Towards a more flexible language of thought: Bayesian grammar updates after each concept exposure.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.042128
Abstract: Recent approaches to human concept learning have successfully combined the power of symbolic, infinitely productive rule systems and statistical learning to explain our ability to learn new concepts from just a few examples. The aim… read more here.
Keywords: concept learning; language thought; towards flexible; thought bayesian ... See more keywords
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3010918
Abstract: In human concept learning, people can naturally combine a handful of labeled data with abundant unlabeled data when they make classification decisions, which is also known as semi-supervised learning (SSL) in machine learning. Especially, human… read more here.
Keywords: mml; concept; math; learning concept ... See more keywords
Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3235800
Abstract: Representation and learning of concepts are critical problems in data science and cognitive science. However, the existing research about concept learning has one prevalent disadvantage: incomplete and complex cognitive. Meanwhile, as a practical mathematical tool… read more here.
Keywords: two way; way; concept; concept cognitive ... See more keywords
Phonological Concept Learning
Sign Up to like & getrecommendations! Published in 2017 at "Cognitive science"
DOI: 10.1111/cogs.12319
Abstract: Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can… read more here.
Keywords: cue; concept learning; rule seeking; phonological concept ... See more keywords
Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/8361369
Abstract: This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. Based on an operant conditioning procedure, the robots learn the relationship… read more here.
Keywords: spatial concept; neural network; spiking neural; concept learning ... See more keywords
Statistical Analysis of Multisensory and Text-Derived Representations on Concept Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.861265
Abstract: When learning concepts, cognitive psychology research has revealed that there are two types of concept representations in the human brain: language-derived codes and sensory-derived codes. For the objective of human-like artificial intelligence, we expect to… read more here.
Keywords: text derived; derived representations; multisensory text; text ... See more keywords