This paper surveys the work of the qualitative spatial reasoning group at the University of
Leeds. The group has developed a number of logical calculi for representing and reasoning …

This paper surveys methods for representing and reasoning with imperfect information. It
opens with an attempt to classify the different types of imperfection that may pervade data …

The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

This accessible and engaging textbook presents a concise introduction to the exciting field
of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines …

A classical measure is essentially a set function satisfying nonnegativity and countable
additivity axioms. However, the additivity axiom of classical measure theory has been …

This book presents a systematic treatment of deductive aspects and structures of fuzzy logic
understood as many valued logic sui generis. Some important systems of real-valued …

Intelligent agents are employed as the central characters in this new introductory text.
Beginning with elementary reactive agents, Nilsson gradually increases their cognitive …

Some information and knowledge are usually represented by human language like “about
100km”,“approximately 39° C”,“roughly 80kg”,“low speed”,“middle age”, and “big size”. How …

“Is there a need for fuzzy logic?” is an issue which is associated with a long history of spirited
discussions and debate. There are many misconceptions about fuzzy logic. Fuzzy logic is …

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI)
expands and generalizes traditional AI. It explores the uncertainties of knowledge and …