Artificial Intelligence with Common Lisp: Fundamentals of Symbolic and Numeric Processing[The book] provides a balanced survey of the fundamentals of artificial intelligence, emphasizing the relationship between symbolic and numeric processing. The text is structured around an innovative, interactive combination of LISP programming and AI; it uses the constructs of the programming language to help readers understand the array of artificial intelligence concepts presented. After an overview of the field of artificial intelligence, the text presents the fundamentals of LISP, explaining the language's features in more detail than any other AI text. Common Lisp is then used consistently, in both programming exercises and plentiful examples of actual AI code.- Back cover This text is intended to provide an introduction to both AI and LISp for those having a background in computer science and mathematics.-Pref. |
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Contents
An Introduction to LISP | 23 |
Intermediate LISP Programming | 75 |
Search | 157 |
Natural Language Processing | 203 |
Vision | 243 |
Logic and Inference | 282 |
Expert Systems | 309 |
Problem Solving | 343 |
Special and Parallel Architectures | 459 |
Prolog and Advanced Lisp | 487 |
Social and Philosophical Issues | 528 |
Appendix A Summary of Lisp Constructs | A-1 |
Appendix B ASCII Character Set | A-7 |
Glossary of Al Terms | A-36 |
A-47 | |
Name Index | A-63 |
Common terms and phrases
algorithm alist Allen Newell applications arguments Artificial Intelligence associated backward chaining brain cells Chapter clause Common Lisp concept defined defun depth-first search developed elements error evaluated example expert system facts func function called given goal heuristic human implementation indicates inference initial input integer knowledge base knowledge representation layer learning LISP function Lisp machines logic Logic Theorist M.I.T. Press machine mathematical matrix memory natural language nc[l needed neural network node notation object object-oriented programming operator output parallel parameter parse path pattern matching perform pixel possible predicate problem solving processors programming language Prolog recursive represent representation result Returns robot rule s-expression search methods Section sensors sentence sequence setf setq simple solution specific strategy string structure subgoals symbolic atoms theorem tion tree update variable vector weights wherein Write WriteLn York
References to this book
Digital Image Processing and Analysis Bhabatosh Chanda,Dwijesh Dutta Majumder No preview available - 2004 |