Description

Book Synopsis
Edited by several of the leading figures in the field, this is the first book to provide a state-of-the-art, accessibly written methodological introduction to the tools and techniques of agent-based modelling. Using these building blocks, readers will learn how to design, simulate, and validate agent-based models in economics.

Trade Review
'Some 25 years ago, Frank Hahn a leading economic theorist said, '… wildly complex systems need simulating … while there will be work for the computer scientist, I very much doubt that economists will be able to establish general propositions in any but very special examples'. Economists have reacted by saying 'show us an alternative'. This book does just that. It provides the elements of an alternative computational approach in which aggregate phenomena such as crises do not appear from the blue, but emerge from the interaction between simple but heterogeneous agents.' Alan Kirman, University of Aix-Marseille III
'The authors conceive of economies as complex systems of heterogeneous interacting agents with bounded rationality and limited information, and they view agent-based modeling as a necessary tool for the exploration of such systems. In this book the authors provide a comprehensive introduction to agent-based modeling. Although macroeconomic applications are stressed, the coverage of topics such as rationality, behavior, expectations, and learning will be of value for many other applications as well. A particularly welcome aspect of the book is its attention to historical antecedents and its inclusion of chapters devoted to empirical validation and estimation issues.' Leigh Tesfatsion, Iowa State University

Table of Contents
1. Introduction; 2. Agent-based computational economics: what, why, when; 3. Agent-based models as recursive systems; 4. Rationality, behaviour and expectations; 5. Agents' behaviour and learning; 6. Interaction; 7. The agent-based experiment; 8. Empirical validation of agent-based models; 9. Estimation of agent-based models; 10. Epilogue.

AgentBased Models in Economics

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    £25.64

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    RRP £26.99 – you save £1.35 (5%)

    Order before 4pm today for delivery by Fri 26 Jun 2026.

    A Paperback by Domenico Delli Gatti, Giorgio Fagiolo, Mauro Gallegati

    15 in stock


      View other formats and editions of AgentBased Models in Economics by Domenico Delli Gatti

      Publisher: Cambridge University Press
      Publication Date: 3/22/2018 12:00:00 AM
      ISBN13: 9781108400046, 978-1108400046
      ISBN10: 1108400043

      Description

      Book Synopsis
      Edited by several of the leading figures in the field, this is the first book to provide a state-of-the-art, accessibly written methodological introduction to the tools and techniques of agent-based modelling. Using these building blocks, readers will learn how to design, simulate, and validate agent-based models in economics.

      Trade Review
      'Some 25 years ago, Frank Hahn a leading economic theorist said, '… wildly complex systems need simulating … while there will be work for the computer scientist, I very much doubt that economists will be able to establish general propositions in any but very special examples'. Economists have reacted by saying 'show us an alternative'. This book does just that. It provides the elements of an alternative computational approach in which aggregate phenomena such as crises do not appear from the blue, but emerge from the interaction between simple but heterogeneous agents.' Alan Kirman, University of Aix-Marseille III
      'The authors conceive of economies as complex systems of heterogeneous interacting agents with bounded rationality and limited information, and they view agent-based modeling as a necessary tool for the exploration of such systems. In this book the authors provide a comprehensive introduction to agent-based modeling. Although macroeconomic applications are stressed, the coverage of topics such as rationality, behavior, expectations, and learning will be of value for many other applications as well. A particularly welcome aspect of the book is its attention to historical antecedents and its inclusion of chapters devoted to empirical validation and estimation issues.' Leigh Tesfatsion, Iowa State University

      Table of Contents
      1. Introduction; 2. Agent-based computational economics: what, why, when; 3. Agent-based models as recursive systems; 4. Rationality, behaviour and expectations; 5. Agents' behaviour and learning; 6. Interaction; 7. The agent-based experiment; 8. Empirical validation of agent-based models; 9. Estimation of agent-based models; 10. Epilogue.

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