We present a framework for a declarative approach to spatiotemporal reasoning on geographical data, based on the constraint logical language STACLP, which offers deductive and inductive capabilities. It can be exploited for a deductive rule-based approach to represent domain knowledge on data. Furthermore it is well suited to model trajectories of moving objects, which can be analysed by using ...

We used the "standard" and "switched" social contract versions of the Wason Selection-task to investigate the neural bases of human reasoning about social rules. Both these versions typically elicit the deontically correct answer, i.e. the proper identification of the violations of a conditional obligation. Only in the standard version of the task, however, this response corresponds to the logi...

Abduction is a topic that attracts much interest in AI and automated reasoning research. Diierent approaches have been devised, that give a formalized account of explanatory reasoning, propose methods to compute explanations, frame abduction in the context of logic programming. However, the logical nature of abduction is still far from being clear and diierent speciications of the key underlyin...

A key question for cognitive theories of reasoning is whether logical reasoning is inherently a sentential linguistic process or a process requiring spatial manipulation and search. We addressed this question in an event-related fMRI study of syllogistic reasoning, using sentences with and without semantic content. Our findings indicate involvement of two dissociable networks in deductive reaso...

Abduction is a topic that attracts much interest in AI and automated reasoning research. Diierent approaches have been devised, that give a formalized account of explanatory reasoning, propose methods to compute explanations, frame abduction in the context of logic programming. However, the logical nature of abduction is still far from being clear and diierent speciications of the key underlyin...

Dong, F. and L.V.S. Lakshmanan, Intuitionistic interpretation of deductive databases with incomplete information, Theoretical Computer Science 133 (1994) 267-306. The aim of this paper is to build the relationship between deductive databases with incomplete information and hypothetical reasoning using embedded implications. We first consider the semantics of deductive databases with incomplete ...

DISLOG is a system for reasoning in disjunctive deductive databases. It seeks to combine features of disjunctive logic programming, such as the support for incomplete information, with those of deductive databases, such as all–result inference capabilities. Several basic operators are provided for logical and non–monotonic reasoning: The logical consequence operator derives all logically implie...