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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.
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.
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