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: 29
Michael J. Radzicki’s research is primarily aimed at combining Post Keynesian economics and institutional economics with cognitive psychology and computational methods to create a more powerful form of heterodox economics. One of his current computational projects is the use of agent-based modeling to study the dynamics of human expectation formation, especially as it relates to the decision to invest in new plant and equipment.
Robi Ragan’s research interests include American political institutions, computational political science, and political economy. In my research, He uses a mix of formal modeling, computational modeling (agent based and simulation), and empirical methods to investigate various aspects of American politics. The core of his research centers on studying the U.S. Congress as a complex adaptive system within a larger macro-political context. You can read more about his research projects on his research page.
Iyad Rahwan’s research interests include collective cognition in technical systems (e.g., coordination among software agents or robots) and socio-technical systems (e.g., people interacting via social Web media). He uses techniques from artificial intelligence, cognitive science, logic and game theory. Current applications include helping people become more energy efficient, enabling automated trading of energy in smart electricity grids, making transportation systems smarter, and enabling large numbers of people to cooperate effectively.
Steve Railsback’s research interests includes modeling ecological systems, individual-based ecological modeling, and assessment of instream flow needs for river fish and ecosystems.
Anita Raja’s research focus is in the field of artificial intelligence, specifically in studying control and reasoning in multiagent systems operating in the context of uncertainty and limited computational resources. Her research interests include design and control of multi-agent systems, meta-cognition, bounded-rationality, adaptive agent control, multi-agent learning, markov decision processes, distributed constraint optimization and predictive analytics.
David Rand focuses on the evolution of human behavior, with a particular emphasis on cooperation, generosity and altruism. His approach combines (i) empirical observations from behavioral experiments with (ii) predictions generated by evolutionary game theoretic math models and computer simulations. He has written about the limitations of costly punishment for
promoting cooperation, why evolution might sometimes lead to anti-social punishment where non-cooperators pay to punish cooperators, the importance of considering repeated interactions when thinking about evolution and social learning and the role in-group bias plays in human cooperation. Other interests of his include applying infectious disease models to social contagion, and exploring the role specific genes play in
high-level cognitive behaviors, the possibilities the internet offers for incentive-compatible behavioral research, and the knowledge dynamics of scientific discovery and publishing.
William Rand’s resarch focuses on using on agent-based modeling, geographic information systems, social network analysis, and machine learning, to help understand and analyze complex systems, such as the diffusion of innovation, organizational learning, and economic markets.
Stephen Read’s research interests include computational models of social reasoning and social behavior; neural network models of personality and social behavior, legal and everyday decision making, causal reasoning, and causal learning; models of human motivation; the creation of realistic personality in computer based intelligent agents in virtual reality training systems; coherence based, constraint satisfaction based models of decision making and impression formation; the structure and dynamics of human personality; and the use of interactive media in changing risky sexual behavior.
François Rebaudo’s research interests focus on quantitative ecology and agent-based models.
Nancy E. Reed’s research interests include artificial intelligence, autonomous agents, cognitive modeling, diagnosis, expert systems, knowledge-based systems, knowledge acquisition, medical informatics, and real-time systems.
James A. Reggia research interests include several properties of biologically-inspired computing separate it from more traditional computer science, giving hope that new robust and adaptive software methods can be developed. Examples of this type of computing include neural computation, evolutionary computation, artificial life, self-replicating machines, artificial immune systems, ant colony optimization, L-systems, artificial societies, and swarm intelligence. His group has worked and/or is working in the following areas: neural computation, multi-agent, artificial life systems, evolutionary computation, and cellular automata models of self-replication.
Craig Reynolds’ research interests includes simulation of complex natural phenomenon (e.g., various types of human and animal behavior such as flocking); emergent teamwork in crowds (e.g., collective construction based on stigmergy, as seen in social insects); evolutionary computation to design agent-based models.
Robert G. Reynolds’ research interests focus on two main areas: multi-agent modeling and evolutionary computation.
Andre S. Ribeiro’s research interests include gene regulatory networks, stochasticity and phenotypic diversity, information propagation in networks, adaptability and diversity, and agent-based modeling.
Alessandro Ricci’s research interests include agent-oriented computing and multi-agent oriented programming, autonomous systems design and programming, concurrent and distributed programming, agent environment design and programming, and coordination models, languages and infrastructures.
Matteo Richiardi’s focuses on computational economics using agent-based models.
Rick L. Riolo’s research includes agent based modeling of complex adaptive systems, evolutionary algorithms, evolution and co-evolution of cooperation, urban development and sprawl, the relationship between phenotype plasticity and the structure and dynamics of food webs and the spread of anti-biotic resistance in nursing homes and other
settings, as well as methodological issues such as the importance of interaction topology in ABM, validation of models of complex systems, the conceptual issues that arise when attempting to model CAS capable of open-ended behavior and evolution and the software engineering and user-interface issues that arise when creating and using computational models.
Derek T. Robinson’s research includes using ABM to estimate patterns of land-use change and their corresponding socio-ecological impacts of natural and human responses to policy and future scenarios. More specifically, my research is focused on land use and land management issues associated with the carbon cycle. From an agent-based modellers perspective this involves integrating ABMs with models of biophysical systems to capture both the drivers and impacts of human land-use decisions.
Alan is involved in using social simulations to understand society as non-linear, complex systems. He is interested in the dynamics of social systems and understanding the forces which drive social change, particularly the development of culture and the social use of cultural artefacts and information. His PhD research studies the history of Disc Jockey culture, from a new technology to a global force. This uses social simulation to investigate the relationship between individual’s music tastes, perceptions and social position and the global concepts of music genres and subcultures. He works on the Agent Based Simulations of Market and Consumer Behaviour project in conjunction with Unilever and is a research fellow within the Sociology Department at the University of Surrey.
Duncan Robertson’s research interests include the dynamics of competitive strategy; competition in high-velocity and turbulent environments; dynamic capabilities; agent-based modelling of inter-firm competition; and strategic management of financial services firms.
Brandon Rohrer’s research lies at the intersection of robotics, computational neuroscience, artificial intelligence, and machine learning. He also relies heavily on cognitive neuroscience and experimental psychology for insights. He is making robots that can learn from their experiences and create abstract concepts to help them succeed, possibly in the same way that children do. His vision is to enable robots to do everything he can do. But he will consider it a huge success if one of his robots grows to be as smart as a dog.
Kenneth A. Rose research interests include modeling the delta smelt population of the San Francisco estuary; modeling water quality effects on estuarine fish populations; simulating predator-prey dynamics of walleye and yellow perch in Oneida Lake; and multispecies modeling of fish populations,
Rosaldo J. F. Rossetti’s research interests include: multi-paradigm traffic simulation, pedestrian simulation, Behavioral modeling and social simulation. validation and calibration methodologies for MAS-based simulation, spatiotemporal data mining, analysis and visualization, GIS-T and GIS-based simulation, UbiComp, pervasive systems and ambient intelligence applied to mobility systems.
Eva Rossmanith’s research focuses on behavioural ecology, population viability analysis, impact of land use and climate change on biodiversity, and spatial upscaling of ecological processes. In her research she uses behavioral observations, individual based modeling and pattern-oriented modelling.
Juliette Rouchier’s research focus is cognitive economics, a branch that uses insight from economics but also psychology or anthopology to study economic issues. She uses Agent-Based Simulation to study behaviours on markets based on pair-wise interactions, stressing the importance of loyalty, reputation and trust. She also works on social influence and diffusion processes from a quite theoretical aspect, with the final aim of understanding the evolution of consumers’ preferences, and especially their perception of quality and of environmental issues. She eventually works on methodological and philosophical aspects of ABM.
Michael Rovatsos’ research interest focus on computational processes in reasoning about interaction among intelligent agents operating in a common environment. His research has many facets, including: trust and reputation mechanisms, agent communication language semantics, learning dialogue strategies, formal specification of autonomy, learning agent architectures, agent-based collaborative machine learning, opponent modelling in games, automated norm synthesis, conflict resolution in multiagent planning, planning games, and multiagent reinforcement learning.
Andrea Roventini’s includes investigating the micro foundations of business cycles using evolutionary, agent-based models.
Xavier Rubio is a researcher of the Barcelona Supercomputing Center. He is interested on the use of Agent-Based Models in Social Sciences and Humanities, particularly in Archaeology. This approach is combined with spatial analysis and geostatistics in order to develop methodologies able to explore the links between social behavior and environment. In addition, he is developing a distributed ABM framework, that can be used to create large-scale models suited to be executed in High-Performance Computing systems.
In Philip Ryan’s research, he applies agent-based models (ABMs) to mathematical ecology and physiology problems. His research goal is to develop an ABM which analyzes diabetes self-management strategies, especially with type II diabetes, based on the oral glucose tolerance test.
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