AIMC Topic: Concept Formation

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

Topics in cognitive science Mar 31, 2015
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...
Learning Humans Cognition Neural Networks, Computer Concept Formation
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Assessing the impact of case sensitivity and term information gain on biomedical concept recognition.

PloS one Mar 19, 2015
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 ...
Concept Formation Algorithms Biological Ontologies
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A rational model of function learning.

Psychonomic bulletin & review Mar 3, 2015
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...
Concept Formation Problem Solving Association Learning Transfer, Psychology Normal Distribution Bayes Theorem Linear Models Models, Psychological Humans Machine Learning
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Learning to manipulate and categorize in human and artificial agents.

Cognitive science Jul 17, 2014
This study investigates the acquisition of integrated object manipulation and categorization abilities through a series of experiments in which human adults and artificial agents were asked to learn to manipulate two-dimensional objects that varied i...
Concept Formation Knowledge Visual Perception Adolescent Cognition Neural Networks, Computer Humans Adult Young Adult Female Male
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Leveraging Context for Perceptual Prediction Using Word Embeddings.

Cognitive science Jun 1, 2025
Word embeddings derived from large language corpora have been successfully used in cognitive science and artificial intelligence to represent linguistic meaning. However, there is continued debate as to how well they encode useful information about t...
Language Female Young Adult Humans Semantics Adult Concept Formation Male Psycholinguistics
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From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction.

Journal of vision Feb 1, 2022
Line drawings convey meaning with just a few strokes. Despite strong simplifications, humans can recognize objects depicted in such abstracted images without effort. To what degree do deep convolutional neural networks (CNNs) mirror this human abilit...
Recognition, Psychology Humans Neural Networks, Computer Concept Formation Visual Perception Learning
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A review of abstract concept learning in embodied agents and robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Aug 5, 2018
This paper reviews computational modelling approaches to the learning of abstract concepts and words in embodied agents such as humanoid robots. This will include a discussion of the learning of abstract words such as 'use' and 'make' in humanoid rob...
Humans Robotics Models, Psychological Learning Concept Formation Speech
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Concepts, control, and context: A connectionist account of normal and disordered semantic cognition.

Psychological review Apr 1, 2018
Semantic cognition requires conceptual representations shaped by verbal and nonverbal experience and executive control processes that regulate activation of knowledge to meet current situational demands. A complete model must also account for the rep...
Humans Neural Networks, Computer Semantics Executive Function Psycholinguistics Cognitive Neuroscience Concept Formation
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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.) Mar 4, 2016
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...
Formative Feedback Membrane Potentials Unsupervised Machine Learning Supervised Machine Learning Concept Formation Humans Reinforcement, Psychology Learning Neurons Speech Models, Neurological Neural Networks, Computer Brain
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New fundamental evidence of non-classical structure in the combination of natural concepts.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jan 13, 2016
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...
Models, Statistical Concept Formation Thinking Humans Quantum Theory Cognition Computer Simulation Fuzzy Logic Models, Neurological
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