Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

In this article we survey ambient intelligence (AmI), including its applications, some of the
technologies it uses, and its social and ethical implications. The applications include AmI at …

The general purpose of this chapter is to provide a critical analysis on the controversial
enterprise of 'logics of discovery'. It is naturally divided into six parts. After this introduction, in …

Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in
various fields. Industry 4.0 also manifests in the farming sector, where the wave of …

The purpose of this paper is to study the fundamental mechanism, humans use in
argumentation, and to explore ways to implement this mechanism on computers. We do so …

Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

Abstract Inductive Logic Programming (ILP) is a new discipline which investigates the
inductive construction of first-order clausal theories from examples and background …

Perception and reasoning are two representative abilities of intelligence that are integrated
seamlessly during human problem-solving processes. In the area of artificial intelligence …

A concise and lucid exposition of the major topics in knowledge representation, from two of
the leading authorities in the field.-Stuart Russell, UC Berkeley The information is valuable …

This paper firstly provides a re-appraisal of the development of techniques for inverting
deduction, secondly introduces Mode-Directed Inverse Entailment (MDIE) as a …