Unification and explanation from a causal perspective

Gebharter, Alexander; Feldbacher-Escamilla, Christian J.

doi:10.1016/j.shpsa.2022.12.005

Cited by 1 publication

(1 citation statement)

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“…Probabilistic models have been accused of behaviorism due to their lack of attention and commitment to talk of mental representations. Probabilistic models have been favored over alternatives due to their unificatory power [50,51] but the relationship between unification and (causal) explanation has been questioned across domains in science continually [52]. Generally, these discussions highlight the need for more psychological theorizing in Bayesian models of cognition, as opposed to building more computationally sophisticated models.…”

Section: What Is Missingmentioning

confidence: 99%

Probabilistic Learning and Psychological Similarity

Poth

2023

Entropy

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The notions of psychological similarity and probabilistic learning are key posits in cognitive, computational, and developmental psychology and in machine learning. However, their explanatory relationship is rarely made explicit within and across these research fields. This opinionated review critically evaluates how these notions can mutually inform each other within computational cognitive science. Using probabilistic models of concept learning as a case study, I argue that two notions of psychological similarity offer important normative constraints to guide modelers’ interpretations of representational primitives. In particular, the two notions furnish probabilistic models of cognition with meaningful interpretations of what the associated subjective probabilities in the model represent and how they attach to experiences from which the agent learns. Similarity representations thereby provide probabilistic models with cognitive, as opposed to purely mathematical, content.

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Section: What Is Missingmentioning

confidence: 99%

Probabilistic Learning and Psychological Similarity

Poth

2023

Entropy

View full text Add to dashboard Cite

show abstract

Unification and explanation from a causal perspective

Cited by 1 publication

References 20 publications

Probabilistic Learning and Psychological Similarity

Probabilistic Learning and Psychological Similarity

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