Association, conditioning, and symbolic learning represent distinct psychological processes.
Association, conditioning, and symbolic learning are recognized across psychological and computational literature as fundamentally distinct processes operating through different mechanisms.
The retrieved literature consistently delineates between lower-level associative learning/conditioning (such as Pavlovian-instrumental transfer or reinforcement learning) and higher-level symbolic or cognitive processing. Therefore, the claim is supported.
Samit Shivadekar. Artificial Intelligence for Cognitive Systems: Deep Learning, Neuro- symbolic Integration, and Human-Centric Intelligence. 2025. https://doi.org/10.70593/978-93-7185-611-9
Distinguishes between neural associative mechanisms and symbolic reasoning networks in cognitive architectures.
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Dudhabhate BB, Costa KM. A brief history of dopamine prediction errors.. 2026. https://doi.org/10.3389/fncom.2026.1825622
Details how associative learning rules differ from rule-based computational algorithms.
Lincoln TM, Romberg H, Torrents-Rodas D, Bott A. A review and integration of models on delusion maintenance.. 2026. https://doi.org/10.1017/s0033291726103705
Classifies distinct etiological frameworks separating associative learning from cognitive and symbolic processing.
Huang Y, Qu C, Gazzola V, Garofalo S, Starita F, Krebs RM, Degni LAE, Wei J, Finotti G, Pellegrino GD, Desmurget M, Sirigu A, Bardi L. Motor activation in cue-guided behavior: Neural evidence from human Pavlovian-to-instrumental transfer (PIT).. 2026. https://doi.org/10.1016/j.neuroimage.2026.121874
Examines how Pavlovian conditioning mechanisms interact with separate instrumental action representations.
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