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Robert L Axtell

Biographic Data

ID3605651
NAMERobert L Axtell
GIVEN NAMESRobert L
FAMILY NAMEAxtell
SIGNATUREAXTELL R L
AFFILIATIONSGeorge Mason University
ORCID0000-0002-7187-2960
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS7
AUTHOR COUNT12
EDITOR COUNT0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2018
H-INDEX2
  • A computational approach to managing coupled human–environmental systems

    Open Access•Richard M Bailey, Ernesto Carrella et al.•ARTICLE•Sustainability Science•2018•Cited by: 1•References: 5

    Sustainable management of complex human–environment systems, and the essential services they provide, remains a major challenge, felt from local to global scales. These systems are typically highly dynamic and hard to predict, particularly in the context of rapid environmental change, where novel sets of conditions drive coupled socio-economic-environmental responses. Faced with these challenges, our tools for policy development, while informed b…

  • Complexity and Evolution Vol. 19

    Alan Kirman, David Sloan Wilson et al.•BOOK•Complexity and Evolution Vol. 19•2016

  • Chapter 5. Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley

    Robert L Axtell, Joshua M Epstein et al.•CHAPTER•Generative Social Science•2012

  • Chapter 8. The Emergence of Classes in a Multi-Agent Bargaining Model

    Robert L Axtell, Joshua M Epstein et al.•CHAPTER•Generative Social Science•2012

  • Chapter 7. Coordination in Transient Social Networks

    Robert L Axtell, Joshua M Epstein•CHAPTER•Generative Social Science•2012

  • Chapter 4. Understanding Anasazi Culture Change Through Agent-Based Modeling

    Jeffrey S Dean, Jeffrey Dean et al.•CHAPTER•Generative Social Science•2012

  • The Complexity of Exchange

    Open Access•Robert L Axtell, Robert Axtell•ARTICLE•The Economic Journal•2005•Cited by: 4•References: 22

    The computational complexity of two classes of market mechanisms is compared. First the Walrasian interpretation in which prices are centrally computed by an auctioneer. Recent results on the computational complexity are reviewed. The non-polynomial complexity of these algorithms makes Walrasian general equilibrium an implausible conception. Second, a decen-tralised picture of market processes is described, involving concurrent exchange within tr…

  • Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley

    Open Access•Robert L Axtell, Joshua M Epstein et al.•ARTICLE•Proceedings of the National…•2002

    Long House Valley in the Black Mesa area of northeastern Arizona (U.S.) was inhabited by the Kayenta Anasazi from about 1800 before Christ to about anno Domini 1300. These people were prehistoric ancestors of the modern Pueblo cultures of the Colorado Plateau. Paleoenvironmental research based on alluvial geomorphology, palynology, and dendroclimatology permits accurate quantitative reconstruction of annual fluctuations in potential agricultural …

  • Zipf Distribution of U.S. Firm Sizes

    Open Access•Robert L Axtell•ARTICLE•Science•2001

    Analyses of firm sizes have historically used data that included limited samples of small firms, data typically described by lognormal distributions. Using data on the entire population of tax-paying firms in the United States, I show here that the Zipf distribution characterizes firm sizes: the probability a firm is larger than size s is inversely proportional to s . These results hold for data from multiple years and for various definitions of …

  • Agent‐Based Modeling and Industrial Ecology

    Open Access•Robert L Axtell, Clinton J Andrews et al.•ARTICLE•Journal of Industrial Ecology•2001

  • Growing Artificial Societies

    Francis Fukuyama, Joshua M Epstein et al.•ARTICLE•Foreign Affairs•1997•Cited by: 2

  • Growing Artificial Societies

    Joshua M Epstein, Robert L Axtell et al.•BOOK•Growing Artificial Societies•1996

    How do social structures and group behaviors arise from the interaction of individuals? Growing Artificial Societies approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules. In their program, named Sugarscape, Epstein and Axtell begin the d…

  • The Complexity of Exchange

    Open Access•Robert L Axtell, Robert Axtell•ARTICLE•The Economic Journal•2005•Cited by: 4•References: 22

    The computational complexity of two classes of market mechanisms is compared. First the Walrasian interpretation in which prices are centrally computed by an auctioneer. Recent results on the computational complexity are reviewed. The non-polynomial complexity of these algorithms makes Walrasian general equilibrium an implausible conception. Second, a decen-tralised picture of market processes is described, involving concurrent exchange within tr…

  • Growing Artificial Societies

    Francis Fukuyama, Joshua M Epstein et al.•ARTICLE•Foreign Affairs•1997•Cited by: 2

  • A computational approach to managing coupled human–environmental systems

    Open Access•Richard M Bailey, Ernesto Carrella et al.•ARTICLE•Sustainability Science•2018•Cited by: 1•References: 5

    Sustainable management of complex human–environment systems, and the essential services they provide, remains a major challenge, felt from local to global scales. These systems are typically highly dynamic and hard to predict, particularly in the context of rapid environmental change, where novel sets of conditions drive coupled socio-economic-environmental responses. Faced with these challenges, our tools for policy development, while informed b…

  • Growing Artificial Societies

    Joshua M Epstein, Robert L Axtell et al.•BOOK•Growing Artificial Societies•1996

    How do social structures and group behaviors arise from the interaction of individuals? Growing Artificial Societies approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules. In their program, named Sugarscape, Epstein and Axtell begin the d…

  • Growing Artificial Societies

    Francis Fukuyama, Joshua M Epstein et al.•ARTICLE•Foreign Affairs•1997•Cited by: 2

  • Zipf Distribution of U.S. Firm Sizes

    Open Access•Robert L Axtell•ARTICLE•Science•2001

    Analyses of firm sizes have historically used data that included limited samples of small firms, data typically described by lognormal distributions. Using data on the entire population of tax-paying firms in the United States, I show here that the Zipf distribution characterizes firm sizes: the probability a firm is larger than size s is inversely proportional to s . These results hold for data from multiple years and for various definitions of …

  • Agent‐Based Modeling and Industrial Ecology

    Open Access•Robert L Axtell, Clinton J Andrews et al.•ARTICLE•Journal of Industrial Ecology•2001

  • Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley

    Open Access•Robert L Axtell, Joshua M Epstein et al.•ARTICLE•Proceedings of the National…•2002

    Long House Valley in the Black Mesa area of northeastern Arizona (U.S.) was inhabited by the Kayenta Anasazi from about 1800 before Christ to about anno Domini 1300. These people were prehistoric ancestors of the modern Pueblo cultures of the Colorado Plateau. Paleoenvironmental research based on alluvial geomorphology, palynology, and dendroclimatology permits accurate quantitative reconstruction of annual fluctuations in potential agricultural …

  • The Complexity of Exchange

    Open Access•Robert L Axtell, Robert Axtell•ARTICLE•The Economic Journal•2005•Cited by: 4•References: 22

    The computational complexity of two classes of market mechanisms is compared. First the Walrasian interpretation in which prices are centrally computed by an auctioneer. Recent results on the computational complexity are reviewed. The non-polynomial complexity of these algorithms makes Walrasian general equilibrium an implausible conception. Second, a decen-tralised picture of market processes is described, involving concurrent exchange within tr…

  • Chapter 5. Population Growth and Collapse in a Multiagent Model of the Kayenta Anasazi in Long House Valley

    Robert L Axtell, Joshua M Epstein et al.•CHAPTER•Generative Social Science•2012

  • Chapter 8. The Emergence of Classes in a Multi-Agent Bargaining Model

    Robert L Axtell, Joshua M Epstein et al.•CHAPTER•Generative Social Science•2012

  • Chapter 7. Coordination in Transient Social Networks

    Robert L Axtell, Joshua M Epstein•CHAPTER•Generative Social Science•2012

  • Chapter 4. Understanding Anasazi Culture Change Through Agent-Based Modeling

    Jeffrey S Dean, Jeffrey Dean et al.•CHAPTER•Generative Social Science•2012

  • Complexity and Evolution Vol. 19

    Alan Kirman, David Sloan Wilson et al.•BOOK•Complexity and Evolution Vol. 19•2016

  • A computational approach to managing coupled human–environmental systems

    Open Access•Richard M Bailey, Ernesto Carrella et al.•ARTICLE•Sustainability Science•2018•Cited by: 1•References: 5

    Sustainable management of complex human–environment systems, and the essential services they provide, remains a major challenge, felt from local to global scales. These systems are typically highly dynamic and hard to predict, particularly in the context of rapid environmental change, where novel sets of conditions drive coupled socio-economic-environmental responses. Faced with these challenges, our tools for policy development, while informed b…

Computer Science (5 works) · Economics (5 works) · Demography (3 works) · Political science (3 works) · Population (3 works) · Sociology (3 works) · Biology (2 works) · Business (2 works) · Ecology (2 works) · Engineering (2 works)

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