Heuristic Search
Theory and Applications
Stefan Edelkamp
Stefan Schrodl
ISBN: 9780123725127
Copyright 2011
Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed... [more]
Computational Intelligence
Concepts to Implementations
Russell Eberhart
Yuhui Shi
ISBN: 9781558607590
Copyright 2007
The “soft” analytic tools that comprise the field of computational intelligence have matured to the extent that they can, often in powerful combination with one another, form the foundation for a variety of solutions suitable for use by domain experts without extensive programming experience.
Computational Intelligence provides the conceptual and practical knowledge necessary to develop solutions of this kind. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective... [more]
Commonsense Reasoning
Erik T. Mueller
ISBN: 9780123693884
Copyright 2006
To endow computers with common
sense is one of the major long-term goals of Artificial Intelligence
research. One approach to this problem is to formalize commonsense
reasoning using mathematical logic. Commonsense Reasoning is a
detailed, high-level reference on logic-based commonsense reasoning.
It uses the event calculus, a highly powerful and usable tool for
commonsense reasoning, which Erik T. Mueller demonstrates as the
most effective tool for the broadest range of applications. He
provides an up-to-date work promoting the use of the event calculus
for commonsense reasoning, and bringing into one place information
scattered across many books and papers. Mueller shares the knowledge
gained in using the event calculus and extends the literature with
detailed event calculus solutions to problems that span many areas
of the commonsense world... [more]
Machine Vision, 3rd Edition
Theory, Algorithms, Practicalities
E.
R. Davies
ISBN: 9780122060939
Copyright 2005
In the last 40 years, machine
vision has evolved into a mature field embracing a wide range of
applications including surveillance, automated inspection, robot
assembly, vehicle guidance, traffic monitoring and control, signature
verification, biometric measurement, and analysis of remotely sensed
images. While researchers and industry specialists continue to
document their work in this area, it has become increasingly difficult
for professionals and graduate students to understand the essential
theory and practicalities well enough to design their own algorithms
and systems. This book directly addresses this need... [more]
Stochastic
Local Search
Foundations & Applications
Holger H. Hoos
Thomas Stützle
ISBN: 9781558608726
Copyright 2005
Hoos and Stützle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool.... [more]
Knowledge Representation and Reasoning
Ronald Brachman
Hector Levesque
ISBN: 9781558609327
Copyright 2004
This landmark text takes the central concepts of knowledge representation developed over the last 50 years and illustrates them in a lucid and compelling way. Each of the various styles of representation is presented in a simple and intuitive form, and the basics of reasoning with that representation are explained in detail. This approach gives readers a solid foundation for understanding the more advanced work found in the research literature. The presentation is clear enough to be accessible to a broad audience, including researchers and practitioners in database management, information retrieval, and object-oriented systems as well as artificial intelligence. This book provides the foundation in knowledge representation and reasoning that every AI practitioner needs... [more]
Automated
Planning
Theory & Practice
Malik Ghallab
Dana Nau
Paolo Traverso
ISBN: 9781558608566
Copyright 2004
Automated Planning offers a comprehensive resource on both the theory and practice of automated planning. The book goes well beyond classical planning, to include temporal planning, resource scheduling, planning under uncertainty, and modern techniques for plan generation, such as task decomposition, propositional satisfiability, constraint satisfaction, and model checking... [more]
Constraint Processing
Rina Dechter
ISBN: 9781558608900
Copyright 2003
Constraint satisfaction is
a simple but powerful tool. Constraints identify the impossible
and reduce the realm of possibilities to effectively focus on the
possible, allowing for a natural declarative formulation of what
must be satisfied, without expressing how. The field of constraint
reasoning has matured over the last three decades with contributions
from a diverse community of researchers in artificial intelligence,
databases and programming languages, operations research, management
science, and applied mathematics. Today, constraint problems are
used to model cognitive tasks in vision, language comprehension,
default reasoning, diagnosis, scheduling, temporal and spatial
reasoning... [more]
Swarm Intelligence
Russell Eberhart
Yuhui Shi
James Kennedy
ISBN: 978155860-595-4
Copyright 2001
Traditional methods for creating intelligent
computational systems have
privileged private "internal" cognitive and computational
processes. In
contrast, Swarm Intelligence argues that human
intelligence derives from the interactions of individuals in a
social world
and further, that this model of intelligence can be effectively
applied to
artificially intelligent systems. The authors first present the
foundations of
this new approach through an extensive review of the critical literature
in
social psychology, cognitive science, and evolutionary computation.
They
then show in detail how these theories and models apply to a new
computational intelligence methodology—particle swarms—which
focuses
on adaptation as the key behavior of intelligent systems. Drilling
down
still further, the authors describe the practical benefits of applying
particle
swarm optimization to a range of engineering problems. Developed
by
the authors, this algorithm is an extension of cellular automata
and
provides a powerful optimization, learning, and problem solving
method... [more]
 Artificial Intelligence
A New Synthesis
Nils Nilsson
ISBN: 9781558604674
Copyright 1998
Intelligent agents are employed as the central
characters in this new introductory text. Beginning with elementary
reactive agents, Nilsson gradually increases their cognitive
horsepower to illustrate the most important and lasting ideas
in AI. Neural networks, genetic programming, computer vision,
heuristic search, knowledge representation and reasoning, Bayes
networks, planning, and language understanding are each revealed
through the growing capabilities of these agents. The book provides
a refreshing and motivating new synthesis of the field by one
of AI's master expositors and leading researchers. Artificial
Intelligence: A New Synthesis takes the reader on a complete
tour of this intriguing new world of AI... [more]
Genetic Programming
An Introduction
Wolfgang Banzhaf
Peter Nordin
Robert Keller
Frank Francone
ISBN: 9781558605107
Copyright 1998
This unique introduction to genetic programming (GP) provides a detailed overview of the subject and its antecedents, with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide... [more]
C4.5
Programs for Machine Learning
J. Quinlan
ISBN: 9781558602380
Copyright 1993
C4.5 starts with large sets of cases belonging to known classes. The cases, described by any mixture of nominal and numeric properties, are scrutinized for patterns that allow the classes to be reliably discriminated. These patterns are then expressed as models, in the form of decision trees or sets of if-then rules, that can be used to classify new cases, with emphasis on making the models understandable as well as accurate The system has been applied successfully to tasks involving tens of thousands of cases described by hundreds of properties. The book starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting. Advantages and disadvantages of the C4.5 approach are discussed and illustrated with several case studies...[more]
Paradigms of Artificial Intelligence Programming
Case Studies
in Common Lisp
Peter Norvig
ISBN: 9781558601918
Copyright 1992
Paradigms of AI Programmingis the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer... [more]
Probabilistic Reasoning in Intelligent Systems
Networks of Plausible Inference
Judea Pearl
ISBN: 9781558604797
Copyright 1988
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations
and computational methods that underlie plausible reasoning under
uncertainty. The author provides a coherent explication of probability
as a language for reasoning with partial belief and offers a
unifying perspective on other AI approaches to uncertainty, such
as the Dempster-Shafer formalism, truth maintenance systems,
and nonmonotonic logic... [more]
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