The construction of a concept map consists of enumerating a list of concepts and —a more difficult task— determining the linking phrases that should connect the concepts to form meaningful propositions. Appropriate word selection, both for concepts and linking phrases, is key for an accurate knowledge representation of the user’s understanding of the domain. We present an algorithm that uses Wo...

In order to train machines to ‘understand’ natural language, we proposed a universal concept representational mechanism called E-HowNet to encode lexical semantics. In this paper, we take interrogative constructions as examples, i.e. concepts or sentences for asking questions or making inquiries, to demonstrate the mechanisms of semantic representation and composition under the framework of E-H...

In this article we present DUAL-PECCS, an integrated Knowledge Representation system aimed at extending artificial capabilities in tasks such as conceptual categorization. It relies on two different sorts of cognitively inspired common-sense reasoning: prototypical reasoning and exemplars-based reasoning. Furthermore, it is grounded on the theoretical tenets coming from the dual process theory ...

In order to train machines to ‘understand’ natural language, we propose a meaning representation mechanism called E-HowNet to encode lexical senses. In this paper, we take interrogatives as examples to demonstrate the mechanisms of semantic representation and composition of interrogative constructions under the framework of E-HowNet. We classify the interrogative words into five classes accordi...

Abstract This article reports on a case study that aims to help students develop mechanistic reasoning through constructing model based stop-motion animation of physical phenomenon. Mechanistic is valuable thinking strategy for in trying make sense scientific phenomena. Ten ninth-grade used software create an projectile motion. Retrospective think-aloud interviews were conducted investigate how...

BACKGROUND Family physicians perceive that gut feelings, i.e. a 'sense of reassurance' or a 'sense of alarm', play a substantial role in diagnostic reasoning. A measuring instrument is desirable for further research. Our objective is to validate a questionnaire measuring the presence of gut feelings in diagnostic reasoning. METHODS We constructed 16 case vignettes from real practice situation...

Corpus-based techniques have proved to be very beneficial in the development of efficient and accurate approaches to word sense disambiguation (WSD) despite the fact that they generally represent relatively shallow knowledge. It has always been thought, however, that WSD could also benefit from deeper knowledge sources. We describe a novel approach to WSD using inductive logic programming to le...

most contemporary clinical reasoning tests typically assess non-automatic thinking. therefore, a test is needed to measure automatic reasoning or pattern recognition, which has been largely neglected in clinical reasoning tests. the puzzle test (pt) is dedicated to assess automatic clinical reasoning in routine situations. this test has been introduced first in 2009 by monajemi et al in the oly...

Abstract According to an influential physicalist view, the intuition of distinctness is a cognitive illusion in sense that it results from fallacious reasoning: we erroneously infer referents phenomenal and physical concepts are different, fact there certain difference between our uses those concepts. (Kammerer, Review Philosophy Psychology 10:649–667, 2019) has recently argued, however, psycho...