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Concept Formation

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Assessing the impact of case sensitivity and term information gain on biomedical concept recognition.

PloS one
Concept recognition (CR) is a foundational task in the biomedical domain. It supports the important process of transforming unstructured resources into structured knowledge. To date, several CR approaches have been proposed, most of which focus on a ...

Interactive effects of explicit emergent structure: a major challenge for cognitive computational modeling.

Topics in cognitive science
David Marr's (1982) three-level analysis of computational cognition argues for three distinct levels of cognitive information processing-namely, the computational, representational, and implementational levels. But Marr's levels are-and were meant to...

A rational model of function learning.

Psychonomic bulletin & review
Theories of how people learn relationships between continuous variables have tended to focus on two possibilities: one, that people are estimating explicit functions, or two that they are performing associative learning supported by similarity. We pr...

["Chemistry of Concepts”and “Historical Sense”. On Philosophical Concept Formation].

Berichte zur Wissenschaftsgeschichte
"Chemistry of Concepts" and "Historical Sense". On Philosophical Concept Formation. The question concerning concepts and their relations to objects and words has had a long and controversial history. Recently, it is challenged by an anew turn towards...

A connectionist model of the retreat from verb argument structure overgeneralization.

Journal of child language
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...

Incremental Bayesian Category Learning From Natural Language.

Cognitive science
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., ...

Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept.

Computational intelligence and neuroscience
We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual ...

Human-level concept learning through probabilistic program induction.

Science (New York, N.Y.)
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer...

New fundamental evidence of non-classical structure in the combination of natural concepts.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
We recently performed cognitive experiments on conjunctions and negations of two concepts with the aim of investigating the combination problem of concepts. Our experiments confirmed the deviations (conceptual vagueness, underextension, overextension...

Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.)
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...