Control systems: An introduction (Prentice Hall international series in systems and control engineering)

Control Systems: An Introduction (Prentice Hall International Series in Systems and Control Engineering)

Science & Math

Warwick, Kevin

Technology

PRENTICE/HALL

'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: <ul>
<li>how intelligence can be defined </li> <li>whether machines can 'think' </li> <li>sensory input in machine systems</li> <li>the nature of consciousness </li> <li>the controversial culturing of human neurons.</li> </ul> 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.

Artificial Intelligence: The Basics: The Basics

Computers & Technology

Computer Science

Routledge

Artificial Intelligence: The Basics

Kevin Warwick has created robots with the brain power of a wasp. Soon, he will have built robots with the brain power of a cat, and in 10 years, they could be as intelligent as humans. This book shows how the "Terminator" could become reality, as robots will become far more intelligent and superior in their practical skills than humans. It raises the question of whether humans will be at the mercy of these life forms, and so treated in the same way as humans treat animals today. The author proposes that there is an urgent need for an anti-proliferation treaty to prevent these and other even more horrifying scenarios.

March of the Machines: Why the New Race of Robots Will Rule the World

Century

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.

Computer Intensive Methods in Control and Signal Processing: The Curse of Dimensionality

Karny, Miroslav

Birkhauser

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.

Turing's Imitation Game: Conversations with the Unknown

Shah, Huma

Cambridge University Press

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.

Strategies for Feedback Linearisation: A Dynamic Neural Network Approach (Advances in Industrial Control)

Garces, Freddy Rafael

Becerra, Victor Manuel

Kambhampati, Chandrasekhar

Reference

Springer

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.

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.

What On Earth?: Trees

Children's Books

Science, Nature & How It Works

words & pictures

Education & Reference

QED Publishing

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