Parametre
- 946 stránok
- 34 hodin čítania
Viac o knihe
Paradigms of AI Programming is 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.
Nákup knihy
Paradigms of Artificial Intelligence Programming, Peter Norvig
- Jazyk
- Rok vydania
- 1992
- product-detail.submit-box.info.binding
- (mäkká)
Platobné metódy
Tu nám chýba tvoja recenzia
- Titul
- Paradigms of Artificial Intelligence Programming
- Podtitul
- Case Studies in Common Lisp
- Jazyk
- anglicky
- Autori
- Peter Norvig
- Vydavateľ
- Morgan Kaufmann
- Rok vydania
- 1992
- Väzba
- mäkká
- Počet strán
- 946
- ISBN10
- 1558601910
- ISBN13
- 9781558601918
- Série
- Štítky
- Náučná literatúra, Technológie & Priemysel, Počítače & Internet, Technológia, Softvér, Umelá inteligencia
- Hodnotenie
- 4,35 z 5
- Anotácia
- Paradigms of AI Programming is 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.