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This book aims to answer two questions that are fundamental to the
study of agent-based economic models: what is agent-based
computational economics and why do we need agent-based economic
modelling of economy? This book provides a review of the
development of agent-based computational economics (ACE) from a
perspective on how artificial economic agents are designed under
the influences of complex sciences, experimental economics,
artificial intelligence, evolutionary biology, psychology,
anthropology and neuroscience. This book begins with a historical
review of ACE by tracing its origins. From a modelling viewpoint,
ACE brings truly decentralized procedures into market analysis,
from a single market to the whole economy. This book also reviews
how experimental economics and artificial intelligence have shaped
the development of ACE. For the former, the book discusses how ACE
models can be used to analyse the economic consequences of
cognitive capacity, personality and cultural inheritance. For the
latter, the book covers the various tools used to construct
artificial adaptive agents, including reinforcement learning, fuzzy
decision rules, neural networks, and evolutionary computation. This
book will be of interest to graduate students researching
computational economics, experimental economics, behavioural
economics, and research methodology.
There is no doubt that behavioral economics is becoming a dominant
lens through which we think about economics. Behavioral economics
is not a single school of thought but representative of a range of
approaches, and uniquely, this volume presents an overview of them.
The wide spectrum of international contributors each provides an
exploration of a central approach, aspect or topic in behavorial
economics. Taken together, the whole volume provides a
comprehensive overview of the subject which considers both key
developments and future possibilities. Part One presents several
different approaches to behavioural economics, including George
Katona, Ken Boulding, Harvey Leibenstein, Vernon Smith, Herbert
Simon, Gerd Gigerenzer, Daniel Kahneman, and Richard Thaler. This
section looks at the origins and development of behavioral
economics and compares and contrasts the work of these scholars who
have been so influential in making this area so prominent. Part Two
presents applications of behavioural economics including nudging;
heuristics; emotions and morality; behavioural political economy,
education, and economic innovation. The Routledge Handbook of
Behavioral Economics is ideal for advanced economics students and
faculty who are looking for a complete state-of-the-art overview of
this dynamic field.
This book is the result of a multi-year research project led and
sponsored by the University of Chieti-Pescara, National Chengchi
University, University of Salamanca, and Osaka University. It is
the fifth volume to emerge from that international project, held
under the aegis of the United Nations Academic Impact in 2020. All
the essays in this volume were (virtually) discussed at the
University of L'Aquila as the venue of the 2nd International
Conference on Decision Economics, a three-day global gathering of
approximately one hundred scholars and practitioners-and were
subjected to thorough peer review by leading experts in the field.
The essays reflect the extent, diversity, and richness of several
research areas, both normative and descriptive, and are an
invaluable resource for graduate-level and PhD students, academics,
researchers, policymakers and other professionals, especially in
the social and cognitive sciences. Given its interdisciplinary
scope, the book subsequently delivers new approaches on how to
contribute to the future of economics, providing alternative
explanations for various socio-economic issues such as computable
humanities; cognitive, behavioural, and experimental perspectives
in economics; data analysis and machine learning as well as
research areas at the intersection of computer science, artificial
intelligence, mathematics, and statistics; agent-based modelling
and the related. The editors are grateful to the scientific
committee for its continuous support throughout the research
project as well as to the many participants for their insightful
comments and always probing questions. In any case, the
collaboration involved in the project extends far beyond the group
of authors published in this volume and is reflected in the quality
of the essays published over the years.
There is no doubt that behavioral economics is becoming a dominant
lens through which we think about economics. Behavioral economics
is not a single school of thought but representative of a range of
approaches, and uniquely, this volume presents an overview of them.
The wide spectrum of international contributors each provides an
exploration of a central approach, aspect or topic in behavorial
economics. Taken together, the whole volume provides a
comprehensive overview of the subject which considers both key
developments and future possibilities. Part One presents several
different approaches to behavioural economics, including George
Katona, Ken Boulding, Harvey Leibenstein, Vernon Smith, Herbert
Simon, Gerd Gigerenzer, Daniel Kahneman, and Richard Thaler. This
section looks at the origins and development of behavioral
economics and compares and contrasts the work of these scholars who
have been so influential in making this area so prominent. Part Two
presents applications of behavioural economics including nudging;
heuristics; emotions and morality; behavioural political economy,
education, and economic innovation. The Routledge Handbook of
Behavioral Economics is ideal for advanced economics students and
faculty who are looking for a complete state-of-the-art overview of
this dynamic field.
This book is based on the International Conference on Decision
Economics (DECON 2019). Highlighting the fact that important
decision-making takes place in a range of critical subject areas
and research fields, including economics, finance, information
systems, psychology, small and international business, management,
operations, and production, the book focuses on analytics as an
emerging synthesis of sophisticated methodology and large data
systems used to guide economic decision-making in an increasingly
complex business environment. DECON 2019 was organised by the
University of Chieti-Pescara (Italy), the National Chengchi
University of Taipei (Taiwan), and the University of Salamanca
(Spain), and was held at the Escuela politecnica Superior de Avila,
Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man
and Cybernetics Society, Spain Section Chapter, and IEEE Spain
Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global
Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta
de Castilla y Leon, Spain (ID: SA267P18-Project co-financed with
FEDER funds)
The special session on Decision Economics (DECON) is a scientific
forum held annually, which is focused on sharing ideas, projects,
research results, models, and experiences associated with the
complexity of behavioural decision processes and socio-economic
phenomena. In 2018, DECON was held at Campus Tecnologico de la
Fabrica de Armas, University of Castilla-La Mancha, Toledo, Spain,
as part of the 15th International Conference on Distributed
Computing and Artificial Intelligence. For the third consecutive
year, this book have drawn inspiration from Herbert A. Simon's
interdisciplinary legacy and, in particular, is devoted to designs,
models, and techniques for boundedly rational decisions, involving
several fields of study and expertise. It is worth noting that the
recognition of relevant decision-making takes place in a range of
critical subject areas and research fields, including economics,
finance, information systems, small and international business
management, operations, and production. Therefore, decision-making
issues are of fundamental importance in all branches of economics
addressed with different methodological approaches. As a matter of
fact, the study of decision-making has become the focus of intense
research efforts, both theoretical and applied, forming a veritable
bridge between theory and practice as well as science and business
organisations, whose pillars are based on insightful cutting-edge
experimental, behavioural, and computational approaches on the one
hand, and celebrating the value of science as well as the close
relationship between economics and complexity on the other. In this
respect, the international scientific community acknowledges
Herbert A. Simon's research endeavours to understand the processes
involved in economic decision-making and their implications for the
advancement of economic professions. Within the field of
decision-making, indeed, Simon has become a mainstay of bounded
rationality and satisficing. His rejection of the standard
(unrealistic) decision-making models adopted by neoclassical
economists inspired social scientists worldwide with the purpose to
develop research programmes aimed at studying decision-making
empirically, experimentally, and computationally. The main
achievements concern decision-making for individuals, firms,
markets, governments, institutions, and, last but not least,
science and research. This book of selected papers tackles these
issues that Simon broached in a professional career spanning more
than sixty years. The Editors of this book dedicated it to Herb.
This edited volume focuses on big data implications for
computational social science and humanities from management to
usage. The first part of the book covers geographic data, text
corpus data, and social media data, and exemplifies their concrete
applications in a wide range of fields including anthropology,
economics, finance, geography, history, linguistics, political
science, psychology, public health, and mass communications. The
second part of the book provides a panoramic view of the
development of big data in the fields of computational social
sciences and humanities. The following questions are addressed: why
is there a need for novel data governance for this new type of
data?, why is big data important for social scientists?, and how
will it revolutionize the way social scientists conduct research?
With the advent of the information age and technologies such as Web
2.0, ubiquitous computing, wearable devices, and the Internet of
Things, digital society has fundamentally changed what we now know
as "data", the very use of this data, and what we now call
"knowledge". Big data has become the standard in social sciences,
and has made these sciences more computational. Big Data in
Computational Social Science and Humanities will appeal to graduate
students and researchers working in the many subfields of the
social sciences and humanities.
The special session on Decision Economics (DECON) is a scientific
forum held annually and intended to share ideas, projects, research
results, models and experiences associated with the complexity of
behavioural decision processes and socio-economic phenomena. DECON
2017 was held at the Polytechnic of Porto, ISEP, Portugal, as part
of the 14th International Conference on Distributed Computing and
Artificial Intelligence. For the second consecutive year, the
Editors of this book have drawn inspiration from Herbert A. Simon's
immense body of work and argue that Simon precipitated something
akin to a revolution in microeconomics focused on the concept of
decision-making. Further, it is worth noting that the recognition
of relevant decision-making takes place in a range of critical
subject areas and research fields, including economics, finance,
information systems, small and international business management,
operations, and production. Therefore, decision-making issues are
of fundamental importance in all branches of economics addressed
both deductively and inductively. Not surprisingly, the study of
decision-making has seen growing empirical research efforts in the
economic literature over the last sixty years and, more recently, a
variety of insightful cutting-edge experimental, behavioural and
computational approaches. Additionally, the awareness regarding
generalizations and reductions to express economic concepts has
led, on the one hand, to an increasing risk of spreading the
language of mathematics as a rhetorical tool and, on the other
hand, to an oversimplification and overlooking of some crucial
details, especially when it comes to human decisions and, hence,
economic behaviour. That awareness, however, has helped to produce
an extraordinary volume of empirical research aimed at discovering
how economic agents cope with complex decisions. In this sense, the
international scientific community acknowledges Herbert A. Simon's
research endeavours to understand the processes involved in
economic decision-making and their implications for the advancement
of economic professions. Within the field of decision-making,
indeed, Simon's rejection of the standard decision-making models
used in neoclassical economics inspired social scientists worldwide
to develop research programmes in order to study decision-making
empirically. The main achievements concern decision-making for
individuals, firms, markets, governments, institutions, and, last
but not least, science and research.
This volume is a post-conference publication of the 4th World
Congress on Social Simulation (WCSS), with contents selected from
among the 80 papers originally presented at the conference. WCSS is
a biennial event, jointly organized by three scientific communities
in computational social science, namely, the Pacific-Asian
Association for Agent-Based Approach in Social Systems Sciences
(PAAA), the European Social Simulation Association (ESSA), and the
Computational Social Science Society of the Americas (CSSSA). It
is, therefore, currently the most prominent conference in the area
of agent-based social simulation. The papers selected for this
volume give a holistic view of the current development of social
simulation, indicating the directions for future research and
creating an important archival document and milestone in the
history of computational social science. Specifically, the papers
included here cover substantial progress in artificial financial
markets, macroeconomic forecasting, supply chain management, bank
networks, social networks, urban planning, social norms and group
formation, cross-cultural studies, political party competition,
voting behavior, computational demography, computational
anthropology, evolution of languages, public health and epidemics,
AIDS, security and terrorism, methodological and epistemological
issues, empirical-based agent-based modeling, modeling of
experimental social science, gaming simulation, cognitive agents,
and participatory simulation. Furthermore, pioneering studies in
some new research areas, such as the theoretical foundations of
social simulation and categorical social science, also are included
in the volume.
Agent-based modeling/simulation is an emergent approach to the
analysis of social and economic systems. It provides a bottom-up
experimental method to be applied to social sciences such as
economics, management, sociology, and politics as well as some
engineering fields dealing with social activities. This book
includes selected papers presented at the Sixth International
Workshop on Agent-Based Approaches in Economic and Social Complex
Systems held in Taipei in 2009. We have 39 presentations in the
conference, and 14 papers are selected to be included in this
volume. These 14 papers are then grouped into six parts:
Agent-based financial markets; Financial forecasting and
investment; Cognitive modeling of agents; Complexity and policy
analysis; Agent-based modeling of good societies; and Miscellany.
The research presented here shows the state of the art in this
rapidly growing field.
This volume is a post-conference publication of the 4th World
Congress on Social Simulation (WCSS), with contents selected from
among the 80 papers originally presented at the conference. WCSS is
a biennial event, jointly organized by three scientific communities
in computational social science, namely, the Pacific-Asian
Association for Agent-Based Approach in Social Systems Sciences
(PAAA), the European Social Simulation Association (ESSA), and the
Computational Social Science Society of the Americas (CSSSA). It
is, therefore, currently the most prominent conference in the area
of agent-based social simulation. The papers selected for this
volume give a holistic view of the current development of social
simulation, indicating the directions for future research and
creating an important archival document and milestone in the
history of computational social science. Specifically, the papers
included here cover substantial progress in artificial financial
markets, macroeconomic forecasting, supply chain management, bank
networks, social networks, urban planning, social norms and group
formation, cross-cultural studies, political party competition,
voting behavior, computational demography, computational
anthropology, evolution of languages, public health and epidemics,
AIDS, security and terrorism, methodological and epistemological
issues, empirical-based agent-based modeling, modeling of
experimental social science, gaming simulation, cognitive agents,
and participatory simulation. Furthermore, pioneering studies in
some new research areas, such as the theoretical foundations of
social simulation and categorical social science, also are included
in the volume.
After a decade of development, genetic algorithms and genetic
programming have become a widely accepted toolkit for computational
finance. Genetic Algorithms and Genetic Programming in
Computational Finance is a pioneering volume devoted entirely to a
systematic and comprehensive review of this subject. Chapters cover
various areas of computational finance, including financial
forecasting, trading strategies development, cash flow management,
option pricing, portfolio management, volatility modeling,
arbitraging, and agent-based simulations of artificial stock
markets. Two tutorial chapters are also included to help readers
quickly grasp the essence of these tools. Finally, a menu-driven
software program, Simple GP, accompanies the volume, which will
enable readers without a strong programming background to gain
hands-on experience in dealing with much of the technical material
introduced in this work.
After a decade's development, evolutionary computation (EC) proves
to be a powerful tool kit for economic analysis. While the demand
for this equipment is increasing, there is no volume exclusively
written for economists. This volume for the first time helps
economists to get a quick grasp on how EC may support their
research. A comprehensive coverage of the subject is given, that
includes the following three areas: game theory, agent-based
economic modelling and financial engineering. Twenty leading
scholars from each of these areas contribute a chapter to the
volume. The reader will find himself treading the path of the
history of this research area, from the fledgling stage to the
burgeoning era. The results on games, labour markets, pollution
control, institution and productivity, financial markets, trading
systems design and derivative pricing, are new and interesting for
different target groups. The book also includes informations on web
sites, conferences, and computer software.
This book aims to answer two questions that are fundamental to the
study of agent-based economic models: what is agent-based
computational economics and why do we need agent-based economic
modelling of economy? This book provides a review of the
development of agent-based computational economics (ACE) from a
perspective on how artificial economic agents are designed under
the influences of complex sciences, experimental economics,
artificial intelligence, evolutionary biology, psychology,
anthropology and neuroscience. This book begins with a historical
review of ACE by tracing its origins. From a modelling viewpoint,
ACE brings truly decentralized procedures into market analysis,
from a single market to the whole economy. This book also reviews
how experimental economics and artificial intelligence have shaped
the development of ACE. For the former, the book discusses how ACE
models can be used to analyse the economic consequences of
cognitive capacity, personality and cultural inheritance. For the
latter, the book covers the various tools used to construct
artificial adaptive agents, including reinforcement learning, fuzzy
decision rules, neural networks, and evolutionary computation. This
book will be of interest to graduate students researching
computational economics, experimental economics, behavioural
economics, and research methodology.
After a decade of development, genetic algorithms and genetic
programming have become a widely accepted toolkit for computational
finance. Genetic Algorithms and Genetic Programming in
Computational Finance is a pioneering volume devoted entirely to a
systematic and comprehensive review of this subject. Chapters cover
various areas of computational finance, including financial
forecasting, trading strategies development, cash flow management,
option pricing, portfolio management, volatility modeling,
arbitraging, and agent-based simulations of artificial stock
markets. Two tutorial chapters are also included to help readers
quickly grasp the essence of these tools. Finally, a menu-driven
software program, Simple GP, accompanies the volume, which will
enable readers without a strong programming background to gain
hands-on experience in dealing with much of the technical material
introduced in this work.
After a decade's development, evolutionary computation (EC) proves
to be a powerful tool kit for economic analysis. While the demand
for this equipment is increasing, there is no volume exclusively
written for economists. This volume for the first time helps
economists to get a quick grasp on how EC may support their
research. A comprehensive coverage of the subject is given, that
includes the following three areas: game theory, agent-based
economic modelling and financial engineering. Twenty leading
scholars from each of these areas contribute a chapter to the
volume. The reader will find himself treading the path of the
history of this research area, from the fledgling stage to the
burgeoning era. The results on games, labour markets, pollution
control, institution and productivity, financial markets, trading
systems design and derivative pricing, are new and interesting for
different target groups. The book also includes informations on web
sites, conferences, and computer software.
This title brings together frontier research on complex economic
systems, heterogeneous interacting agents, bounded rationality, and
nonlinear dynamics in economics. The book contains the proceedings
of the CEF2015 (21st Computing in Economics in Finance), held 20-22
June 2015 in Taipei, Taiwan, and addresses some of the important
driving forces for various emergent properties in economies, when
viewed as complex systems. The breakthroughs reported in this book
are a result of an interdisciplinary approach and simulation
remains the unifying theme for these papers as they deal with a
wide range of topics in economics. The text is a valuable addition
to the efforts in promoting the complex systems view in economic
science. The computational experiments reported in the book are
both transparent and replicable. Complex System Modeling and
Simulation in Economics and Finance is useful for graduate courses
of complex systems, with particular focus on economics and finance.
At the same time it serves as a good overview for researchers who
are interested in the topic.
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Artificial Intelligence for Communications and Networks - 4th EAI International Conference, AICON 2022, Hiroshima, Japan, November 30 - December 1, 2022, Proceedings (1st ed. 2023)
Yasushi Kambayashi, Ngoc Thanh Nguyen, Shu-Heng Chen, Petre Dini, Munehiro Takimoto
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R1,609
Discovery Miles 16 090
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Ships in 12 - 17 working days
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This book, AICON 2022, constitutes the post-conference proceedings
of the 4th EAI International Conference on Artificial Intelligence
for Communications and Networks, AICON 2022, held in Hiroshima,
Japan, inĀ November 30- December 1, 2022. The 9 full papers
and 4 short papers were carefully reviewed and selected from 36
submissions. The papers detail research in the areas of AI and
communication systems related to intelligent systems and
computational intelligence for communication and networks. They are
organized in topical sections on AI and networks; machine learning;
and evolutionary computation.
Agent-based modeling/simulation is an emergent approach to the
analysis of social and economic systems. It provides a bottom-up
experimental method to be applied to social sciences such as
economics, management, sociology, and politics as well as some
engineering fields dealing with social activities. This book
includes selected papers presented at the Sixth International
Workshop on Agent-Based Approaches in Economic and Social Complex
Systems held in Taipei in 2009. We have 39 presentations in the
conference, and 14 papers are selected to be included in this
volume. These 14 papers are then grouped into six parts:
Agent-based financial markets; Financial forecasting and
investment; Cognitive modeling of agents; Complexity and policy
analysis; Agent-based modeling of good societies; and Miscellany.
The research presented here shows the state of the art in this
rapidly growing field.
Computational Economics: A Perspective from Computational
Intelligence provides models of various economic and financial
issues while using computational intelligence as a foundation. The
scope of this volume comprises finance, economics, management,
organizational theory and public policies. It explains the ongoing
and novel research in this field, and displays the power of these
computational methods in coping with difficult problems with
methods from traditional perspectives. By encouraging the
discussion of different views, this book serves as an introductory
and inspiring volume that helps to flourish studies in
computational economics.
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