Qualitative spatial and temporal reasoning (QSTR) is concerned with symbolic knowledge
representation, typically over infinite domains. The motivations for employing QSTR …

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

Qualitative reasoning is an approach for dealing with commonsense knowledge without
using numerical computation. Instead, one tries to represent knowledge using a limited …

Representation and reasoning with qualitative spatial relations is an important problem in
artificial intelligence and has wide applications in the fields of geographic information …

Starting with an updated description of Allen's calculus, the book proceeds with a description
of the main qualitative calculi which have been developed over the last two decades. It …

This collection represents the primary reference work for researchers and students in the
area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to …

It has now been clear for some time that for many qualitative spatial or temporal calculi, for
instance the well-known RCC8 calculus, the operation of composition of relations which is …

Information about the size of spatial regions is often easily accessible and, when combined
with other types of spatial information, it can be practically very useful. In this paper we …

The results of the Program for International Student Assessment (PISA) study on the
scientific literacy of Indonesian students since the year 2000 have been still far below the …

This paper introduces a method for the automatic acquisition of a rich case representation
from free text for process-oriented case-based reasoning. Case engineering is among the …