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: 28
Dan Ladley’s research Interests include market microstructure, financial regulation, computational, agent-based and evolutionary approaches.
Tei Laine’s research interests include: complex systems, agent-based models, decision making and learning, and language evolution and language change.
Mark Lake’s research interests include development and use of quantitative and computational methods for studying the past, especially agent-based computer simulation and geographical information systems. He has used these techniques to study the evolutionary origins of cultural transmission, Mesolithic settlement strategies in Scotland and the spread of farming in Neolithic Europe. He also has a long standing interest in the problem of memes and the manner in which human innovation explores design space. Further information (and software) is available on his personal web pages.
Roland H. Lamberson’s research interests include multispecies population dynamics in individual-based trout models; rhe dynamics of specialist and generalist pollinators in patchy Landscapes, 2001-2003; and the California Individual-based fish simulation system; habitat modeling for the northern spotted owls in California.
Maciek Latek’s research focuses on multiagent simulations and strategic interactions.
Michael Laver’s research interests include analytical, computational and empirical accounts of political competition and decision-making.
Alessandro Lazaric’s research activity is mainly focused on Reinforcement Learning (RL) and On-line Learning. During my PhD h studied many topics, from function approximation to exploration and he tried to apply RL to different robotic applications both in simulation and with real robots. At the same time, he investigated what happens when RL techniques are applied to multiagent systems both in cooperative and competitive settings. His PhD thesis focused on the problem of transfer of knowledge in RL. As a post-doc at INRIA he is working on on-line learning and multi-task learning.
Blake LeBaron’s research focuses on domestic and international financial markets and empirical and theoretical studies of asset market behavior. He uses agent-based modeling to build “artificial stock markets” with simulated computer traders.
Michael Harold Lees’ research interests include agent-based modeling and simulation, distributed and parallel systems, crowd simulation, discrete event simulation, and bioinformatics.
Axel Leijonhufvud’s research interests include high inflations; alternative monetary regimes; transformation of socialist systems; computable economics; and evolution of modern macroeconomics.
Robert J. Lempert’s research focuses on improving methods for long-term policy analysis and for using data and models to support decisionmaking where accurate forecasts are impossible. He is leading a major National Science Foundation–funded study that aims to improve methods for using scientific and other information to support decisions about climate change. He has worked extensively in the areas of environment, energy, and national security strategies; and he has conducted research on science and technology investment strategies for clients that include the White House Office of Science and Technology Policy, the U.S. Department of Energy, the National Science Foundation, and several multinational firms.
Victor R. Lesser’s main research focus is on the control and organization of complex AI systems. His research includes the areas of blackboard systems, multi-agent/distributed AI, and real-time AI. He has also contributed in the areas of computer architecture, signal understanding, diagnostics, plan recognition, and computer-supported cooperative work.
Youwei Li’s research interests include financial econometrics, quantitative finance, and agent-based modelling of financial markets.
Churn-Jung Liau research interests include uncertainty reasoning, intelligent agents, logic in artificial intelligence, rough set theory, and fuzzy logic.
Barak Libai’s research focuses on customer social effects such as word of mouth, and their effect on new product growth and a firm’s profitability, growth of markets for new products, and customer relationship management.
Chao-Lin Liu’s research interests focus on applying computing technologies, especially artificial intelligence, to realistic and theoretical problems, including natural language processing, the study of cognition, automatic reasoning, machine learning, information retrieval and knowledge management, intelligent tutoring systems, intelligent transportation systems, decision support, planning, and diagnostic systems.
Jiming Liu’ research focuses on health informatics, complex self-organizing systems, complex/social networks, autonomy-oriented computing (AOC), and web intelligence (WI). His previous research has focused on autonomous agents and multi-agent systems (AAMAS), robotics, and artificial intelligence (AI).
Lin Liu’s research interests include geographic information sciences, mapping and visualization, GIS urban-economic applications, spatial analysis, crime analysis and simulation, location analysis, and remote sensing.
Claudia Lopez is a doctoral student interested in the impacts of landscape change on animal population persistence. Besides working on her thesis and computer simulations, she enjoys mountain hiking, painting and photography.
András Lörincz’s reinforcement learning, planning and robust control, representation, networks, competition and collaboration, cognition and psychology, development, neurobiology, computer networks and distributed computing, and eLearning and ambient intelligence.
Bradley C. Love’s research centers around human learning and decision making. Most of his work involves behavioral experiments and formal modeling approaches. Lately, he become interested in using these cognitive models to analyze fMRI data. Recent work in the lab in sequential learning and dynamic decision making has led to cognitively motivated human computer interactions systems that learn to anticipate a human’s information needs. He has a number of other interdisciplinary projects underway, ranging from agent-based traffic modeling to improving educational delivery.
Sergi Lozano’s research interests include modeling and simulation is sociological and economic system with the application of social networks, game theory, and agent-based models.
Sean Luke’s research interests include multiagent behavior and simulation (see MASON); multiagent learning and fairness; evolutionary algorithms; genetic programming; code bloat; robotics; biological modeling; and knowledge representation.
Michael Luck’s work has sought to take a principled approach to the development of practical agent systems, and spans: formal models for intelligent agents and multi-agent systems; formalisation of existing practical agent systems and theories; information-based agent applications in domains such as genome analysis; norms and institutions; trust and reputation; agent infrastructure; declarative programming of agent systems; agent-oriented software engineering; application to Grid computing; and industrial deployment and technology forecasting.
Doug Lundquist’s research interests focus on agent-based models and mobile Networks.
An important part of Ian S. Lustick’s research focuses on developing theoretically anchored agent-based models for achieving and improving explanations of political cascades, the political consequences of violence, and transition rules for authoritarian polities. He is also very much engaged in developing protocols for the construction and operation of complex “virtualization” models for both analytic and predictive purposes. He and his collaborators use the PS-I modeling platform to enable non-programmer, substantive matter experts to exploit the power of computer assisted ABM (also see Lustick Consulting).
Thomas Lux’s research interests include the application of agent-based models to financial markets.
Steven Lytinen’s research interests include: question answering systems; agent-based modeling of ecological systems; ARCH: an adaptive agent for retrieval based on concept hierarchies; and LINK: a unification-based parser.
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