Economics with Heterogeneous Interacting Agents

Economics with Heterogeneous Interacting Agents

Author: Alessandro Caiani

Publisher: Springer

Published: 2016-09-21

Total Pages: 219

ISBN-13: 3319440586

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This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.


Nonlinear Dynamics and Heterogeneous Interacting Agents

Nonlinear Dynamics and Heterogeneous Interacting Agents

Author: Thomas Lux

Publisher: Springer Science & Business Media

Published: 2006-06-06

Total Pages: 326

ISBN-13: 3540272968

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Economic application of nonlinear dynamics, microscopic agent-based modelling, and the use of artificial intelligence techniques as learning devices of boundedly rational actors are among the most exciting interdisciplinary ventures of economic theory over the past decade. This volume provides us with a most fascinating series of examples on "complexity in action" exemplifying the scope and explanatory power of these innovative approaches.


Economics with Heterogeneous Interacting Agents

Economics with Heterogeneous Interacting Agents

Author: Alan Kirman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 340

ISBN-13: 3642564720

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This book analyses situations in which individual agents, who might be different from each other, interact and produce behaviour on the aggregate level which does not correspond to that of the average actor. This leads to aggregate outcomes which would be impossible to explain in a more standard approach. Aggregation generates structure and, as a result, interaction and heterogeneity can be handled and we no longer have to rely on the over-simplified reduction of the behaviour of the economy to that of a "rational" individual.


Agent-Based Models in Economics

Agent-Based Models in Economics

Author: Domenico Delli Gatti

Publisher: Cambridge University Press

Published: 2018-03-22

Total Pages: 261

ISBN-13: 1108414990

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The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.


Artificial Economics

Artificial Economics

Author: Ruben Mercado

Publisher: Cambridge University Press

Published: 2021-11-04

Total Pages: 197

ISBN-13: 1316517098

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An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.


Introduction to Agent-Based Economics

Introduction to Agent-Based Economics

Author: Mauro Gallegati

Publisher: Academic Press

Published: 2017-08-03

Total Pages: 276

ISBN-13: 0128039035

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Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE). It illustrates ACE's theoretical foundations, which are rooted in the application of the concept of complexity to the social sciences, and it depicts its growth and development from a non-linear out-of-equilibrium approach to a state-of-the-art agent-based macroeconomics. The book helps readers gain a better understanding of the limits and perspectives of the ACE models and their capacity to reproduce economic phenomena and empirical patterns. - Reviews the literature of agent-based computational economics - Analyzes approaches to agents' expectations - Covers one of the few large macroeconomic agent-based models, the Modellaccio - Illustrates both analytical and computational methodologies for producing tractable solutions of macro ACE models - Describes diffusion and amplification mechanisms - Depicts macroeconomic experiments related to ACE implementations


Network Theory and Agent-Based Modeling in Economics and Finance

Network Theory and Agent-Based Modeling in Economics and Finance

Author: Anindya S. Chakrabarti

Publisher: Springer Nature

Published: 2019-10-23

Total Pages: 454

ISBN-13: 9811383197

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This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.


Beyond the Representative Agent

Beyond the Representative Agent

Author: Mauro Gallegati

Publisher: Edward Elgar Publishing

Published: 1999

Total Pages: 372

ISBN-13:

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The authors argue for an approach to economic analysis which regards the economy as an interactive system with heterogenous agents and not a system which treats aggregates as some representative individual. They then apply this approach to macro- and micro-analyses including monetary policy and firms, technological innovation and the insider-outsider model. They find that this approach proves more fruitful in explaining empirical phenomena than much of the existing theory.


Agent-Based Modelling in Economics

Agent-Based Modelling in Economics

Author: Lynne Hamill

Publisher: John Wiley & Sons

Published: 2016-01-19

Total Pages: 256

ISBN-13: 1118456076

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Agent-based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent-based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent-based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent-based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent-based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.