Artificial intelligence

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.

This volume contains papers in the areas of artificial intelligence, expert systems, symbolic computing and applications to scientific computing.

An evaluation of the merits, potential, and limits of Connectionism, this book also illustrates current research programs and recent trends.

In recent years AI has been experiencing a deep internal debate on the appropriateness of the symbolic-based paradigm and all of its consequences.

The purpose of this proceedings is to stimulate exchange and discussion of research in the field of multi-agent systems.

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations.

Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance.

Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance.

'The blizzard of excitement, misinformation and pure hype around AI has driven many of us to want an honest guide.

Our homes anticipate when we want to wake up.

This book explores a great number of concepts, methods, technologies, and tools-in one word resources-that apply to various domains of typesetting.

AI in Marketing equips students with the knowledge to understand the impact of Artificial Intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently.

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP).

'[The Corporation Wars] is a tasty broth of ideas taking in virtual reality, artificial intelligence, the philosophy of law and disquisitions on military ethics.

'Prose sleek and fast as the technology it describes .

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies.

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing.

Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning.

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems.

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP).

Tactile Sensing, Skill Learning and Robotic Dexterous Manipulation focuses on cross-disciplinary lines of research and groundbreaking research ideas in three research lines: tactile sensing, skill learning and dexterous control.

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI).

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture.

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations.