Here we bring to you an awesome collection of 24 brilliant Artificial Intelligence Ebooks for engineers and aspirants!
1. Computers and Thought: A Practical Introduction to Artificial Intelligence
Author/s: Mike Sharples, et al.
Publisher: A Bradford Book, 1989
The purpose of this text is to help readers with small or no background in computing to cognitive science and artificial intelligence (AI). It focuses on the psychological, philosophical, and social effects of artificial intelligence.
2. The World and Mind of Computation and Complexity
Author/s: Gregg Schaffter
Publisher: Smashwords, 2013
With the increasing developments in technology, the research of creating human-like intelligence in artificial form which can be self-aware and can act like humans. This textbook explores how close we are to creating a true artificially intelligent being.
3. Virtual Reality: Human Computer Interaction
Author/s: Xin-Xing Tang (ed.)
Publisher: InTech, 2012
Virtual reality has a major effect 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.
4. The Age of Intelligent Machines
Author/s: Ray Kurzweil
Publisher: The MIT Press, 1992
The author of the book Raymond Kurzweil, a visionary computer scientist discusses the past, present, and future scenarios and scope of artificial intelligence starting right from its initial philosophical and mathematical roots to tempting glimpses of 21st-century machines with superior intelligence.
5. Artificial Intelligence: Foundations of Computational Agents
Author/s: David Poole, Alan Mackworth
Publisher: Cambridge University Press, 2010
The book talks about the science of artificial intelligence, it brings out AI as the study of designing intelligent computational agents. Structured as a textbook, this book serves to a wide variety of readers including professionals and researchers.
Author/s: Wei Zhang
Publisher: InTech, 2010
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.
7. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Author/s: Yoav Shoham, Kevin Leyton-Brown
Publisher: Cambridge University Press, 2008
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.
Author/s: Felix Jesus Villanueva Molina
Publisher: InTech, 2010
In this book we analyze 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.
Author/s: George K Matsopoulos
Publisher: InTech, 2010
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.
Author/s: Vedran Kordic
Publisher: InTech, 2010
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.
11. Artificial Intelligence – Agents and Environments
Author/s: William John Teahan
Publisher: BookBoon, 2010
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.
12. Artificial Intelligence – Agent Behaviour
Author/s: William John Teahan
Publisher: BookBoon, 2010
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.
13. The Quest for Artificial Intelligence
Author/s: Nils J. Nilsson
Publisher: Cambridge University Press, 2009
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.
14. Computational Intelligence and Modern Heuristics
Author/s: Al-Dahoud Ali
Publisher: InTech, 2010
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.
15. Artificial Intelligence through Prolog
Author/s: Neil C. Rowe
Publisher: Prentice-Hall, 1988
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.
16. Foundations of Constraint Satisfaction
Author/s: Edward Tsang
Publisher: Academic Press, 1993
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.
17. Swarm Intelligence: Focus on Ant and Particle Swarm Optimization
Author/s: Felix T.S. Chan, Manoj K. Tiwari
Publisher: InTech, 2007
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.
18. Encyclopedia of Computational Intelligence
Author/s: Eugene M. Izhikevich, at al.
Publisher: Scholarpedia, 2009
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.
19. The Boundaries of Humanity: Humans, Animals, Machines
Author/s: J. Sheehan, M. Sosna
Publisher: University of California Press, 1991
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?
Author/s: Jimmy Or
Publisher: IN-TECH, 2008
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.
21. Artificial Intelligence and Responsive Optimization
Author/s: M. Khoshnevisan, S. Bhattacharya, F. Smarandache
Publisher: Xiquan, 2003
The purpose of this book is to apply 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.
22. Artificial Intelligence and Molecular Biology
Author/s: Lawrence Hunter
Publisher: AAAI Press, 1993
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 the simulation of biological systems.
23. Brief Introduction to Educational Implications of Artificial Intelligence
Author/s: David Moursund
Publisher: University of Oregon, 2006
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.
24. Artificial Intelligence By Dr. Prashanta Kumar Patra
Author(s): Dr. Prashanta Kumar Patra
This book covers the following topics: AI Technique, Level of the Model, Problem Spaces, and Search: Defining the Problem as a State Space Search, Production Systems, Problem Characteristics, Production System Characteristics, and Issues in the Design of Search Programs. Heuristic Search Techniques: Generate-andTest, Hill Climbing, Best-first Search, Problem Reduction, Constraint Satisfaction, Means-ends, Symbolic Reasoning Under Uncertainty, Game Playing.
