research includes the design of new marketplaces and other negotiation protocols that allow humans and software agents to express their preferences naturally and accurately, and that generate good outcomes based on these preferences. It also includes the design of software agents that can act strategically in settings where multiple parties all pursue their own interests. This requires the use of concepts from game theory, as well as operationalizing these concepts by finding efficient algorithms for computing the corresponding solutions. Finally, his research includes the study of all settings in computer science in which multiple parties act in their own self-interest, as well as the design of incentive mechanisms to reach good outcomes in spite of such behavior.
James Conolly research interests include spatial and comparative statistical analysis of environmental data sets (faunal and floral) from PPNA/B and EN/LBK sites from Southwest Asia and Europe; analysis of long-term human ecology of Antikythera, Greece (SSHRC); computer modelling of PPNA/B and EN/LBK population and cultural dynamics.
Rosaria Conte is a cognitive and social scientist, with a special interest for the study of positive social action (altruism, cooperation and social norms), and reputation-based social regulation. She developed a cognitive agent architecture (EMIL-A) for the simulation-based study of norms’ representation and reasoning. Recently, she has been working out a model of norm internalization, Her current research aims to apply EMIL-A to the study of norm compliance and the dynamics of legal and illegal systems in the same population.
Noshir Contractor is investigating factors that lead to the formation, maintenance, and dissolution of dynamically linked social and knowledge networks in communities. Specifically, his research team is developing and testing theories and methods of network science to map, understand and enable more effective networks in a wide variety of contexts including communities of practice in business, science and engineering communities, disaster response teams, public health networks, digital media and learning networks, and in virtual worlds, such as Second Life.
Antônio Carlos da Rocha Costa’s research focuses on simulation of public policy, societies of agents/agent societies, and formal models of social systems.
“Kevin Craig’s research focuses on the effects of habitat quality on estuarine and offshore shelf fishes, in particular how organisms utilize various habitats, the direct and indirect effects of human activities on coastal habitat quality, and the attendant consequences for population dynamics and community structure. Recent and ongoing projects have addressed the effects of species interactions (competition and predation) on the cohort dynamics of estuarine fishes, the consequences of eutrophication and associated low dissolved oxygen (i.e., hypoxia) for fish communities and fisheries in the Gulf of Mexico and in southeast US estuaries, and the effects of drought and declines in river flow on juvenile fish nursery habitats. He enjoys process-oriented studies that combine multiple research approaches (field studies, experiments, modeling) to address questions at scales that are relevant to contemporary management and policy issues.
Guenter Conzelmann’s research focuses on (1) Model development: The development of advanced modeling algorithms to address strategic energy and environmental issues. (2) Model application and analysis: Support industry and government clients in the U.S. and around the world by conducting analyses of priority issues in the energy and environmental field. (3) Training and knowledge transfer: Design and conduct training programs to transfer Argonne’s software tools and modeling expertise to clients around the world.
Sylvain Costes’ focuses on various aspect of computational biology including radiation biology, modeling and radiation system biology, three-dimensional microscopy, and high-content image analysis.
Iain Couzin’s research includes experimental, mechanistic and evolutionary perspective of leadership and consensus decision-making in animal groups; the evolution of collective migration; cannibalism and collective behavior in swarming insects (locusts and crickets) and tadpoles; collective exploration in ants; social networks and collective behavior in primates; and high performance computing for massively parallel simulations of animal group behavior.
Andrew Crooks’ research interests focus on exploring, understanding and the communication of urban built and socio-economic environments using geographic information systems, spatial analysis, geovisualisation and agent-based modelling methodologies.
Jim Crutchfield’s research interests focus on computational mechanics, the physics of complexity, statistical inference for nonlinear processes, genetic algorithms, evolutionary theory, machine learning, distributed intelligence, and quantum computation.
Mark Culyba’s dissertation introduces an agent based model driven by the behavioral assumptions of the bargaining theory of war literature. The model is applied to explain why wars tend to cluster geographically and why democracies tend not to fight each other. Simulation results suggest new explanations for both of these phenomena. The emergence of regionally clustering conflict can be explained by the tendency of shifting power to motivate renegotiation when agents pay costs for projecting power and select their bargaining partners. The emergence of regions of democratic peace occurs when certain groups of agents share information more effectively than their competitors. The dissertation develops and validates these theories with statistical analysis of simulation results and case studies.
Derek Cummings’ research interests include understanding the temporal and spatial dynamics of the spread of infectious diseases in order to inform interventions to control their spread. His research includes analyses of spatial-temporal patterns of infectious disease spread and theoretical approaches to simulate (individual-based modeling) the spread of pathogens in populations. He is specifically interested in the dynamics of dengue hemorrhagic fever, influenza, measles and chikungunya.
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