McGraw-Hill, 1991 - 621 páginas
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
Resultados 1-3 de 82
... that they cannot interfere with each other. When we discuss Bayesian networks
in the next section, we describe a systematic solution to this problem. We can
summarize this discussion of certainty factors and rule-based systems as follows.
In this section we briefly discuss three additional methods: constraints, simulation
models, and subsymbolic systems. Keep in mind throughout this discussion that it
is not always the case that these various representational systems are ...
We have already discussed the first of these steps (in Section 15.3). In the rest of
this section, we discuss the second. Montague Semantics Recall that we argued
in Section 15.1.1 that the reason syntactic parsing was a good idea was that it ...
Comentarios de la gente - Escribir un comentario
Calificaciones de los usuarios
very poor book for novice.Assumes u already know AI and the language is not at all user friendly.One has to read a sentence repeatedly to get a grasp and some times even then u don't understand.Go for other books much better than this
not soo good to go for novice
What Is Artificial Intelligence?
Problems Problem Spaces and Search
Heuristic Search Techniques
Derechos de autor
Otras 21 secciones no mostradas