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21 matches in All Departments
'if AI is outside your field, or you know something of the subject
and would like to know more then Artificial Intelligence: The
Basics is a brilliant primer.' - Nick Smith, Engineering and
Technology Magazine November 2011 Artificial Intelligence: The
Basics is a concise and cutting-edge introduction to the fast
moving world of AI. The author Kevin Warwick, a pioneer in the
field, examines issues of what it means to be man or machine and
looks at advances in robotics which have blurred the boundaries.
Topics covered include: how intelligence can be defined whether
machines can 'think' sensory input in machine systems the nature of
consciousness the controversial culturing of human neurons.
Exploring issues at the heart of the subject, this book is suitable
for anyone interested in AI, and provides an illuminating and
accessible introduction to this fascinating subject.
This significantly revised edition presents a broad introduction to
Control Systems and balances new, modern methods with the more
classical. It is an excellent text for use as a first course in
Control Systems by undergraduate students in all branches of
engineering and applied mathematics. The book contains: A
comprehensive coverage of automatic control, integrating digital
and computer control techniques and their implementations, the
practical issues and problems in Control System design; the
three-term PID controller, the most widely used controller in
industry today; numerous in-chapter worked examples and
end-of-chapter exercises. This second edition also includes an
introductory guide to some more recent developments, namely fuzzy
logic control and neural networks.
This significantly revised edition presents a broad introduction to
Control Systems and balances new, modern methods with the more
classical. It is an excellent text for use as a first course in
Control Systems by undergraduate students in all branches of
engineering and applied mathematics. The book contains: A
comprehensive coverage of automatic control, integrating digital
and computer control techniques and their implementations, the
practical issues and problems in Control System design; the
three-term PID controller, the most widely used controller in
industry today; numerous in-chapter worked examples and
end-of-chapter exercises. This second edition also includes an
introductory guide to some more recent developments, namely fuzzy
logic control and neural networks.
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Computational Intelligence - 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers (Paperback, 1st ed. 2021)
Juan Julian Merelo, Jonathan Garibaldi, Alejandro Linares Barranco, Kevin Warwick, Kurosh Madani
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R2,997
Discovery Miles 29 970
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Ships in 10 - 15 working days
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This present book includes a set of selected revised and extended
versions of the best papers presented at the 11th International
Joint Conference on Computational Intelligence (IJCCI 2019) - held
in Vienna, Austria, from 17 to 19 September 2019. The authors focus
on three outstanding fields of Computational Intelligence through
the selected panel, namely Evolutionary Computation, Fuzzy
Computation and Neural Computation. Besides presenting the recent
advances of the selected areas, the book aims to aggregate new and
innovative solutions for confirmed researchers and, on the other
hand, to provide a source of information and/or inspiration for
young interested researchers or learners in the ever-expanding and
current filed of Computational Intelligence. It constitutes a
precious provision of knowledge for individual researchers as well
as represents a valuable sustenance for collective use in academic
libraries (of universities and engineering schools) relating
innovative techniques in various fields of applications.
|
Computational Intelligence - International Joint Conference, IJCCI 2018 Seville, Spain, September 18-20, 2018 Revised Selected Papers (Paperback, 1st ed. 2021)
Christophe Sabourin, Juan Julian Merelo, Alejandro Linares Barranco, Kurosh Madani, Kevin Warwick
|
R2,916
Discovery Miles 29 160
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Ships in 10 - 15 working days
|
This present book includes a set of selected revised and extended
versions of the best papers presented at the 10th International
Joint Conference on Computational Intelligence (IJCCI 2018), held
in Seville, Spain, from 18 to 20 September 2018, which covers four
thriving fields in Computational Intelligence: Evolutionary
Computation, Fuzzy Computation, Neural Computation, and Cognitive
and Hybrid Systems. Besides presenting the recent advances in these
areas, the book aims, on the one hand, to aggregate new and
innovative solutions for confirmed researchers and, on the other
hand, to provide a source of information and/or inspiration for
young researchers or learners interested in the ever-increasing and
current field of Computational Intelligence. This book constitutes
a precious provision of knowledge for individual researchers as
well as representing a valuable sustenance for collective use in
academic libraries (of universities and engineering schools)
relating innovative techniques in various fields of applications.
'if AI is outside your field, or you know something of the subject
and would like to know more then Artificial Intelligence: The
Basics is a brilliant primer.' - Nick Smith, Engineering and
Technology Magazine November 2011 Artificial Intelligence: The
Basics is a concise and cutting-edge introduction to the fast
moving world of AI. The author Kevin Warwick, a pioneer in the
field, examines issues of what it means to be man or machine and
looks at advances in robotics which have blurred the boundaries.
Topics covered include: how intelligence can be defined whether
machines can 'think' sensory input in machine systems the nature of
consciousness the controversial culturing of human neurons.
Exploring issues at the heart of the subject, this book is suitable
for anyone interested in AI, and provides an illuminating and
accessible introduction to this fascinating subject.
|
Computational Intelligence - 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers (Hardcover, 1st ed. 2021)
Juan Julian Merelo, Jonathan Garibaldi, Alejandro Linares Barranco, Kevin Warwick, Kurosh Madani
|
R3,029
Discovery Miles 30 290
|
Ships in 10 - 15 working days
|
This present book includes a set of selected revised and extended
versions of the best papers presented at the 11th International
Joint Conference on Computational Intelligence (IJCCI 2019) - held
in Vienna, Austria, from 17 to 19 September 2019. The authors focus
on three outstanding fields of Computational Intelligence through
the selected panel, namely Evolutionary Computation, Fuzzy
Computation and Neural Computation. Besides presenting the recent
advances of the selected areas, the book aims to aggregate new and
innovative solutions for confirmed researchers and, on the other
hand, to provide a source of information and/or inspiration for
young interested researchers or learners in the ever-expanding and
current filed of Computational Intelligence. It constitutes a
precious provision of knowledge for individual researchers as well
as represents a valuable sustenance for collective use in academic
libraries (of universities and engineering schools) relating
innovative techniques in various fields of applications.
|
Computational Intelligence - International Joint Conference, IJCCI 2018 Seville, Spain, September 18-20, 2018 Revised Selected Papers (Hardcover, 1st ed. 2021)
Christophe Sabourin, Juan Julian Merelo, Alejandro Linares Barranco, Kurosh Madani, Kevin Warwick
|
R2,957
Discovery Miles 29 570
|
Ships in 10 - 15 working days
|
This present book includes a set of selected revised and extended
versions of the best papers presented at the 10th International
Joint Conference on Computational Intelligence (IJCCI 2018), held
in Seville, Spain, from 18 to 20 September 2018, which covers four
thriving fields in Computational Intelligence: Evolutionary
Computation, Fuzzy Computation, Neural Computation, and Cognitive
and Hybrid Systems. Besides presenting the recent advances in these
areas, the book aims, on the one hand, to aggregate new and
innovative solutions for confirmed researchers and, on the other
hand, to provide a source of information and/or inspiration for
young researchers or learners interested in the ever-increasing and
current field of Computational Intelligence. This book constitutes
a precious provision of knowledge for individual researchers as
well as representing a valuable sustenance for collective use in
academic libraries (of universities and engineering schools)
relating innovative techniques in various fields of applications.
This book presents revised and extended versions of the best papers
presented at the 9th International Joint Conference on
Computational Intelligence (IJCCI 2017), held in Funchal, Madeira,
from 1 to 3 November 2017. It focuses on four of the main fields of
computational intelligence: evolutionary computation, fuzzy
computation, neural computation, and cognitive and hybrid systems.
As well as presenting the recent advances of these areas, it
provides new and innovative solutions for established researchers
and a source of information and/or inspiration those new to the
field. Discussing innovative techniques in various application
areas, it is a useful resource for individual researchers and a
valuable addition to academic libraries (of universities and
engineering schools).
Due to the rapid increase in readily available computing power, a
corre sponding increase in the complexity of problems being tackled
has occurred in the field of systems as a whole. A plethora of new
methods which can be used on the problems has also arisen with a
constant desire to deal with more and more difficult applications.
Unfortunately by increasing the ac curacy in models employed along
with the use of appropriate algorithms with related features, the
resultant necessary computations can often be of very high
dimension. This brings with it a whole new breed of problem which
has come to be known as "The Curse of Dimensionality" . The
expression "Curse of Dimensionality" can be in fact traced back to
Richard Bellman in the 1960's. However, it is only in the last few
years that it has taken on a widespread practical significance
although the term di mensionality does not have a unique precise
meaning and is being used in a slightly different way in the
context of algorithmic and stochastic complex ity theory or in
every day engineering. In principle the dimensionality of a problem
depends on three factors: on the engineering system (subject), on
the concrete task to be solved and on the available resources. A
system is of high dimension if it contains a lot of
elements/variables and/or the rela tionship/connection between the
elements/variables is complicated."
Using relevant mathematical proofs and case studies illustrating
design and application issues, this book demonstrates this powerful
technique in the light of research on neural networks, which allow
the identification of nonlinear models without the complicated and
costly development of models based on physical laws.
The series Advances in Industrial Control aims to report and
encourage technology transfer in control engineering. The rapid
development of control technology impacts all areas of the control
discipline. New theory, new controllers, actuators, sensors, new
industrial processes, computer methods, new applications, new
philosophies, .... , new challenges. Much of this development work
resides in industrial reports, feasibility study papers and the
reports of advanced collaborative projects. The series offers an
opportunity for researchers to present an extended exposition of
such new work in all aspects of industrial control for wider and
rapid dissemination. Within the control community there has been
much discussion of and interest in the new Emerging Technologies
and Methods. Neural networks along with Fuzzy Logic and Expert
Systems is an emerging methodology which has the potential to
contribute to the development of intelligent control technologies.
This volume of some thirteen chapters edited by Kenneth Hunt,
George Irwin and Kevin Warwick makes a useful contribution to the
literature of neural network methods and applications. The chapters
are arranged systematically progressing from theoretical
foundations, through the training aspects of neural nets and
concluding with four chapters of applications. The applications
include problems as diverse as oven tempera ture control, and
energy/load forecasting routines. We hope this interesting but
balanced mix of material appeals to a wide range of readers from
the theoretician to the industrial applications engineer.
The last few decades have witnessed tremendous developments in nonlinear control theory. One of the most important of these is the model-based method of feedback linearisation in which a nonlinear system is transformed into a linear system by means of state feedback and nonlinear transformations. After feedback linearisation, a system can be dealt with by linear controller design. The extension of these techniques to include MIMO systems allows for the further simplification of controller design by decoupling the system. Strategies for Feedback Linearisation demonstrates this powerful technique in the light of research on neural networks which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws. Dynamic or recurrent neural networks have inherent properties that allow them to approximate nonlinear dynamic systems. Strategies for the identification of nonlinear systems using such neural networks are presented in this monograph together with the use of such models for the design and application of input-output linearisation and decoupling methods. Strategies for Feedback Linearisation is written to serve academic and industrial researchers in non-linear control and system identification and practising control engineers interested in their application to real-world industrial systems. The reader will gain a balanced view of theoretical and practical issues: relevant mathematical proofs are provided as are case studies illustrating design and application issues.
In almost all areas of science and engineering, the use of
computers and microcomputers has, in recent years, transformed
entire subject areas. What was not even considered possible a
decade or two ago is now not only possible but is also part of
everyday practice. As a result, a new approach usually needs to be
taken (in order) to get the best out of a situation. What is
required is now a computer's eye view of the world. However, all is
not rosy in this new world. Humans tend to think in two or three
dimensions at most, whereas computers can, without complaint, work
in n dimensions, where n, in practice, gets bigger and bigger each
year. As a result of this, more complex problem solutions are being
attempted, whether or not the problems themselves are inherently
complex. If information is available, it might as well be used, but
what can be done with it? Straightforward, traditional
computational solutions to this new problem of complexity can, and
usually do, produce very unsatisfactory, unreliable and even
unworkable results. Recently however, artificial neural networks,
which have been found to be very versatile and powerful when
dealing with difficulties such as nonlinearities, multivariate
systems and high data content, have shown their strengths in
general in dealing with complex problems. This volume brings
together a collection of top researchers from around the world, in
the field of artificial neural networks."
Due to the rapid increase in readily available computing power, a
corre sponding increase in the complexity of problems being tackled
has occurred in the field of systems as a whole. A plethora of new
methods which can be used on the problems has also arisen with a
constant desire to deal with more and more difficult applications.
Unfortunately by increasing the ac curacy in models employed along
with the use of appropriate algorithms with related features, the
resultant necessary computations can often be of very high
dimension. This brings with it a whole new breed of problem which
has come to be known as "The Curse of Dimensionality" . The
expression "Curse of Dimensionality" can be in fact traced back to
Richard Bellman in the 1960's. However, it is only in the last few
years that it has taken on a widespread practical significance
although the term di mensionality does not have a unique precise
meaning and is being used in a slightly different way in the
context of algorithmic and stochastic complex ity theory or in
every day engineering. In principle the dimensionality of a problem
depends on three factors: on the engineering system (subject), on
the concrete task to be solved and on the available resources. A
system is of high dimension if it contains a lot of
elements/variables and/or the rela tionship/connection between the
elements/variables is complicated."
This volume is based on a seminar concerned with advanced methods
in adaptive control for industrial applications which was held in
Prague in May 1990 and which brought together experts in the UK and
Czechoslovakia in order to suggest solutions to specific current
and anticipated problems faced by industry. A number of
contributions were also aimed at reflecting possible trends in the
more distant future, by looking in depth at more specific issues.
While the papers included in the volume are of a research or
application nature, two or three can also be utilized in a tutorial
mode. The aspects of adaptive control considered are viewed from
the point of view of real time implementation and system
resilience. The book is intended for the use of academics in the
above fields and to industrialists.
This book presents revised and extended versions of the best papers
presented at the 9th International Joint Conference on
Computational Intelligence (IJCCI 2017), held in Funchal, Madeira,
from 1 to 3 November 2017. It focuses on four of the main fields of
computational intelligence: evolutionary computation, fuzzy
computation, neural computation, and cognitive and hybrid systems.
As well as presenting the recent advances of these areas, it
provides new and innovative solutions for established researchers
and a source of information and/or inspiration those new to the
field. Discussing innovative techniques in various application
areas, it is a useful resource for individual researchers and a
valuable addition to academic libraries (of universities and
engineering schools).
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What On Earth?: Trees (Paperback)
Kevin Warwick; Illustrated by Paulina Morgan
1
bundle available
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R312
R265
Discovery Miles 2 650
Save R47 (15%)
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Ships in 12 - 17 working days
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Trees are an important part of our planet. But what on earth are
they all about? Trees are not only one of the oldest living species
on earth but they are also one of the most important. Essential for
life and providing us with food, oxygen and shelter, without trees
our planet would be a very different place. Discover all you need
to know about these incredible plants and their place in our world
in this fascinating book filled with fun experiments,
investigations and hands-on tasks. Find out how trees are made and
how they grow so tall. Then create a tree hotel and see what
wildlife comes to stay! This brilliant information book features a
mixture of explore, investigate and create pages which encourage
children to learn about the natural world in an engaging, hands-on
way.
Practitioners and scholars explore ethical, social, and conceptual
issues arising in relation to such devices as fitness monitors,
neural implants, and a toe-controlled computer mouse. Body-centered
computing now goes beyond the "wearable" to encompass implants,
bionic technology, and ingestible sensors-technologies that point
to hybrid bodies and blurred boundaries between human, computer,
and artificial intelligence platforms. Such technologies promise to
reconfigure the relationship between bodies and their environment,
enabling new kinds of physiological interfacing, embodiment, and
productivity. Using the term embodied computing to describe these
devices, this book offers essays by practitioners and scholars from
a variety of disciplines that explore the accompanying ethical,
social, and conceptual issues. The contributors examine
technologies that range from fitness monitors to neural implants to
a toe-controlled mouse. They discuss topics that include the policy
implications of ingestibles; the invasive potential of body area
networks, which transmit data from bodily devices to the internet;
cyborg experiments, linking a human brain directly to a computer;
the evolution of the ankle monitor and other intrusive electronic
monitoring devices; fashiontech, which offers users an aura of
"cool" in exchange for their data; and the "final frontier" of
technosupremacism: technologies that seek to read our minds. Taken
together, the essays show the importance of considering embodied
technologies in their social and political contexts rather than in
isolated subjectivity or in purely quantitative terms. Contributors
Roba Abbas, Andrew Iliadis, Gary Genosko, Suneel Jethani, Deborah
Lupton, Katina Michael, M. G. Michael, Marcel O'Gorman, Maggie
Orth, Isabel Pedersen, Christine Perakslis, Kevin Warwick,
Elizabeth Wissinger
Can you tell the difference between talking to a human and talking
to a machine? Or, is it possible to create a machine which is able
to converse like a human? In fact, what is it that even makes us
human? Turing's Imitation Game, commonly known as the Turing Test,
is fundamental to the science of artificial intelligence. Involving
an interrogator conversing with hidden identities, both human and
machine, the test strikes at the heart of any questions about the
capacity of machines to behave as humans. While this subject area
has shifted dramatically in the last few years, this book offers an
up-to-date assessment of Turing's Imitation Game, its history,
context and implications, all illustrated with practical Turing
tests. The contemporary relevance of this topic and the strong
emphasis on example transcripts makes this book an ideal companion
for undergraduate courses in artificial intelligence, engineering
or computer science.
Research in artificial intelligence has developed many techniques
and methodologies that can be either adapted or used directly to
solve complex power system problems. A variety of such problems are
covered in this book including reactive power control, alarm
analysis, fault diagnosis, protection systems and load forecasting.
Methods such as knowledge-based (expert) systems, fuzzy logic,
neural networks and genetic algorithms are all first introduced and
then investigated in terms of their applicability in the power
systems field. The book, therefore, serves as both an introduction
to the use of artificial intelligence techniques for those from a
power systems background and as an overview of the power systems
implementation area for those from an artificial intelligence
computing or control background. It is structured so that it is
suitable for various levels of reader, covering basic principles as
well as applications and case studies. The most popular methods and
the most fruitful application fields are considered in more detail.
The book contains contributions from top international authors and
will be an extremely useful text for all those with an interest in
the field.
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R172
R154
Discovery Miles 1 540
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