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.
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.· Psychonomic Bulletin & Revie...· 0 citations
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· Communication & Cognitio...· 0 citations
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· Cognitive Neurodynamics· 1 citation
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...