Learning and Reasoning with Complex Representations

Beschreibung

This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996.
The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis.

Autor*in

Grigoris Antoniou

Themen in »Learning and Reasoning with Complex Representations«

Fuzzy action theory algorithmic learning algorithms artificial intelligence constraint logic programming fuzzy reasoning inductive inference intelligence learning programming uncertainty

Stimmen zu »Learning and Reasoning with Complex Representations«

Details

Link teilen