Introduction To Agent Based Economics

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Introduction to Agent-Based Economics

Author : Mauro Gallegati,Antonio Palestrini,Alberto Russo
Publisher : Academic Press
Page : 274 pages
File Size : 54,6 Mb
Release : 2017-08-03
Category : Business & Economics
ISBN : 9780128039038

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Introduction to Agent-Based Economics by Mauro Gallegati,Antonio Palestrini,Alberto Russo Pdf

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

Agent-Based Models in Economics

Author : Domenico Delli Gatti,Giorgio Fagiolo,Mauro Gallegati,Alberto Russo
Publisher : Cambridge University Press
Page : 261 pages
File Size : 53,9 Mb
Release : 2018-03-22
Category : Business & Economics
ISBN : 9781108414999

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Agent-Based Models in Economics by Domenico Delli Gatti,Giorgio Fagiolo,Mauro Gallegati,Alberto Russo Pdf

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

Economics with Heterogeneous Interacting Agents

Author : Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati
Publisher : Springer
Page : 205 pages
File Size : 51,9 Mb
Release : 2016-09-21
Category : Business & Economics
ISBN : 9783319440583

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Economics with Heterogeneous Interacting Agents by Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati Pdf

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.

Agent-based Models of the Economy

Author : R. Boero,M. Morini,M. Sonnessa,P. Terna
Publisher : Palgrave Macmillan
Page : 0 pages
File Size : 51,8 Mb
Release : 2015-06-29
Category : Business & Economics
ISBN : 1137339802

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Agent-based Models of the Economy by R. Boero,M. Morini,M. Sonnessa,P. Terna Pdf

Agent-based models are tools that provide researchers in economic fields with unprecedented analytical capabilities. This book describes the power of agent-based models along their methodology, and it provides several examples of applications spanning from public policy evaluation to financial markets.

Agent-Based Computational Economics Using NetLogo

Author : Romulus-Catalin Damaceanu
Publisher : Bentham Science Publishers
Page : 157 pages
File Size : 50,9 Mb
Release : 2013-02-01
Category : Computers
ISBN : 9781608054893

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Agent-Based Computational Economics Using NetLogo by Romulus-Catalin Damaceanu Pdf

Agent-based Computational Economics using NetLogo explores how researchers can create, use and implement multi-agent computational models in Economics by using NetLogo software platform. Problems of economic science can be solved using multi-agent modelling (MAM). This technique uses a computer model to simulate the actions and interactions of autonomous entities in a network, in order to analyze the effects on the entire economic system. MAM combines elements of game theory, complex systems, emergence and evolutionary programming. The Monte Carlo method is also used in this e-book to introduce random elements. The 11 models presented in this text simulate the simultaneous operations of several agents in an attempt to recreate and predict complex economic phenomena. This e-book explains the topic in a systematic manner, starting with an introduction for readers followed subsequently by methodology and implementation using NetLogo. The volume ends with conclusions based on the results of the experiments presented. The e-book is intended as a concise and vital resource for economists, applied mathematicians, social sciences scientists, systems analysts, operations researchers and numerical analysts

Economics as an Agent-Based Complex System

Author : H. Deguchi
Publisher : Springer Science & Business Media
Page : 270 pages
File Size : 47,6 Mb
Release : 2011-06-28
Category : Business & Economics
ISBN : 9784431539575

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Economics as an Agent-Based Complex System by H. Deguchi Pdf

In agent-based modeling the focus is very much on agent-based simulation, as simulation is a very important tool for agent-based modeling. We also use agent-based simulation in this book with a stress on the mathematical foundation of agent-based modeling. We introduce two original mathematical frameworks, a theory of SLD (Social Learning Dynamics) and an axiomatic theory of economic exchange (Exchange Algebra) among agents. Exchange algebra gives bottom-up reconstruction of SNA (System of National Accountings). SLD provides the concept of indirect control of socio-economic systems to manage structural change and its stability. We also compare agent-based simulation with gaming simulation and investigate the epistemological foundation of agent-based modeling.

Agent-Based Modelling in Economics

Author : Lynne Hamill,Nigel Gilbert
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 44,8 Mb
Release : 2016-01-19
Category : Social Science
ISBN : 9781118456071

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Agent-Based Modelling in Economics by Lynne Hamill,Nigel Gilbert Pdf

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.

Economics with Heterogeneous Interacting Agents

Author : Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati
Publisher : Springer
Page : 205 pages
File Size : 50,5 Mb
Release : 2018-04-22
Category : Business & Economics
ISBN : 3319829726

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Economics with Heterogeneous Interacting Agents by Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati Pdf

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.

An Introduction to Agent-Based Modeling

Author : Uri Wilensky,William Rand
Publisher : MIT Press
Page : 505 pages
File Size : 53,6 Mb
Release : 2015-04-03
Category : Computers
ISBN : 9780262731898

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An Introduction to Agent-Based Modeling by Uri Wilensky,William Rand Pdf

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

Agent-based Models of the Economy

Author : R. Boero,M. Morini,M. Sonnessa,P. Terna
Publisher : Springer
Page : 225 pages
File Size : 51,5 Mb
Release : 2015-06-16
Category : Business & Economics
ISBN : 9781137339812

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Agent-based Models of the Economy by R. Boero,M. Morini,M. Sonnessa,P. Terna Pdf

Agent-based models are tools that provide researchers in economic fields with unprecedented analytical capabilities. This book describes the power of agent-based models along their methodology, and it provides several examples of applications spanning from public policy evaluation to financial markets.

Economic Dynamics, second edition

Author : John Stachurski
Publisher : MIT Press
Page : 395 pages
File Size : 52,8 Mb
Release : 2022-08-16
Category : Business & Economics
ISBN : 9780262544771

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Economic Dynamics, second edition by John Stachurski Pdf

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website.

Agent-Based Computational Modelling

Author : Francesco C. Billari
Publisher : Taylor & Francis
Page : 684 pages
File Size : 51,5 Mb
Release : 2006-03-13
Category : Business & Economics
ISBN : 379081640X

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Agent-Based Computational Modelling by Francesco C. Billari Pdf

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

Agent-Based and Individual-Based Modeling

Author : Steven F. Railsback,Volker Grimm
Publisher : Princeton University Press
Page : 358 pages
File Size : 42,5 Mb
Release : 2019-03-26
Category : Science
ISBN : 9780691190839

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Agent-Based and Individual-Based Modeling by Steven F. Railsback,Volker Grimm Pdf

The essential textbook on agent-based modeling—now fully updated and expanded Agent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these systems. Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory. This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more. A hands-on introduction that guides students from conceptual design to computer implementation to analysis Filled with new examples and exercises and compatible with the latest version of NetLogo Ideal for students and researchers across the natural and social sciences Written by two leading practitioners Supported by extensive instructional materials at www.railsback-grimm-abm-book.com

Agent Based Models for Economic Policy Advice

Author : Blake LeBaron,Peter Winker
Publisher : Walter de Gruyter GmbH & Co KG
Page : 160 pages
File Size : 54,9 Mb
Release : 2016-11-21
Category : Business & Economics
ISBN : 9783110508840

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Agent Based Models for Economic Policy Advice by Blake LeBaron,Peter Winker Pdf

This special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.

Introduction to Discrete Event Simulation and Agent-based Modeling

Author : Theodore T. Allen
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 42,8 Mb
Release : 2011-01-12
Category : Technology & Engineering
ISBN : 9780857291394

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Introduction to Discrete Event Simulation and Agent-based Modeling by Theodore T. Allen Pdf

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.