Computational theories of mind assume that participants interpret information and then reason from those interpretations. Research on interpretation in deductive reasoning has claimed to show that subjects' interpretation of single syllogistic premises in an "immediate inference" task is radically different from their interpretation of pairs of the same premises in syllogistic reasoning tasks (...

BACKGROUND Olfactory function tests are sensitive tools for assessing sensory-cognitive processing in schizophrenia. However, associations of central olfactory measures with clinical outcome parameters have not been simultaneously studied in large samples of schizophrenia patients. METHODS In the framework of the comprehensive phenotyping of the GRAS (Göttingen Research Association for Schizo...

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Object recognition has a long history in pattern recognition and computer vision. A major problem addressed is the development of models which are suitable for recognition and scene interpretation tasks. Two principal paradigms are emphasized. On the one hand side statistical and neural models making use of representative training samples optimizing parameters of decision functions. Contrarily,...

In this paper we present an ontology-based utterance interpretation in the context of intelligent assistance. Ontologies are used for syntactic and semantic interpretation and for task representation. This mechanism is embedded in a conversational interface applied to personal assistant agents. The main goal of this approach is to offer a system capable of performing tasks through an intuitive ...

The interpretation of temporal expressions in text is an important constituent task for many practical natural language processing tasks, including question-answering, information extraction and text summarisation. Although temporal expressions have long been studied in the research literature, it is only more recently, with the impetus provided by exercises like the ACE Program, that attention...

As deep learning (DL) models have been successfully applied to various image processing tasks, DL models, particularly convolutional neural networks (CNN), introduced into the geosciences assist geologists in faster seismic interpretation. However, generalization of DL-based fault interpretation is a challenge. When data with different characteristics, their performance degrades significantly. ...

One of the obvious tasks for the Square Kilometer Array is to perform deep neutral hydrogen 21-cm emission line surveys out to large redshifts. For the planning of these surveys, and for the interpretation of the results, it is important to have solid z = 0 benchmarks. This paper summarizes some of the results of local extragalactic 21-cm surveys and their implications on the interpretation of ...

This paper describes research into structured, knowledge-based image interpretation. An integrated framework has been developed, within which most tasks associated with the automatic interpretation and analysis of lateral skull X-ray images (cephalometry) can be performed. A model-based image analysis system makes use of a blackboard architecture and multiple knowledge sources. Its performance ...

This paper presents an approach to coordination based upon concurrent interpretation of scripts among agents adopting various roles in cooperative problem solving tasks. The paper also introduces an associated coordination language TRuCE that can be used for writing protocol scripts.