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#artificial intelligence Review Sep 2026

A Unified Account of Concepts and Chunks

This paper reviews Cobweb, a computational account of categorization and concept formation, then proposes an extended theory that incorporates chunks and their acquisition, and presents \trellis/, an implementation of this theory, and illustrates its application to learning context-free grammars.

Karthik Singaravadivelan, P. Langley · 0 citations
Review Open access Sep 2026

Learning how: A “mindless” procedure alone gives rise to contextual cueing—A weakly supervised connectionist model of statistical context learning in visual search

Because our environment is not random, it is beneficial to assimilate the statistics of sensory impressions and improve performance, such as visual search for a target object in a cluttered array of nontarget objects (contextual cueing [CC] effect). Computational models of CC have so far focused on predicting the targe...

Werner Seitz, A. Zinchenko, H. Müller et al. · 0 citations
Sep 2026

ON AI AND SOME PHILOSOPHICAL CHALLENGES

A unified vision is offered: intelligence arises from constrained architectures and emergent patterns, and as AI systems become more autonomous, they may require surrogate forms of consciousness to handle complex, real-world challenges—though these will never fully replicate the biological original.

John-Michael M. Kuczynski · 0 citations
Open access Sep 2026

What is so hard about abstract words, anyways? A neuromechanistic explanation using brain-constrained neural network models

It is well known that children first learn words with concrete meaning, whereas abstract ones are typically acquired later. To obtain clues about the underlying causes and mechanisms, a brain-constrained neural network model of brain regions involved in semantic processing was trained on instances of concrete and abstr...

Fynn R. Dobler, L. Stroppa, F. Pulvermüller · 1 citation
#machine learning Preprint Oct 2026

A small cognitive core explains human behavior at scale

Psychology has proposed many principles of cognition. Each, however, was developed in isolation, leaving their combined explanatory power unknown. We assembled a small set of established principles into one model, which we call COntextual Retrieval and Encoding (CORE). CORE consists of a hierarchy of episodic memories...

Marcel Binz, Eric Schulz · 0 citations

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