Opening book details…
Can I read Algorithmic Methods for Artificial Intelligence on EtoBox?
Algorithmic Methods for Artificial Intelligence by Michael Griffiths, Carol Palissier, Michael Griffiths is a book available to read on EtoBox.
What is Algorithmic Methods for Artificial Intelligence about?
This book provides students of computer studies and professional programmers with a practical introduction to artificial intelligence. It considers both algorithmic and programming methods, explains the theoretical concepts and includes numerous examples of the various techniques used. The text begins by reviewing the history and application of artificial intelligence, and the data structures and program structures involved, including trees, graphs and recursive programs. It then goes on to consider the resolution methods that must be applied to non-deterministic problems, introducing enumeration and theorem-proving. Chapter 4 looks at theorem proving more closely, and the use of basic mathematical methods are demonstrated in detail. The following two chapters are concerned with the practical application of these methods. Previously used examples illustrate the development of an expert system, and LISP and PROLOG are described in detail. The algorithmic language used is outlined in the first appendix, and the second appendix provides solutions to the exercises that appear throughout the book
- Author
- Michael Griffiths, Carol Palissier, Michael Griffiths
- Publisher
- New York, N.Y.: Chapman and Hall
- Published
- 1987
- Language
- EN
- ISBN
- 9780412015410
- Subjects
- Computer Science, Science, Mathematics
Other editions & translations
More by Michael Griffiths, Carol Palissier, Michael Griffiths
Browse all works by Michael Griffiths, Carol Palissier, Michael Griffiths
Similar books
- Algorithmic Intelligence: Towards An Algorithmic Foundation For Artificial Intelligence (artificial Intelligence: Foundations, Theory, And Algorithms) — Stefan Edelkamp (2023)
- Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics — edited by Yi Pan, Georgia State University, Jianxin Wang, Central South University, China, Min Li, (2014)
- Logic for Computer Science and Artificial Intelligence: Caferra/Logic for Computer Science and Artificial Intelligence — Ricardo Caferra(auth.) (2011)
- Empirical Methods for Artificial Intelligence (Bradford Books) — Paul R. Cohen (1995)
- Argumentation in Artificial Intelligence — Douglas Walton (auth.), Guillermo Simari, Iyad Rahwan (2009)
- Search Methods for Artificial Intelligence — Bolc, Leonard, Cytowski, Jerzy (1992)