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: 32
José Manuel Galán research interests include water management, replication, agent-based modelling, game theory, social networks and the use of models in general.
Mauro Gallegati’s research interests include the application of agent-based modeling to macroeconomics, and the use of heterogeneous interacting agents for understanding monetary economies.
Rosanna Garcia’s research interests include new product development process; complex systems as applied to the innovation process; agent-based modeling of social networks; diffusion of innovations; emergence of radical innovations; management of technology; and resistant innovations.
César Garcia-Diaz’s research interests include computational organisation theory, social networks, complex social systems, and agent-based modelling.
Jacques Gautrais’s research interests include collective movements of sheep and fish, and nest building by termites and ants, which are paradigmatic examples of complex systems in animal societies: the collective dynamics results from numerous agents interacting locally. As a biologist, his goal is to decipher the individual behavioural rules which can produce and explain the observed dynamics at the collective scale. He uses agent-based modeling approach to (a) write statistical procedures for extracting behavioural parameters from experiments (inversion problem, system identification) and (b) explore and understand the predicted properties at collective scale, and the associated parameters sensibilites (Monte-Carlo method).
Felimon Gayanilo had been developing software packages for over 2 decades, primarily working in the field of fisheries and ecological science, essentially translating scientific concepts to scientific software tools that can be used to validate the concept and publication. His work took him to various countries as an IT specialist/consultant in natural resource management. He has lead teams to develop national information systems and in the continental USA, he has taken lead roles in the development of the GIS-based Data Navigator for South Florida and similar decision support facilities, participated in ontology and semantic web application, development of the Gulf of Mexico Coastal Ocean Observing System (GCOOS) data portal and importantly, development and application of agent-based modeling system to understand emerging behaviors to ecological disturbances.
Armando Geller’s research focuses on: building construct-valid social simulation models and fusing formal and idiographic approaches; the bi-directional relationships between agent cognition and behavior, social mechanisms, and social structures and processes; applying and creating procedures for empirical and structural model validation that help establish correspondence between the model and the target system across multiple scales and data types; power and elites, and anomie, neo-patrimonialism and clientelism in armed conflict; and representing the cognitive and behavioral architectures of agents in social, cultural and political interactions.
Charlotte Gerritsen’s research focues on the analysis of criminal behavior, which involves biological, psychological and social factors and their mutual interactions. Criminal behavior can thus be viewed as a complex system to which she applies agent-based modeling.
Aditya K. Ghose research includes: agent-oriented conceptual modeling and questions relating to how agent-oriented conceptual models co-evolve. In AI, his interests include agent-based systems, specifically constraint-based agent programming languages and extensions to AgentSpeak.
Joseph Giampapa’s research interests include autonomous agents and multi-agent systems, agent-based modeling and simulation, artificial intelligence, and language technologies, for the purposes of achieving understanding, control, predictability and justified confidence in the behavior of distributed, autonomous, and socio-technical computer systems.
Simone Giansante’s research interests include banking, financial networks and systemic risk has been forged over a number of years starting with a PhD titled “Agent-Based Economic (ACE) Modeling of Payments Media: Emergence of Monetary Exchange, Banking, Large Value Payment and Settlement Systems”.
Nigel Gilbert’s research interests include processual theories of social phenomena, the development of computational sociology and the methodology of computer simulation, especially agent-based modelling. He is Director of the Centre for Research in Social Simulation.
H. Randy Gimblett is the Chair of the Conservation Planning and Policy group & Professor at the School of Natural Resources and the Environment of the University of Arizona. He has been engaged in research work in studying human-landscape interactions and their associated conflicts and public policies related to protection of special environments and environmental experiences for nearly three decades. He has expertise in the assessment of recreation planning and management, environmental planning and impact assessment, agent-based modeling, visitor use management, the evaluation of human use patterns, interactions and responses across various landscape scales, pedestrian and visitor modeling, the study of human/wildlife interactions and more specifically coupling human-landscape systems modeling across space and time at multiple scales. He works closely with stakeholder groups and has extensive experience understand recreation conflict assessment using a variety of techniques. He is currently involved in land use and land cover modeling in response to climate change and working closely with stakeholders to resolve environmental conflict.
Jarl Giske’s research focus on a basic understanding of processes at the level of individuals drive the dynamics of populations and communities (e.g., learning and foraging) with the help of agent-based models.
Jacob Goldenberg is a professor of Marketing at the School of Business Administration at the Hebrew University of Jerusalem. His research focuses on creativity, new product development, diffusion of innovation, complexity in market dynamics and social networks effects.
Ashok K. Goel’s research focuses on computational design and creativity. The goals of his research are to model human creativity in practical tasks such as conceptual design of complex systems and to develop interactive tools for aiding people in creative tasks. His research posits analogical reasoning, visual reasoning, and meta-reasoning as fundamental processes of creativity. Computer-aided engineering design and computer-supported science learning provide two real-world domains for exploring analogical, visual and meta-reasoning. Current projects explore analogical reasoning in biologically inspired engineering design, visual reasoning on intelligence tests, meta-reasoning in game-playing agents, and learning about ecological and biological systems in science education.
Nick Gotts until 1996, his research focused mainly on qualitative spatial representation and reasoning in humans, other animals, and computers. At that time he switched to work on complex systems dynamics, particularly on agent-based social simulation, but also on cellular automata. Since July 1998 he has been designing and experimenting with agent-based models of land use and energy demand at the Macaulay Land Use Research Institute. Particular interest include the distinctive features of complex adaptive systems which include agents capable of modeling and criticizing the systems to which they belong (e.g., people), systematic approaches to comparing agent-based models, the relationships between analysis, simulation and empirical approaches in the study of complex systems, and the development of formal methods for describing, assessing and comparing simulation models and linking them with quantitative and qualitative evidence. Since April 2001 he has headed the FEARLUS (Framework for Evaluation and Assessment of Regional Land Use Scenarios) research team. at Macaulay Institute Since December 2008 he has been coordinator of the European Commission FP7 project GILDED (Governance, Infrastructure, Lifestyle Dynamics and Energy Demand). He is co-editor of the ESSA newsletter, and a member of the ESSA management committee.
Shawn Graham’s research interests include: digital media for teaching, learning, and research in history and archaeology; other parts contain Netlogo agent based simulations of various aspects of Roman history and archaeology, and historical scenario-building for commercial games
Adela Grando is currently working on the specification, design, analysis and study of theories and formal frameworks with application in the area of Health Informatics. In particular she is interested on: workflow-based frameworks and concurrent processing, decision-support systems (mainly argumentation-based logic), patient safety (detection, prevention and recovery of anomalies during workflow enactment) and protocols of communication for multi-agent systems.
Jakob Grazzini is a Phd student at the University of Turin within the Doctoral Programme in Economics and Complexity. The aim of his present research is to understand the economy as a complex system and to study the importance of emergent properties within economic and financial systems. In particular he is working on computational finance, to analyze the effect of algorithmic trading on stock markets, and on estimation and calibration methods for agent based models.
Amy Greer’s research interests focus on epidemiology, ecology and evolution of infectious disease and include: waterborne diseases, sexually transmitted infections, zoonoses, hospital-acquired infections
environmental health, antimicrobial resistance, vaccine preventable disease, mathematical modeling and simulation, and public health policy.
William Griffin builds agent based models of micro-social interaction. His current work revolves around the identification, the quantification, and the subsequent computational modeling of the behavioral dynamics observed during complex social processes — such as children forming playgroups or adult couples engaged in a conversation.
Francisco Grimaldo’s research includes MADeM, the project on multi-modal agent decision making; social decisions in multi-agent systems; multi-agent simulation; crowd simulation; and behavioral animation of synthetic characters. He also does research on applying multi-agent systems to tackle complex problems such as urban mobility, scientometrics and economical markets. Moreover, he studies the scalability of Java-based multi-agent programming frameworks.
Volker Grimm’s research interests include the methodology and philosophy of ABM/IBM. Methodologically, he focuses on “Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.”
Elizabeth Groff’s research interests focus on crime and place; modeling geographical influences on human activity; agent-based modeling as a methodology; crime prevention; and policing.
Dan Grollman’s research considers Robot Learning from Demonstration (RLfD) as a means of performing Human-Robot Policy Transfer. The goal is to allow a human user to instantiate, on a robot, an autonomous control policy to perform a desired task without performing a detailed analysis of the task itself or explicit coding. His work focuses on using statistical machine learning approaches to infer these controllers from noisy, suboptimal, and ambiguous human demonstrations.
Louis J. Gross’ research interests include: mathematical and computational ecology; environmental modeling and restoration; grid-computing and multimodeling of ecological systems linked to abiotic influences; spatial optimization and control in conservation ecology and natural resource management; quantitative curricula and training for the life sciences.
Alejandro Guerra-Hernández’s research interests focus is on rational models of agency, the BDI intentional approach is well known in the agent community. It is grounded on two philosophical concepts: Intentional systems à la Dennett; and Michael Bratman’s theory of practical reasoning. The model is formally well founded in a serie of multi-modal logics, widely studied in the 90’s. Different BDI architectures have been implemented, e.g., PRS, dMARS, !jam. His lab is working on projects to address two types of problems with these models: The lack of social, multi-agent explicit functionality; and the lack of learning competences.
Corrado Di Guilmi uses agent based modelling in macroeconomics for microfouding Post Keynesian models of financial fragility. Together with Mauro Gallegati and Simone Landini he is currently developing an analytical technique of aggregation of heterogeneous agents using statistical mechanics tools. In this context the agent based simulations are a benchmark to test the performance of the new aggregation method.
László Gulyás’ research interests are focused on the methodology and application of agent-based modeling. Besides his theoretical work on this subject, he participated in the conceptual and technical development of several ABM platforms. Currently, he is leading the development of the Multi-Agent Simulation Suite that includes FABLES, a dedicated simulation language for agent-based simulations; MEME a tool to help the methodologically correct and efficient exploration of large simulations/parameter spaces; and PET a tool for participatory simulation. Regarding the ABM, Dr. Gulyás has worked with economists on various topics (explaining Zipf’s law in city size distributions, extending discrete choice econometric models with social influence, modeling the international bank crisis, studying tax avoidance behavior, artificial stock markets, etc.), political scientists (state formation and conflict, evolution of cooperation, three person IPD games, etc.), traffic engineers, theoretical biologists (evolution of complexity, speciation, etc.), sociologists and social theorists (evolution of norms) and computer scientists (analysis of ant algorithms). A special interest of Dr. Gulyas’s is the synergy between social network analysis and ABM, where he currently studies models of dynamic networks.
George Gumerman’s research interests focuses on evolving cultural complexity and past human adaptation to the environment in the American Southwest. Much of his research has involved working with teams of natural scientists in detailed reconstruction of former environments and understanding the social adaptation of prehistoric peoples to those landscapes. More recently he has worked with computer modelers and social scientists creating agent-based simulations that compare the evolutionary trajectory of an actual prehistoric group with a simulated artificial group. The agent-based modeling efforts provide new insights into the role of various natural and cultural factors in the evolution of culture.
Alexander Gutfraind research interests focus on developing mathematical and agent-based models to illuminate problems in complex systems and counter-terrorism using methods from the theories of complex networks, discrete optimization and dynamical systems.
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