Artificial intelligence

Hailed by the Washington Post as "e;a sure-footed and witty guide to slippery ethical terrain,"e; a philosophical exploration of AI and the future of the mind that Astronomer Royal Martin Rees calls "e;profound and entertaining"e;Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy!

What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain?

Este libro es la guía esencial para que los lectores aprendan la creación efectiva de prompts y la implementación estratégica de plugins para optimizar la interacción con ChatGPT.

Lidere la transición hacia un futuro energético limpio, sostenible y ético, con el apoyo de la inteligencia artificialEn la era digital, con la creciente demanda de energía, es esencial replantear los mercados energéticos hacia la descarbonización y la sostenibilidad.

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine.

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition.

Coverage is accessible to practitioners and academic readers alike.

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition

Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol This book collects many of the techniques used in speech coding and presents them in an accessible fashion Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present The theory behind the applications is thoroughly analyzed and proved

State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks.

Automata and natural language theory are topics lying at the heart of computer science.

Provides comprehensive treatment of the theory of both static and dynamic neural networks.

"e;This is the best book on patterns since the Gang of Four's Design Patterns.

With the advent of the internet as a medium for performing business transactions, the need for a secure communication channel has never been more paramount.

Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras.

Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals.

Knowledge management has become an important topic for the theory and practice of organisation management.

Minds and Machines: Connectionism and Psychological Modeling examines different kinds of models and investigates some of the basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure of connectionist networks can be interpreted.

This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition.

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance.

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker.

Moments as projections of an image s intensity onto a proper polynomial basis can be applied to many different aspects of image processing.

It is almost universally agreed that consciousness and possession of a conscience are essential characteristics of human intelligence.

Explains for the first time how "e;computing with words"e; can aid in making subjective judgments Lotfi Zadeh, the father of fuzzy logic, coined the phrase "e;computing with words"e; (CWW) to describe a methodology in which the objects of computation are words and propositions drawn from a natural language.

* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology.

From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems.

Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits.

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments.

"e;Intriguing .

Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself.

The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets.

This is the first book to take a truly comprehensive look at clustering.

"e;Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem.

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing.

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models.

An interdisciplinary framework for learning methodologies covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data.

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media.

A comprehensive look at General automata and how it can be used to establish the fundamentals for communication in human-computer systems Drawing on author Eldo C.

Jason is an Open Source interpreter for an extended version of AgentSpeak a logic-based agent-oriented programming language written in Java .

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes.

Virtual Humans are becoming more and more popular and used in many applications such as the entertainment industry (in both film and games) and medical applications.

Bioinformatics is contributing to some of the most important advances in medicine and biology.

Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects.

Robotics Sourcebook provides concise, up-to-date definitions of the terms, acronyms, and abbreviations currently used in robotics.

The possibility of direct interfacing between biological and technological information devices could result in a merger of mind and machine - Ultimate Computing.

Much research in Artificial Intelligence deals with a single agent having complete control over the world.

Most of the well-known mathematical software systems are batch oriented, though in the past few years there have been attempts to incorporate ``knowledge' or ``expertise' into these systems.