| Artificial intelligence (AI) is technology and a branch of computer science that studies and develops intelligent machines and software. It lets an intelligent agent i.e. a system that perceives its environment and takes actions accordingly. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines". From your iPhone's Siri to all the smart robots and humanoids today are powered by artificial intelligence. So if you are a student or planning to jump into this highly technical and specialised field, we bring for you 25 free books on artificial intelligence. Read online, download and have fun! |  |
The aim of this book is to introduce people with little or no computing background to artificial intelligence (AI) and cognitive science. It emphasizes the psychological, social, and philosophical implications of artificial intelligence.
Design is conceiving and giving form to artifacts that solve problems. This book shows how you can use artifact in a broad sense to describe any product of intentional creation, including physical goods, services, software, graphics, buildings, landscapes, and processes.
With the increase in development of technology, there is research of human-like artificial intelligence that can be self-aware and act just like humans. This book explores how we may be close to developing a true artificially intelligent being.
Virtual reality has impact on information organization and management and even changes design principle of information systems, which will make it adapt to application requirements. The book aims to provide a broader perspective of virtual reality.
Visionary computer scientist Raymond Kurzweil probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence.
A book about the science of artificial intelligence, it presents AI as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers.
The book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed.
Fault diagnosis technology is a synthetic technology, which relates to several subjects: modern control theory, reliability theory, mathematical statistics, fussy set theory, information handling, pattern recognition and artificial intelligence.
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
In this book, we analyse a selection of open problems which we consider the key ones in order to let ambient intelligence become a reality. This book provides the reader with a good idea about the current research lines in ambient intelligence.
Contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; etc.
The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process. This book presents an overview of the research issues in the field of multi agents.
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment.
This book adopts a behaviour-based approach to the design of agent-oriented systems. The topics covered from a behaviour-based perspective include agent communication, searching, knowledge and reasoning, and intelligence.
Artificial intelligence is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the eighteenth-century pioneers to the work of today-s AI engineers.
This book will take its readers on a stunning voyage of computational intelligence heuristics research and applications. Computational intelligence techniques are covered, ranging from neural networks, fuzzy logic, genetic algorithms, etc.
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence.
This book was the first attempt to define the field of constraint satisfaction. It covers both the theoretical and the implementation aspects of the subject. It provides a framework for studying this field and relates different research.
Motivated by the capability of the biologically inspired algorithms, the book aims to present recent developments in optimization with swarm intelligence techniques. The book also presents some selected representative case studies.
Encyclopedia of Computational Intelligence covers neural networks, evolutionary computation, robotics, machine learning and pattern recognition, graphs and complexity, artificial intelligence, information theory, fuzzy systems, signal analysis, etc.
To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new insights. What have these two fields in common? Have they affected the way we define humanity?
An overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections.
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. The text is designed for graduate students and researchers who are active in the applications of AI and Control Systems in modeling.
A current sampling of AI approaches to problems of biological significance. The text covers genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems.
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
