Titlebook: Logic for Learning; Learning Comprehensi J. W. Lloyd Textbook 2003 J. W. Lloyd 2003 Prolog.algorithmic learning.artificial intelligence.com

AFFIX

向下

DAFT

懶鬼才會衰弱

Introduction,After an outline of the book, this chapter gives a brief historical introduction to computational logic and machine learning, and their intersection. It also provides some motivation for the topics studied in the form of introductions to learning and to logic.

談判

magenta

整潔漂亮

Learning,This chapter discusses a widely applicable learning paradigm that leads to comprehensible theories, provides an overview of the . learning system, and also gives some illustrations of this approach to learning.

agonist

Predicates,ay or may not satisfy. Essentially, all that is required is the definition of a suitable collection of predicates on the type of an individual. However, these predicates are usually built up incrementally by composition and it is this incremental construction that is studied here.

惡名聲

https://doi.org/10.1007/978-3-662-08406-9Prolog; algorithmic learning; artificial intelligence; computational learning; computational logic; highe

名字的誤用