The theory of first-order logic - or Model Theory - appears in few studies of learning and scientific discovery. We speculate about the reasons for this omission, and then argue for the utility of Model Theory in the analysis and design of automated systems of scientific discovery. One scientific task is treated from this perspective in detail, namely, concept discovery. Two formal paradigms bearing on this probleni are presented and investigated using the tools of logical theory. One paradigm bears on PAC learning, the other on identification in the limit
We propose a new model of human concept learning that provides a rational analysis for learning of f...
The present paper analyses the topic of scientific discovery and the problem of the existence of a l...
Epistemologists have debated at length whether scientific discovery is a rational and logical proces...
We study and implement algorithms to revise and learn first-order logical theories, written in claus...
) W. Maass Gy. Tur'an y 1 Introduction Several applications of learning in artificial inte...
Three different formalizations of concept-learning in logic (as well as some variants) are analyzed ...
An up-to-date and integrated introduction to model theory, designed to be used for graduate courses ...
. Modeling epistemic processes in scientific discovery satisfactorily is an indispensable step to au...
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to wh...
We present in this report a novel approach to learning that results in a first-order logic model. Th...
We discuss first order theories in which individual concepts are admitted as mathematical objects al...
Abstract. In this paper we describe recent developments in the study of abduction and induction and ...
This article reviews a number of different areas in the foundations of formal learning theory. After...
Les Valiant has recently conceived a remarkable mathematical model of learnability. The originality ...
Learning is a pervasive topic in Artificial Intelligence (AI). It was already a well expressed conce...
We propose a new model of human concept learning that provides a rational analysis for learning of f...
The present paper analyses the topic of scientific discovery and the problem of the existence of a l...
Epistemologists have debated at length whether scientific discovery is a rational and logical proces...
We study and implement algorithms to revise and learn first-order logical theories, written in claus...
) W. Maass Gy. Tur'an y 1 Introduction Several applications of learning in artificial inte...
Three different formalizations of concept-learning in logic (as well as some variants) are analyzed ...
An up-to-date and integrated introduction to model theory, designed to be used for graduate courses ...
. Modeling epistemic processes in scientific discovery satisfactorily is an indispensable step to au...
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to wh...
We present in this report a novel approach to learning that results in a first-order logic model. Th...
We discuss first order theories in which individual concepts are admitted as mathematical objects al...
Abstract. In this paper we describe recent developments in the study of abduction and induction and ...
This article reviews a number of different areas in the foundations of formal learning theory. After...
Les Valiant has recently conceived a remarkable mathematical model of learnability. The originality ...
Learning is a pervasive topic in Artificial Intelligence (AI). It was already a well expressed conce...
We propose a new model of human concept learning that provides a rational analysis for learning of f...
The present paper analyses the topic of scientific discovery and the problem of the existence of a l...
Epistemologists have debated at length whether scientific discovery is a rational and logical proces...