Definition: that involves changing the strength of association between two or more mental processes.Comment: While associative learning is often defined as learning an association between a stimulus and response, the stimulus has to be perceived.Therefore, associative learning is between perceiving or processing information about a stimulus (a mental process) and one or more other mental processes.The label 'associative learning' is also used for a behaviour change technique (BCT) in the BCT Taxonomy v1 (Michie et al., 2013).The definition for this BCT reads as follows: 'Present a neutral stimulus jointly with a stimulus that already elicits the behavior repeatedly until the neutral stimulus elicits that behavior.'As indicated by the definition, the BCT is the deliberate presentation of a stimulus, whereas the MoA is a learning process that occurs in the brain. This definition was imported from the Behaviour Change Intervention Ontology (see https://bciosearch.org/). Commentsand suggestions for improvements are welcome using the Qeios review system.Definitions imported from the Behaviour Change Intervention Ontology (BCIO) are what are known as 'ontological definitions'.See this article in Qeios for an explanation https://www.qeios.com/read/YGIF9B.Ontological definitions can sometimes be hard to read.In those cases we also include an informal definition.Definitions also often require elaboration to make it clear how they should be used and what they include.In those cases we include a comment.Also, definitions sometimes require an explanation as to how they came about to help users understand how they relate to

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Associative Learning

2011

In this chapter, a self-organizing associative memory capable of both hetero-associative and auto-associative learning is designed and analyzed. This memory model is hierarchically organized with sparse and local connections, self-organizing processing elements, and probabilistic information transmissions. The chapter focuses on the understanding of the associative learning principle within the distributed hierarchical neural network organization. The self-organizing associative memory presented in the chapter consists of a multilayer array of processing elements (PE). The simulation results on various application problems presented in the chapter demonstrate competitive performance of the proposed self-organizing associative memory on both hetero- and auto-associations applications. In the chapter, the Iris database from the UCI Machine Learning Repository and two image recovery problems are used to illustrate both the hetero-association and auto-association applications of the selforganizing memory model. Controlled Vocabulary Terms artificial intelligence; learning systems; neural nets

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Associative Learning

2013

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Associative learning

Behaviour Change Intervention Ontology (BCIO) · Definitions · 2024

Definition: Learning that involves changing the strength of association between two or more mental processes.Comment: While associative learning is often defined as learning an association between a stimulus and response, the stimulus has to be perceived.Therefore, associative learning is between perceiving or processing information about a stimulus (a mental process) and one or more other mental processes.The label 'associative learning' is also used for a behaviour change technique (BCT) in the BCT Taxonomy v1 (Michie et al., 2013).The definition for this BCT reads as follows: 'Present a neutral stimulus jointly with a stimulus that already elicits the behavior repeatedly until the neutral stimulus elicits that behavior.'As indicated by the definition, the BCT is the deliberate presentation of a stimulus, whereas the MoA is a learning process that occurs in the brain. This definition was imported from the Behaviour Change Intervention Ontology (see https://bciosearch.org/). Commentsand suggestions for improvements are welcome using the Qeios review system.Definitions imported from the Behaviour Change Intervention Ontology (BCIO) are what are known as 'ontological definitions'.See this article in Qeios for an explanation https://www.qeios.com/read/YGIF9B.Ontological definitions can sometimes be hard to read.In those cases we also include an informal definition.Definitions also often require elaboration to make it clear how they should be used and what they include.In those cases we include a comment.Also, definitions sometimes require an explanation as to how they came about to help users understand how they relate to

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Associative Learning

Mauricio R. Papini, Shannon E. Conrad · 2017

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Associative Learning

Marc D. Binder, Nobutaka Hirokawa, Uwe Windhorst · 2008

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Associative Learning

Kluwer Academic Publishers eBooks · 2006

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Associative learning

Mauricio R. Papini, Kenneth J. Leising · 2025

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Associative learning

Yadin Dudai · 2002

Abstract The notion of ‘association’ is central to both the philosophical and the experimental study of the mind. In philosophy it can be traced back to Aristotle, who proposed that similarity, contrast, and contiguity of images sub serve recollection (On memory; Sorabji 1972). ‘Associationism’, the philosophical doctrine that the mind learns and construes the world bottom-up by associating elementary events, has emerged with British empiricism in the seventeenth century (Warren 1921).

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