Artificial Intelligence and Computational Intelligence

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ABCD
Artificial Intelligence
and Computational
Intelligence

A Selection of New and Forthcoming Titles
2007
Linear Genetic Programming
M. F. Brameier, University of Aarhus, Denmark; W.
Banzhaf, Memorial University of Newfoundland, St.
John’s, NF, Canada
Linear Genetic Programming presents a variant
of Genetic Programming that evolves imperative
computer programs as linear sequences of instruc-
tions, in contrast to the more traditional functional
expressions or syntax trees. Typical GP phenomena,
such as non-effective code, neutral variations, and
code growth are investigated from the perspective
of linear GP. This book serves as a reference for
researchers.
2007. XIII, 315 p. (Genetic and Evolutionary Computa-
tion) Hardcover
ISBN 978-0-387-31029-9
Data Mining
A Knowledge Discovery Approach
K. J. Cios, University of Colorado at Denver, CO, USA
This comprehensive, senior through graduate level
textbook on data mining details the unique steps of
the knowledge discovery process that prescribes the
sequence in which data mining projects should be
performed. The book offers an authoritative treat-
ment of all development phases from problem and
data understanding through data preprocessing to
deployment of the results. This knowledge discovery
approach is what distinguishes this book from other
texts in the area. The text concentrates on data
preparation, clustering and association rule learning
(required for processing unsupervised data), decision
trees, rule induction algorithms, neural networks, and
many other data mining methods, focusing predomi-
nantly on those which have proven successful in
data mining projects. Researchers, practitioners and
students are certain to consider Data Mining an
indispensable resource in successfully accomplishing
the goals of their data mining projects.
2007. Approx. 505 p. Hardcover
ISBN 978-0-387-33333-5
BOOK
SERIES
Visit springer.com for an extensive range of books and journals in the field
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Artificial Intelligence and Computational Intelligence
Stochastic Learning and Optimization
A Sensitivity-Based Approach
X. Cao, Hong Kong University of Sciences and Tech-
nology, Hong Kong, China
Performance optimization is vital in the design and
operation of modern engineering systems, including
communications, manufacturing, robotics, and
logistics. Most engineering systems are too compli-
cated to model, or the system parameters cannot be
easily identified, so learning techniques have to be
applied. This book provides a unified framework
based on a sensitivity point of view. It also intro-
duces new approaches and proposes new research
topics within this sensitivity-based framework. This
new perspective on a popular topic is presented by a
well respected expert in the field.
2007. Approx. 500 p. Hardcover
ISBN 978-0-387-36787-3
Real-world Applications of
Semantic Web Technology and
Ontologies
J. Cardoso, Universidade da Madeira, Funchal, Portugal;
M. Hepp, University of Innsbruck, Austria; M. Lytras,
University of Patras, Greece (Eds.)
2007. Approx. 350 p. (Semantic Web and Beyond, Volume
5) Hardcover
ISBN 978-0-387-48530-0 7 approx. $89.95
Ontology Management
Semantic Web, Semantic Web Services, and
Business Applications
M. Hepp, University of Innsbruck, Austria
2007. Approx. 350 p. (Semantic Web and Beyond, Volume
6) Hardcover
ISBN 978-0-387-69899-1
Ontology Learning and Population from Text
Algorithms, Evaluation and Applications
P. Cimiano, University of Karlsruhe, Germany
In the last decade, ontologies have received much
attention within computer science and related disci-
plines, most often as the semantic web. Ontology
Learning and Population from Text: Algorithms,
Evaluation and Applications discusses ontologies
for the semantic web, as well as knowledge manage-
ment, information retrieval, text clustering and clas-
sification, as well as natural language processing. It
is structured for research scientists and practitioners
in industry. This book is also suitable for graduate-
level students in computer science.
2006. XXVIIII, 347 p. Hardcover
ISBN 978-0-387-30632-2
Neural Networks Theory
A. I. Galushkin, Moscow Institute of Physics and Tech-
nology, Moscow, Russia
This book, written by a leader in neural network
theory in Russia, uses mathematical methods in
combination with complexity theory, nonlinear
dynamics and optimization. It details more than 40
years of Soviet and Russian neural network research
and presents a systematized methodology of
neural networks synthesis. The theory is expansive:
covering not just traditional topics such as network
architecture but also neural continua in function
spaces. A treasure trove that should be mined by the
thousands of researchers and practitioners world-
wide in neural networks who have not previously
had access to the fruits of Soviet and Russian neural
network research
2007. Approx. 400 p. Hardcover
ISBN 978-3-540-48124-9
Semantic Web and Beyond
BOOK
SERIES
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on this book series
please visit springer.com
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springer.comArtificial Intelligence and Computational Intelligence
Artificial General Intelligence
B. Goertzel, C. Pennachin, AGIRI - Artificial General Intel-
ligence Research Institute, Rockville, MD
This is the first book on current research on artificial
general intelligence (AGI), work explicitly focused
on engineering general intelligence – autonomous,
self-reflective, self-improving, commonsensical
intelligence.
2007. XV, 508 p. 42 illus. (Cognitive Technologies)
Hardcover
ISBN 978-3-540-23733-4
BOOK
SERIES
Cognitive Technologies
2
nd
EDITION
3
Genetic Algorithms
The Design of Innovation
D. Goldberg, K. Sastry, University of Illinois at Urbana-
Champaign, IL, USA
This book illustrates how to design and implement
scalable genetic algorithms that solve hard problems
quickly, reliably, and accurately. This revised edition
includes recent results and new groundbreaking
material. The book combines two decades of hard-
won research results in a single volume to provide a
step-by-step guide to designing genetic algorithms
that scale well with problem size and difficulty. A
major new chapter demonstrates practical scalability
of GAs on a problem with over a billion variables,
and shows how these results can be used to obtain
routine solutions to important problems. This book
is an essential reference.
2nd ed. 2007. Approx. 350 p. Hardcover
ISBN 978-0-387-35374-6
SAT 2005
Satisfiability Research in the Year 2005
E. Giunchiglia, Università di Genova, Italy; T. Walsh,
University of New South Wales, Sydney, NSW, Australia
(Eds.)
This book covers recent progress in solving
propositional satisfiability and related problems.
Propositional satisfiability is a powerful and general
formalism used to solve a wide range of important
problems including hardware and software verifica-
tion. Research into methods to automate such
reasoning has therefore a long history in artificial
intelligence. This book follows on from the highly
successful volume entitled SAT 2000.
2006. V, 293 p. Hardcover
ISBN 978-1-4020-4552-3
Neural Preprocessing and Control of
Reactive Walking Machines
Towards Versatile Artificial Perception-Action Systems
P. Manoonpong, University of Goettingen, Germany
2007. Approx. 200 p. (Cognitive Technologies) Hardcover
ISBN 978-3-540-68802-0
Modeling Decisions: Information Fusion and Aggregation Operators
V. Torra, IIIA-CSIC, Bellaterra, Spain; Y. Narukawa,
Tohogakuen, Tokyo, Japan
This book covers the underlying science and
application issues related to aggregation operators,
focusing on tools used in practical applications that
involve numerical information.
2007. XIV, 284 p. 55 Illus. (Cognitive Technologies)
Hardcover
ISBN 978-3-540-68789-4
springer.com
Artificial Intelligence and Computational Intelligence
2
nd
EDITION
4
Uncertainty, Rationality, and Agency
W. v. Hoek, The University of Liverpool, UK (Ed.)
This volume concerns Rational Agents - humans,
players in a game, software or institutions
- which must decide the proper next action
in an atmosphere of partial information and
uncertainty. The book collects formal accounts
of Uncertainty, Rationality and Agency, and also
of their interaction. It will benefit researchers in
artificial systems which must gather information,
reason about it and then make a rational deci-
sion on which action to take. Unifies logic, game
theory, and epistemics and studies them in an
agent-setting. Also combines classical and novel
approaches to uncertainty, rationality, and agency.
2006. X, 349 p. Softcover
ISBN 978-1-4020-4630-8
E. Hüllermeier, University of Magdeburg, Germany
Making use of different frameworks of approximate
reasoning and reasoning under uncertainty, notably
probabilistic and fuzzy set-based techniques, this
b
ook develops formal models of the above infe
r
en
ce
V. K. Jirsa, Florida Atlantic University, Boca Raton, FL,
USA; A. McIntosh, University of Toronto.
Handbook of Brain Connectivity provides an
account of the current knowledge on the measure-
ment, analysis and theory of the anatomical and
Evolving Connectionist Systems
The Knowledge Engineering Approach
N. Kasabov, Auckland University of Technology, Auck-
land, New Zealand
This second edition of the must-read work in the
field presents generic computational models and
techniques that can be used for the development
of evolving, adaptive modeling systems, as well as
new trends including computational neuro-genetic
modeling and quantum information processing
related to evolving systems. New applications, such
as autonomous robots, adaptive artificial life systems
and adaptive decision support systems are also
covered
2nd ed. 2007. Approx. 400 p. 185 illus. Softcover
ISBN 978-1-84628-345-1
Confabulation Theory
The Mechanism of Thought
R. Hecht-Nielsen, University of California San Diego, La
Jolla, CA, USA
Confabulation theory addresses the premier
scientific question: How does brain information
processing, or cognition, work? This book presents
a comprehensive look at confabulation theory,
covering its conceptual elements, how it can be
applied to real-world data, and how neurons imple-
ment the involved functional elements. This theory
will have profound impact on our understanding of
human;cognition and;on our research in areas such
as linguistics, vision, learning and behavior. Only a
knowledge of elementary mathematics is required.
Engineers, scientists, and the educated public will
find the book accessible. The attached DVD includes
a video lecture presenting the theory.
2007. Approx. 290 pp., in color throughout, with 2
DVDs Hardcover
ISBN 978-3-540-49603-8
principle, which is fundamental to CBR.
2007. XVI, 370 p. (Theory and Decision Library B, Volume
44) Hardcover
ISBN 978-1-4020-5694-9
functional connectivity of the brain.
2007. Approx. 392 p. 150 illus. (Understanding Complex
Systems) Hardcover
ISBN 978-3-540-71462-0
Case-Based Approximate Reasoning
Handbook of Brain Connectivity
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springer.comArtificial Intelligence and Computational Intelligence
BOOK
SERIES
5
Cells and Robots: Modeling and Control of Large-Size Agent
Populations
For more
information on this
book series visit
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For more
information on this
book series visit
springer.com
D. Milutinovic, Utrecht University, The Netherlands
Cells and Robots is an outcome of the multidisci-
plinary research extending over Biology, Robotics
and Hybrid Systems Theory. It is inspired by
modeling reactive behavior of the immune system
cell population, where each cell is considered as an
independent agent. In our modeling approach, there
is no difference if the cells are naturally or artifi-
cially created agents, such as robots. This appears
even more evident when we introduce a case study
concerning a large-size robotic population scenario.
Under this scenario, we also formulate the optimal
control of maximizing the probability of robotic
presence in a given region and discuss the applica-
tion of the Minimum Principle for partial differen-
tial equations to this problem.
2007. Approx. 130 p. Also available online. (Springer
Tracts in Advanced Robotics, Volume 32) Hardcover
ISBN 978-3-540-71981-6
Neural, Evolutionary, Fuzzy and More
T. Munakata, Cleveland State University, Cleveland, OH, USA
Artifical intelligence has grown rapidly as a field of
research and industrial application in recent years.
Whereas traditionally, AI used techniques drawn
from rule-based and logic programming systems,
V. Palade, Oxford University, UK
This book presents the most recent concerns and
research results in industrial fault diagnosis using
intelligent techniques. It focuses on computational
intelligence applications to fault diagnosis with
Leonardo´s Lost Robots
M. E. Rosheim, Ross-Hime Designs Inc., Minneapolis,
MN, USA
This book reinterprets Leonardo da Vinci’s mechan-
ical design work, revealing a new level of sophistica-
tion not recognized by art historians or engineers.
The book reinterprets Leonardo’s legacy of notes,
showing that apparently unconnected fragments
from dispersed manuscripts actually comprise cohe-
sive designs for functioning automata. Using the
rough sketches scattered throughout almost all of
Leonardo’s notebooks, the author has reconstructed
Leonardo’s programmable cart, which was the plat-
form for other automata. Through a readable, lively
narrative, the author explains how he reconstructed
da Vinci’s designs.
1st ed. 2006. Corr. 2nd printing. 2006. XIX, 188 p. 203
illus. Hardcover
ISBN 978-3-540-28440-6
Biometrics, Computer Security Systems and Artificial Intelligence
Applications
K. Saeed, Bialystok Technical University, Bialystock,
Poland
This book presents the most recent achievements
in some rapidly developing fields within Computer
Science. This includes the very latest research in
biometrics and computer security systems, and
descriptions of the latest inroads in artificial intel-
ligence applications. The book contains over 30
articles by well-known scientists and engineers. The
articles are extended versions of works introduced at
the ACS-CISIM 2005 conference.
2006. XI, 342 p. Hardcover
ISBN 978-0-387-36232-8
interest is now growing in less precise heuristic
methods, notably genetic algorithms, fuzzy logic,
and neural networks.
2nd ed. 2007. Approx. 250 p. (Texts in Computer Science)
Hardcover
ISBN 978-1-84628-838-8
Fundamentals of the New Artificial Intelligence
real-world applications used in different chapters to
validate the different diagnosis methods.
2006. XVIII, 362 p. 154 illus. (Advanced Information and
Knowledge Processing) Hardcover
ISBN 978-1-84628-343-7
Computational Intelligence in Fault Diagnosis
Honorable Mention by
AAP for PSP Award.
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Artificial Intelligence and Computational Intelligence
6
An Introduction to Knowledge Engineering
S. Kendal, M. Creen, University of Sunderland, UK
The authors use a refreshing and novel ‘workbook’
writing style which gives the book a very practical
and easy to use feel. It includes methodologies for
the development of hybrid information systems,
covers neural networks, case based reasoning
and genetic algorithms as well as expert systems.
Numerous pointers to web based resources and
current research are also included. The content of
the book has been successfully used by under-
graduates around the world. It is aimed at under-
graduates and a strong maths background is not
required.
2007. X, 287 p. 33 illus. Softcover
ISBN 978-1-84628-475-5
The Fuzzification of Systems
The Genesis of Fuzzy Set Theory and its Initial
Applications - Developments up to the 1970s
R. Seising, Medizinische Universität Wien, Austria
In this book, the history of Fuzzy Set Theory and
the ways it was first used are incorporated into the
history of 20th century science and technology.
Influences from philosophy, system theory and
cybernetics stemming from the earliest part of the
20th century are considered alongside those of
communication and control theory from mid-
century. Today, Fuzzy Set Theory is the core disci-
pline of “soft computing,” and provides new impetus
for research in the field of Artificial Intelligence.
2007. Approx. 420 p. 145 illus. Also available online. (Studies
in Fuzziness and Soft Computing, Volume 216) Hardcover
ISBN 978-3-540-71794-2
BOOK
SERIES
Rigid Flexibility
The Logic of Intelligence
P. Wang, Temple University, Philadelphia, PA, USA, USA
This book is the most comprehensive description of
the decades-long Non-Axiomatic Reasoning System
(NARS) project, including its philosophical founda-
tion, methodological consideration, conceptual
design details, implications in the related fields, and
its similarities and differences to many related works
in cognitive science. While most current works
in Artificial Intelligence (AI) focus on individual
aspects of intelligence and cognition, NARS is
designed and developed to attack the AI problem as
a whole.
2006. XVIII, 412 p (Applied Logic Series, Volume 34)
Hardcover
ISBN 978-1-4020-5044-2
An Agent-based Approach in Market
Engineering
C. v. Dinther, University of Karlsruhe, Germany
This is one of the first books on the use of software
agents to simulate bidding behavior in electronic
auctions. It introduces market theory and compu-
tational economics together, and gives an overview
on the most common and up-to-date agent-based
simulation methods. The book will help the reader
learn more about simulations in economics in
general and common agent-based methods and
tools in particular. The reader finds basic definitions
and learns how to build an appropriate model for
the posed research question
2007. XVIII, 238 p. 40 illus. (Whitestein Series in Soft-
ware Agent Technologies and Autonomic Computing)
Softcover
ISBN 978-3-7643-8094-6
Visit springer.com for more information on book series.
Adaptive Bidding in Single-Sided Auctions under Uncertainty
Studies in Computational Intelligence
Neural Networks: Computational Models
and Applications
H. Tang, University of Queensland, St. Lucia, QLD,
Australia
2007. XXII, 299 p.103 illus. Also available online. (Studies
in Computational Intelligence, Volume 53) Hardcover
ISBN 978-3-540-69225-6
Parameter Setting in Evolutionary
Algorithms
F. G. Lobo, C. F. Lima, Universidade do Algarve, Faro,
Portugal
2007. XII, 317 p. 100 illus. (Studies in Computational
Intelligence, Volume 54) Hardcover
ISBN 978-3-540-69431-1
Computational Mind: A Complex
Dynamics Perspective
V. G. Ivancevic, Land Operations Division Defence
Science & Technology Organisation
2007. Approx. 690 p. Also available online (Studies in
Computational Intelligence, Volume 60) Hardcover
ISBN 978-3-540-71465-1
S. Yang, University of Leicester, UK
This book compiles recent advances of evolutionary
algorithms in dynamic and uncertain environments
w
ithin a unified framework. The book is mot
i
v
ated by
the fact that some degree of uncertainty is inevitable
From Algorithms to Applications
M. Pelikan, The University of Missouri, St. Louis, MO, USA
This book focuses like a laser beam on one of the
hottest topics in evolutionary computation over
the last decade or so: estimation of distribution
algorithms (EDAs). EDAs are an important current
technique that is leading to breakthroughs in genetic
and evolutionary computation and in optimization
more generally
2006. XX, 349 p. 98 illus. (Studies in Computational Intel-
ligence, Volume 33) Hardcover
ISBN 978-3-540-34953-2
Scalable Optimization via Probabilistic Modeling
in characterizing any realistic eng
i
neering systems.
2007. XXIII, 605 p. 272 illus. Also available online.
(Studies in Computational Intelligence, Volume 51)
Hardcover
ISBN 978-3-540-49772-1
Evolutionary Computation in Dynamic and Uncertain Environments
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Artificial Intelligence and Computational Intelligence
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Artificial Intelligence and Computational Intelligence
Introduction to Fuzzy Logic using MATLAB
S. Sivanandam, S. Sumathi, S. N. Deepa, PSG College of
Technology, Coimbatore, India
This book provides a broad-ranging, but detailed
overview of the basics of Fuzzy Logic. The funda-
mentals of Fuzzy Logic are discussed in detail,
and illustrated with various solved examples. The
book also deals with applications of Fuzzy Logic,
to help readers more fully understand the concepts
involved. Solutions to the problems are programmed
using MATLAB 6.0, with simulated results. The
MATLAB Fuzzy Logic toolbox is provided for easy
reference.
2007. XIV, 430 p. 304 illus. Hardcover
ISBN 978-3-540-35780-3
Estimation of Dependences Based on Empirical Data
Empirical Inference Science
V. Vapnik, NEC-Laboratories America, Princeton, New
Jersey, USA
Translated by: S. Kotz
This book contains a reprint of the first edition
which provides the classical foundation of Statistical
Learning Theory. However, this edition contains
four new chapters describing the latest ideas in the
development of statistical inference methods. The
book now covers a wide spectrum of ideas related
to the essence of intelligence: from the rigorous
statistical foundation of learning models to broad
philosophical imperatives for generalization.
1st ed. 1982. Reprint 2006. XVIII, 505 p. 22 illus. (Informa-
tion Science and Statistics) Hardcover
ISBN 978-0-387-30865-4
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