This book presents a research project aimed at the building of a “thinking machine,” that is, a
general-purpose artificial intelligence. Artificial intelligence has a scientific and an …

Every artificial-intelligence research project needs a working definition of" intelligence", on
which the deepest goals and assumptions of the research are based. In the project …

A single inference procedure (abduction) can operationalise a wide variety of knowledge-
level modelling problem solving methods; ie prediction, classification, explanation, tutoring …

An experience-grounded semantics is introduced for an intelligent reasoning system, which
is adaptive, and works with insufficient knowledge and resources. According to this …

This paper is about the philosophical and methodological foundation of arti cial intelligence
(AI). After discussing what is a good\working de nition",\intelligence" is de ned as\the ability …

By analyzing the relationships among chance, weight of evidence and degree of belief, we
show that the assertion “probability functions are special cases of belief functions” and the …

Is there an “essence of intelligence” that distinguishes intelligent systems from non-
intelligent systems? If there is, then what is it? This chapter suggests an answer to these …

This paper aims to make explicit the methodological conditions that should be satisfied for
the Bayesian model to be used as a normative model of human probability judgment. After …

Intelligence can be understood as a form of rationality, in the sense that an intelligent system
does its best when its knowledge and resources are insufficient with respect to the problems …

In discussions on the limitations of Artificial Intelligence (AI), there are three major
misconceptions, identifying an AI system with an axiomatic system, a Turing machine, or a …