Individuals Engaged in ACE/CAS Research
- Last Updated: 15 April 2017
- Site maintained by:
- Department of Economics
- Iowa State University
- Ames, Iowa 50011-1070
tesfatsi AT iastate.edu
- Agent-Based Computational Economics (ACE) Website:
- This site is no longer being kept current due to the increasing number of people active in ACE-related areas. Since 2007 the names and homepages of individual researchers who want to be listed at the ACE website have been posted at the particular
ACE research site
representing their primary research area.
John E. Abraham,
(Department of Civil Engineering, University of Calgary, Calgary, Canada):
Microsimulation of urban economic and transportation systems for
transportation planning, urban planning and policy analysis. Part of a team
of Canadian researchers focusing on locational decisions of firms and
households and the related decisions of land developers, and how these are
influenced by the economic flows/trips that occur among given locations.
C. Athena Aktipis,
(Ecology and Evolutionary Biology, University of Arizona, Tucson): Evolution of cooperation and movement (in particular, how individual-level movement rules for leaving uncooperative partners/groups affects spatial and evolutionary dynamics); evolution of information processing and signaling systems.
Peter M. Allen
(Complex Systems Management Centre, School of Management, Cranfield
University, Bedford, UK): Evolving networks; Organisational evolution;
Development of integrated models linking the physical, ecological, and
socio-economic aspects of complex systems as a basis for improved decision
Esben S. Andersen,
(Business Studies, Aalborg University, Denmark): Economic organization
(knowledge creation, specialisation, and networks); Evolutionary modelling
and simulation; History of economic analysis, with a focus on Schumpeterian
(Economics, Simon Fraser University, Burnaby, Canada): Evolutionary
algorithms in macroeconomic models; Artificial foreign exchange markets;
Genetic algorithm learning; Communication in sender/receiver games.
(Economics, Finance, and Management Science Division, University of
Baltimore, Maryland): Model-based decision support systems; Construction of
solution algorithms for stochastic optimization and simulation models.
W. Brian Arthur,
Santa Fe Institute,
New Mexico): Designing economic agents that act like human agents;
Artificial stock market modelling; Effects of positive feedbacks.
(Intelligent Systems Laboratory, Swedish Institute of Computer Science,
Kista, Sweden): Automated markets; Bioinformatics.
(School of Public Policy Studies, University of Michigan, Ann Arbor):
Complexity of cooperation; Evolution of cooperation.
(Brookings Institution, Washington, D.C.): Sugarscape model; Growing
artificial societies from the bottom up; Size distribution of firms;
Environmental economics and regulation; Global change science and policy.
(Institute of Agricultural Development in Central and Eastern Europe (IAMO),
Halle, Germany): Modeling endogenous structural change in agriculture;
Agent-based policy analysis; Analysis of spatial land markets with parallel
Steven C. Bankes
(Managing Partner, Evolving Logic Associates, Los Angeles): Simulation theory
and practice; Software support for exploratory modeling; Decision theory for
complex systems; Emergence of institutions in social systems; Evolutionary
Jason M. Barr
(Economics, Rutgers University, Newark, NJ): Agent-based models of
organizations; Artificial neural network models.
(CSIRO Manufacturing and Infrastructure Technology, Australia): Agent-based
modelling of social, economic, and (bio)physical phenomena; Urban, regional,
and evolutionary economics; Industrial ecology (energy, water, waste, and
Eric B. Baum
(Senior Research Scientist, NEC Research Institute, NJ): Artificial economies
of agents that use reinforcement learning; Cognition; Intelligence; Learning;
Understanding; DNA-based computing.
Ann Maria Bell
(Research Scientist, NASA Ames Research Center, Moffett Field, CA): Models of
local interactions among heterogeneous agents, with an emphasis on the use of
computational methods; Collective Intelligence (COIN); Strategic behavior and
learning; Efficient allocation of network resources; Coordination failure as
a source of congestion in information networks.
(Center for Development Research - ZEF, University of Bonn): Applied
agent-based modeling in agriculture, technological change and population
migration in the context of water and land use changes; Multidisciplinary
approaches for natural resource management and policy analysis.
(Department of Economics, University of California at Santa Barbara):
Evolution and economics; Economics of the family; Evolutionary game theory;
(Department of Philosophy and Department of Social and Decision Sciences,
Carnegie Mellon University, Pittsburgh): Nature and dynamics of social norms;
Social learning and its relation with the emergence of norms; Foundations of
game theory; Applications of game-theoretic and evolutionary models to
distributed artificial intelligence.
Ken G. Binmore
(ELSE, University College London, UK): Game theory and the social
contract; Evolutionary game theory; Bargaining theory; Experimental
economics; Political philosophy.
(Cirad, France): Multi-agent simulations of natural and renewable resource
management (CORMAS); Ecological economics; Economic exchanges and spatial
organization; Use of such models in the field to aid coordination.
(Economics, University of Massachusetts, Amherst, MA): Co-evolution of
preferences, institutions, and behavior; Causes and consequences of economic
(Department of Anthropology, UCLA): Evolutionary psychology of mechanisms
that give rise to, and shape, human culture; Population dynamic processes and
human cultural variation.
(Max-Planck-Institute for Research into Economic Systems, Jena, Germany):
Evolution of industrial clusters and milieux; Transfer of knowledge;
Modelling of learning in economics; Evolutionary game theory; Consumer
interaction and fashions; Diffusion of innovations.
William A. Brock
(Economics, University of Wisconsin, Madison): Interaction-based modelling;
Models of complexity in economics and finance; Models of complexity in chaos
theory and nonlinear science.
(Department of Economics, Politics, and Public Administration, Aalborg
University, Denmark): Microfoundations for macroeconomics using agent-based
methods (agent-based Keynesian economics); Modeling endogenous growth and
learning using Swarm.
(London Business School, UK): Electricity restructuring; Auction Protocols
for electricity markets; Multi-agent evolutionary modelling; Reinforcement
(Institute for Software Research International, Carnegie Mellon University,
Pittsburg, PA): Computational organizational theory; Social organizational
knowledge and information networks; How social networks, knowledge networks,
and informational networks interact to influence the emergence of groups.
(Swiss Federal Institute of Technology (ETH), Zurich): Agent-based
computational modeling; International relations theory; Nationalism,
integration, and disintegration processes; Historical sociology; RePast (Java
based toolkit for agent-based simulation).
(Dupree College of Management, Georgia Institute of Technology, Atlanta):
Finance; Studying the effects of
recursive Bayesian learning by agents in complex environments such as
(Economics, Cleveland State University, Ohio): Industrial organization;
Computational organization theory; Multi-agent adaptive systems; Applied game
(Sociology, University of Oxford, UK): Sociology of consumption; Social
selection mechanisms and learning; Innovation diffusion and information
transmission (particularly on the Internet); Social Networks; Qualitative
methods; Computer simulation.
(Economics, National Chengchi University, Taipei, Taiwan): Incorporating
learning into economic models; Genetic programming models of learning.
(Professor of Philosophy and Cognitive Science, University of Sussex, UK):
Embodied cognition; Connectionism; Neural nets and embodied action; Relation
between thought and language; Respective roles of computational,
representational, and dynamical analyses in cognitive science; Real-world
robotics and animate vision; Interplay between individual cognition and the
wider webs of social structure and technological artifact.
(Electronics and Computer Science, U of Southampton, UK): Adaptive
software trading agents; Complex adaptive systems; Artificial life;
Evolutionary computation (genetic algorithms).
(BTExact Technologies, Ipswich, UK): Agent-based computational modelling of
consumer populations; Consumer communication networks; Product adoption;
(CNR - Institute of Cognitive Sciences and Technology, Division of Artificial
Intelligence Cognitive Modelling and Interaction, Institute of Psychology,
National Research Council, Rome, Italy): Simulation of social behavior;
External social sources of constraints to cognitive agents' autonomy; Formal
models for representing and treating the mental attitudes involved in social
action, social groups, and collective agents; Emergence of norms.
(Maastricht Economic Research Institute on Innovation and Technology (MERIT),
the Netherlands, and Economics Department, University of Waterloo, Canada):
Economics of technology adoption; Dynamics of networks and network
structures; Economics of knowledge generation; Technological competition and
standardization; Consumption dynamics; Methodology.
Rachel T. A. Croson
(Operations and Information Management, Wharton School, University of
Pennsylvania): Negotiations and bargaining; Experimental economics;
Behavioral economics; Game theory; Microeconomic theory.
(Chair for Economic Policy, University of Bielefeld, Germany): Simulation
studies of imitation and innovation in markets; Genetic algorithms as a model
of social learning; Adaptive learning in games; Comparison of adaptive and
(Department of Economics, University of California, Santa Barbara): Global
environmental protection; Economic history; Applied micro; Computational
(Department of Geography, University of Maryland, College Park):
Agent-based simulation; Computational laboratories in economic geography;
Formation and effects of socio-economic networks in spatial
landscapes; Small-world networks.
Huw D. Dixon
(Department of Economics and Related Studies, University of York, UK):
Imperfect competition and macroeconomics with heterogeneous sectors; Bounded
rationality and evolutionary models of learning in industrial organization;
Policy coordination; Dynamic models of firm formation; Transition economies.
(Economics, Sant'Anna School of Advanced Studies, Pisa, Italy): Technical
change and industrial transformation; Innovation, organization, and economic
dynamics; Evolutionary economics.
(Economics, California State University, Northridge): Spatial Economics;
Evolution of urban structure.
(Department of Economics, University of Pittsburgh, Pennsylvania):
Incorporation of learning in computational economic models; Using genetic
algorithms to model how agents learn and adaptively update their forecasts.
(Amsterdam Study Centre for the Metropolitan Environment [AME], University of
Amsterdam, the Netherlands): Land use transportation planning and policy;
Long-term effects of multi-modal transportation infrastructure planning and
pricing policy in relation to the residential choice behavior of households;
Agent-based simulation within the framework of the AMADEUS research program.
(New York University, New York): Network economics.
(Centre for Policy Modelling, Manchester Metropolitan University, UK):
Philosophy and measurement of complexity; Critique of economic methodology;
Simulation methodology; Socially situated intelligence.
A. E. Eiben
(Business Mathematics and Informatics, Vrije Universiteit, Amsterdam):
Theo S. Eicher,
(Department of Economics, University of Washington, Seattle): Evolutionary
approach to technical change and growth; Technological innovation; R and D
Microfoundations; Search algorithms.
Joshua M. Epstein
(Economic Studies and Governance Studies, Brookings Institution, Washington,
D.C.): Sugarscape; Growing societies from the bottom up; Modelling of complex
social systems, with application to international security, environmental,
and policy areas.
(University of Freiburg, Germany): Agent-based computational
modelling of markets; Endogenous formation of value chains; Trade
(Sant'Anna School of Advanced Studies, Pisa, Italy): Local interaction models;
Evolution of social and economic networks; Learning; Endogenous interactions;
Economics of innovation and technical change.
(Laboratory of Computer Science, MIT, Cambridge, MA): Application of
artificial intelligence (AI) techniques in networks; Design of coordination
mechanisms for intelligent software agents using techniques and models from
AI, multi-agent systems, and economics.
J. Doyne Farmer
(Santa Fe Institute, New Mexico): Evolution and the efficiency of financial
(Economic Geography, Utrecht University, the Netherlands): Evolutionary
economics; Complexity theory (especially NK models); Scientometrics;
Geography of knowledge production; Economic geography.
(Library and Information Science, University of Illinois at
Urbana-Champaign): Technical and social aspects of organization-scale
information processing; Intelligent multi-agent systems; Enterprise
integration for continuously-learning agile firms.
(Economics, Hamilton College, Clinton, NY): Learning and agent interactions in
macroeconomics and finance; Disequilibrium dynamics.
(Psychology, Center for Adaptive Behavior and Cognition, University of
Munich, Germany): Models of bounded rationality; Social intelligence;
Ecological rationality; Heuristics of scientific discovery; Philosophy,
history, and methodology of the social sciences.
(Human Complex Systems Center, Department of Geography, UCLA, Westwood, CA):
Artificial culture; Experiments in synthetic anthropology; Computational
(Sociology, University of Surrey, Surrey, UK): Artificial social
systems; Computer simulation; Sociology of science and science policy
innovation; Sociology of the environment.
(Department of Economics, University of Massachusets, Amherst): Agent-based
evolutionary game dynamics; Evolution of strong reciprocity; Moral economy of
communities; Evolution of social norms.
(Computing Center, Russian Academy of Science, Moscow): Agent-based models
of markets; Transition economies.
(International Political Economy, University of Tsukuba, Japan): Co-evolution of individual behaviors and interaction structures; Networks and markets; Dynamics of collaboration networks
(Economics, University of Augsburg, Germany): Evolutionary economics.
(Institute of Agricultural Development in Central and Eastern Europe, Halle,
Germany): Agent-based modelling of structural change in agriculture;
Agricultural policy analysis; Multifunctional agriculture; Nonparametric
efficiency analysis; Application of genetic algorithms to land markets.
(Department of Economics, Johns Hopkins University, Baltimore): Industrial
organization; Political economy; Evolutionary economics; Game theory.
(Department of Anthropology, Emory University, Atlanta, Georgia): Biological
evolution of cultural transmission and learning capacities; Evolution of
cooperation; Common pool resource and public goods problems; Cross-cultural
experimental games; Economic behavior and ethnography among the Mapuche of
(Economics, Nottingham University Business School, UK): Spatial
and territorial effects in games; The emergence and co-evolution of behaviour
in learning populations; Artificial adaptive agents in economics; Computer
models of economic systems; The evolution of cooperation.
(Center for Nonlinear Dynamics in Economics and Finance - CeNDEF, University
of Amsterdam, The Netherlands): Complex adaptive systems; Multi-agent
systems; Evolutionary dynamics; Expectations and learning; Bounded
rationality; Bifurcations and chaos.
(Department of Economics, Brown University, Providence, Rhode Island): The
emergence of economic organization; Monetary exchange; Job creation and
destruction; Endogenous growth.
Bernardo A. Huberman
(Hewlett Packard Laboratories): Relation between the local
actions and global behavior of large distributed systems, both social and
computational (in particular, the Internet); Electronic markets.
(Department of Agricultural, Environmental, and Development Economics, Ohio
State University, Columbus): Interacting agents, spatial externalities, and
the evolution of land-use patterns.
Matthew O. Jackson
(Division of the Humanities and Social Sciences, California Institute of
Technology, Pasadena, California): Strategic models of social and economic
networks; Evolution of social and economic networks; Coalition and Party
Formation in legislative voting games; Reputation versus social learning.
(Intelligent Systems Laboratory, Swedish Institute of Computer Science,
Kista, Sweden): Software agents, electronic markets, and interactive
Marco A. Janssen
(School of Human Evolution and Social Change, Arizona State University, Tempe, AZ):
The consumat approach
(multi-agent modeling of consumer behavior); Complex adaptive systems;
Modeling human dimensions of global environmental change; Self-organization
of institutions; Interactive models for science-policy dialogue; Multi-agent
modeling and evolutionary computation; The collapse of ancient societies.
(Electronics and Computer Science, University of Southampton, UK):
Basic and applied research in agent-based computing; Process control; Business
process management (agent-enabled workflow); E-commerce; Telecommunications
network management; Virtual laboratories.
(Division of Social Sciences, International Christian University, Tokyo):
Agent-based computational finance; Macroeconomic dynamics; Econophysics.
Grigoris J. Karakoulas
(Department of Computer Science, University of Toronto, Canada): Multi-agent
computational market frameworks; Agents for intelligent workflow design,
monitoring, and decision support in enterprise information networks;
Application of neural networks and other nonlinear modelling and optimization
techniques for data analysis and decision-making in finance, manufacturing,
(University of Mannheim, Germany): Evolution and learning in spatial models.
(GRQAM - Groupement de Recherche en Économie Quantitative d'Aix
Marseille, France): Market organization and trading relationships; Trade
network structures; Endogenous interactions.
(Center for Mathematics and Computer Science - CWI, Amsterdam, the
Netherlands): Computational economic organization; Governance and matching;
Firms and markets; Repeated prisoner's dilemma.
Deddy Priatmodjo Koesrindartoto
(Economics, SBM-ITB, Bandung, Indonesia): Industrial organization, Financial
economics; Computational economics; Electricity markets; Market design.
(Political Science, University of Michigan, Ann Arbor): Computational
political economy; Political parties and electoral landscapes; Interest
groups, ideological bias, and Congressional committees; Development of
national political parties; Effects of multi-layered electoral competition in
federal political systems.
(Economics, Princeton University, Princeton, NJ): New trade theory
(consequences of increasing returns and imperfect competition); Spatial
economics; The self-organizing economy; The size distribution of cities;
(Institute of Economic Sciences, Wroclaw University, Poland): Evolutionary
approach to socio-economic development; Innovation processes,
entrepreneurship, and knowledge management; Technological change; History of
economic thought (e.g., Austrian Economics); Computer simulation of
Han La Poutre
(CWI, Amsterdam, the Netherlands): Economic and competitive games; Multiagent
systems; Intelligent algorithms; Evolutionary simulations of economic
markets; eBusiness applications.
(Graduate School of International Economics and Finance, Brandeis
University, Waltham, Massachusetts): Quantitative dynamics of
interacting systems of adaptive agents, and how these systems
replicate real world phenomena; Behavior of traders in financial
markets; Nonlinear behavior of financial and macroeconomic time
(Economics, Universita degli Studi di Trento, Italy, and Professor Emeritus,
Department of Economics, UCLA): Computable economics; Evolution of modern
macroeconomics; High inflations; Alternative monetary regimes; Transformation
of socialist systems.
(Department of Economics, University of Venezia, Ca'Foscari): Computability;
Learning; Neural networks as a model for boundedly rational economic actors;
Complexity and the spontaneous emergence of institutions; History of economic
thought (Adam Smith and induction).
(Department of Economics, University of Kiel, Germany): Agent-based
computational finance; Stock market dynamics; Speculative bubbles.
(School of Information, University of Michigan, Ann Arbor): Computational
market mechanisms and their applications to various distributed environments;
Dynamic agent learning in information economies; Economically-intelligent
(MIT Media Laboratory, Cambridge, Massachusetts): Software agents; Electronic
commerce; Artificial intelligence; Human-computer interaction;
Computer-supported collaborative work; Information filtering.
(Department of Economics, University of Trento, Italy): Application of
artificial intelligence methodologies to the study of decision making and
organizations; Learning and decision-making in non-Bayesian worlds;
Economics of information firms and organizations; Economics of innovation and
technological change; Game theory.
(Australian Graduate School of Management, University of New South
Wales, Sydney, Australia): Strategic behavior in markets with small
numbers of sellers; Application of economic theory to various social
issues (e.g., illicit use of drugs, environmental impacts of energy
use); Learning and adaptive behavior in oligopolies.
Roger A. McCain
(Economics, Drexel University, Philadelphia, Pennsylvania):
Agent-based computer simulation of dichotomous economic growth; A
framework for cognitive economics; Endogenous growth modelling using
cellular automata frameworks.
W. Bentley MacLeod
(Department of Economics, University of Southern California, Los Angeles):
Behavioral economics; Complexity, bounded rationality, and heuristic search;
Evolutionary bargaining; Labor economic issues.
(School of Informatics and Department of Computer Science, Indiana
University, Bloomington): Adaptive and evolutionary computation applied to
intelligent and distributed information agents; Interactions between learning
and evolution; Distributed decision making; Artificial life.
(Applied Statistics and Mathematics Department, University of Torino, Italy):
Agent-based simulation of complex organizations; Mathematical approaches to
organizations; Reinforcement learning; Financial structure and collusion.
(ESRC Centre for Research on Innovation and Competition, University of
Manchester, UK): Evolutionary economics and the modelling of evolutionary
processes in relation to innovation, competition, and economic growth.
Augusto Rupérez Micola
(Decision Sciences, IMD Business School, Lausanne, Switzerland): Market design; Market power; Energy markets; Experimental economics; Decision sciences.
John H. Miller
(Social and Decision Sciences, Carnegie Mellon University,
Pittsburgh, Pennsylvania): Computational economic modelling; Complex
adaptive behavior in social systems; Artificial adaptive agent
(MIT Media Lab and MIT AI Lab, Cambridge, Massachusetts): Human intellectual
structure and function (the society of mind); Imparting to machines the human
capacity for commonsense reasoning; Artificial intelligence; Cognitive
psychology; Computational linguistics; Robotics.
Philip E. Mirowski
(Economics, University of Notre Dame, Indiana): Computational economic
theory; Computational limits on market functions; Alternative evolutionary
scenarios in economics.
(Centre for Policy Modelling, Manchester Metropolitan University,
UK): Social simulation; Cognition; Adaptive agents; Methodology;
Climate modelling; Emergence; Transition economies; Crisis
J. Peter Murmann
(Graduate School of Management, Northwestern University, Evanston):
Evolutionary theory in management and organization theory; Evolutionary
theories in the social sciences.
(Institute for Land and Sea Transport Systems, Technical University Berlin, Germany): Agent-based simulations for transportation planning; Simulation of the economic decision-making that leads to demand for transportation; Micro-simulation of socio-economic systems that have a spatial component.
(Finance and Operations Management Department, University of Massachusetts,
Amherst, Massachusetts): Network models of large-scale financial,
transportation, and regional economic systems; Algorithms on serial and
parallel computer architectures to predict flows of funds, people, goods, and
(Wissenschaftszentrum Berlin fur Sozialforschung, Germany): Labor economics;
Endogenous matching functions; Nonlinear economic dynamics; Political
economics; Agent-based computational modeling; Applied econometrics.
Thomas H. Noe
(Finance, Tulane University, New Orleans, Louisiana): Genetic algorithms,
learning, and the dynamics of corporate takeovers; Financial security design
and adaptive learning.
James F. Nolan
(Agricultural Economics, University of Saskatchewan, Canada): Cellular automata and agent-based models of agriculture;
Spatial economics; Auction design; Productivity; Regulatory policy.
(Economics and Business, Tilberg University, the Netherlands):
Organizational dynamics; Agent-based transaction cost economics; New
(Department of Economics, University of Bonn): Evolutionary game theory;
Learning in games; Experimental economics; Industrial organization; Urban
Nienke A. Oomes
(Equatorial African Division, International Monetary Fund, Washington, D.C.):
Local interactions in macroeconomics; Persistent income inequality; Evolution
of markets; Trade networks.
John M. Orbell
(Political Science Department, University of Oregon, Eugene):
Agent-based computational modelling of socioeconomic systems; Evolution of
cooperation and trust; Coordination issues and social chess; Intersection of
evolutionary theory, cognitive science, and the study of human social
relations; Evolutionary psychology.
(Workshop in Political Theory and Policy Analysis, Indiana University,
Bloomington, IN): Common pool resource usage; Collective decision-making.
(Geography, Penn State University, University Park): Cellular automata and
graph based models applied to urban spatial phenomena; Internet geography;
Geocomputation and agent-based modelling.
(Department of Political Science, University of Chicago, Illinois, U.S.A.):
Emergent organization; Rise of the Medici, 1400-1434; Plea bargaining;
Federal budget process.
(Political Science Department and Center for Complex Systems, University of
Michigan, Ann Arbor, U.S.A.): Problem solving by heterogeneous agents; On
the emergence of cities; Diversity and optimality; Political institutions and
sorting in a Tiebout model.
(Geography, George Mason University, Fairfax, VA:) Development of integrated
socio-economic and biophysical models of land-use change using agent-based
modeling; geographic information systems; Behavioral economics applications
in environmental and resource economics.
Brett W. Parris
(Econometrics/Business Statistics, Monash University, Australia): Integrated development policy; agent-based modeling; climate change; complex systems science; conflict and terrorism; economic theory.
(Information Systems Department, School of Management, Boston University,
Boston, MA): Computational economics; Complex economic dynamics; Economics of
information systems, wireless communications, and mobile applications.
(Center for Research in Economics and Management, University of Rennes, France): Agent-based computational economics; Cognitive economics; Complex systems.
(Computer Science Department, Liverpool University): Evolution of truthful
signalling; Coevolving auction mechanism design and trading strategies.
(Director, Economics Web Institute, Italy): Evolutionary
microfoundations of macroeconomics, especially with respect to consumer and
Margaret M. Polski
(Institute for Development Strategies, Indiana University, Bloomington, and
A. T. Kearney, New York): Agent-based modelling; Economic development and
institutional change; Innovation and growth in the new economy; Institutional
evolution and change in U.S. commercial banking; Legislative games.
Michael J. Prietula
(Department of Information and Decision Sciences, Warrington College of
Business, University of Florida, Gainesville): Computational organizational
theory; Information systems; Cognitive science/human expertise.
Sandia National Laboratories,
Albuquerque, New Mexico): The Aspen model of the US economy.
(Economics, University of Augsburg, Germany): Decay innovation theory;
Evolutionary economics; Schumpeterian economics; Innovation networks;
Innovation and employment.
(Director, Center for the Study of Complex Systems (CSCS), University of
Michigan, Ann Arbor): Evolutionary algorithms; Emergence of cooperation and
other coordinated group structures in multi-agent coevolutionary systems;
(CWI, Center for Mathematics and Computer Science, Amsterdam, the Netherlands): Automated negotiation (especially in multi-issue negotiation models); Repeated and sequential auctions; Adaptive agent learning in electronic markets; Collaborative filtering and data mining; Applications to electronic commerce and transportation logistics.
(Harvard University, Cambridge): Game theory and experimental
economics; Market matching mechanisms in theory and practice.
(GREQAM, France): Multi-agent simulation; Non-financial markets; Importance
of information for price formation; Validation of agent-based models; Trust
in exchange; Ecological econmics; negotiation issues.
(Graduate School of Industrial Administration, Carnegie Mellon
University, Pittsburgh, Pennsylvania): Adaptive learning in
financial markets; Genetic algorithms and learning in rational
expectations models; Co-evolution and spatial interaction;
(Department of Economics, University of Maryland, College Park, MD):
Econometric and computational methods for understanding and predicting human
decision making over time and under uncertainty; Artificial intelligence and
automata trading in double auction markets.
(Director, Social Science Research Computing, University of Chicago, IL):
Development of RePast, a Java class framework, for social science simulation
(Computer Science Department, Carnegie Mellon University, Pittsburgh):
Design, analysis, and implementation of artificial intelligence
systems consisting of multiple agents; Vehicle routing;
Manufacturing planning and scheduling among multiple companies in
subcontracting networks; Classroom scheduling; Patient scheduling at
hospitals; Multiagent information gathering on the Web; Routing and
bandwidth allocation in multi-provider multi-consumer computer
networks; Electronic commerce.
(GREQAM, France): Agent-based macroeconomics with endogeneous money;
Jamel (Java Agent-based MacroEconomic Laboratory).
(McKinsey & Co., Rome Office, Italy): Market power effects in evolutionary
labor markets with adaptive search for partners; Agent-based computional
modeling of electric power markets; Behavior of traders in financial markets;
Nonlinear behavior of financial and macroeconomic time series.
(Economics, New York University, NY, and Hoover Institution, Stanford, CA):
Bounded rationality in macroeconomics; Incorporation of learning in economic
models; Genetic algorithm learning.
Thomas C. Schelling
(Economics, University of Maryland:) Micromotives and macrobehavior; Conflict
and bargaining theory; Military strategy and arms control; Policy issues
(energy and environment, foreign aid, international trade, racial segregation
and integration, ...).
(Political Science, UCLA, Los Angeles): Agent-based computational modelling
of the formation of political parties, housing segregation, and political
cognition; Swarm modelling.
(Economics, University of Notre Dame, Indiana): Economics of science;
Artificial intelligence in economics; Bounded rationality; Engineering
(Computing Center, Russian Academy of Sciences, Moscow): Modelling
transition economies; Computational economics and agent-based studies;
Studying self-organization processes in economic systems.
Gerald B. Sheblé
(Electrical Engineering, Iowa State University, Ames, Iowa): Agent-based
computational modelling of electric power markets; Electric power auction
market training simulator; Electric power strategy selector via genetic
algorithms; Electric power futures contract market simulator.
(Economics, Institute for Advanced Studies, Vienna, Austria): Nonlinear and
dynamic modeling; Learning theory; Computational/quantitative economics;
Asset pricing theory; Epistemology of economics.
Martin J. Shubik
(Cowles Foundation, Economics, Yale University, New Haven): Theory of money
and financial institutions; Behavior under risk; Economic warfare; Game
theory; Economics of cultural institutions. A separate
list of major works by Shubik
is also available.
(School of Computer Science, ASAP Group, University of Nottingham, UK): Application of agent-based modeling and simulation to study human-centric complex adaptive systems.
(Maastricht Economic Research Institute on Innovation and Technology (MERIT),
University of Maastricht, the Netherlands): Global economic change;
Innovation clustering; Innovation in complex technology spaces;
Self-organization of economic systems.
(Information Engineering, Chinese University of Hong Kong): Negotiation
agents; Automated negotiation; Game-theoretic approaches to negotiation
agents and e-commerce.
(Economics, University of Rennes, France): Local interaction models; Social
capital; Social networks; Spatial dynamics.
(Department of Economics, Iowa State University, Ames, Iowa): Agent-based
computational economics; Modeling decentralized market economies as
distributed local-interaction systems; Market design of restructured
wholesale power markets; Labor institutions and market performance; Formation
and evolution of trade networks under alternative market structures.
(Laboratoire de Statistique Appliquee et de Modelisation Stochastique
(SAMOS), Paris, France): Financial markets with interactive agents; Bubbles;
Peter M. Todd
(Center for Adaptive Behavior and Cognition, University of
Munich, Germany): Evolution of behavior; Simple heuristics for sequential
search, categorization, and multi-step processes; Psychological selection;
Rhythmic and time-based behavior; Connectionist models of cognition.
(Department of Political and Social Studies, University of Messina, Italy):
Chaos theory and entropy; Social complexity; Network analysis; Collective
behavior; Social simulation; Computational sociology; Connectionism;
Micro-macro linkage; Social change.
M. Utku Ünver
(Department of Economics, University of Pittsburgh, PA): Social learning
in market games using genetic algorithms; Experimental economics; Game
theory; Two-sided and one-sided matching; Auctions.
Daniel J. Veit
(Department of Economics and Business Engineering, University of
Karlsruhe, Germany): Agent-based market simulation, Derivation of
recommendations for participants in markets, Electronic negotiations,
Multidimensional matchmaking, Economic mechanism evaluation.
(Economics, Eindhoven Centre for Innovation Studies ECIS, Eindhoven
University of Technology, The Netherlands): Economic growth and its
relation to technological change; Evolutionary modeling (e.g., NK
landscapes); European patents.
(Department of Economics, Queen Mary and Westfield College, University of
London): Dynamics of interactive market processes; Emergent properties of
evolving market structures and outcomes.
(Director, Center for Urbgan Simulation and Policy Analysis, University of
Washington, Seattle): UrbanSim; Simulation of real estate markets; urban
development; Household and business location choices; Open source
computational environment for urban and environmental simulation.
(University of Fribourg (CH)): Software agents and liberal order;
Living-markets platform; Software-agent technology.
Janette Walde (born Aschenwald)
(Department of Economic Theory, Economic Policy, and Economic History, and
Department of Statistics, University of Innsbruck, Austria): Artificial
neural networks for classification and forecasting problems in economics;
Econometric methods; Empirical economics.
(Département de Physique, Ecole Normale Supérieure, Paris):
Complex system dynamics; Bounded rationality and socio-economic institutions;
Market organization; Information contagion; Sustainable development;
(Electrical Engineering and Computer Science, University of
Michigan): Computational market mechanisms and their applications
to various distributed environments.
Frank H. Westerhoff
(Department of Economics, University of Osnabrueck, Germany):
Financial market dynamics; Technical and fundamental trading rules; Nonlinear
dynamics and chaos; Bounded rationality and behavioral finance;
Regulation/design of financial markets.
(Economics, University of Alabama in Huntsville): Decision making when
agents are influenced by the decisions of others.
Ian F. Wilkinson
(School of Marketing, University of New South Wales, Australia): Evolution
of institutional and network structures; Structural dynamics of industrial
networks; the Kauffman NK model.
(Evolutionary Economics Unit, Max Planck Institute for Research into Economic
Systems, Jena, Germany): Evolutionary economics; Economic behaviour,
cognition, and social learning; Institutions and public choice; Market
process and industry dynamics; Long-term economic development and growth;
Austrian approach to economics.
(NASA Ames Research Center, Moffett Field, CA): Collective intelligence
(COIN); Reinforcement learning; Design of COINs for control of distributed
dynamical systems; Internet traffic routing.
(Agent Applications, Research, and Technology Group, Department of Computer
Science, University of Liverpool, UK): Intelligent agents and multi-agent
systems; Agent-based computing.
(iKuni Inc., Palo Alto, CA): Computational political economy; Social
architectures; Languages and toolkits for agent-based modelling.
(EnerSearch AB, Gothenburg, Sweden): Distributed resource allocation
(in particular, power load management); Market-oriented programming;
Software agents in electronic commerce.
(Economics, Universite Montesquieu Bordeaux IV, Pessac, France):
Evolutionary modelling and economic dynamics; Industry dynamics; Economics of
innovation; Economic growth; Industrial organization; Decision theory and the
theory of the firm.
H. Peyton Young
(Department of Economics, Johns Hopkins University, Baltimore, Maryland):
Individual strategy and social structure; Learning and evolution in games;
Bargaining and negotiation; Public finance; Political representation and
voting; Distributive justice.
(Department of Economics, Clark University, Worcester, MA): Evolutionary game theory; Agent-based modeling; Residential segregation; Silicon Valley; Entrepreneurship; Business relocation.
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