Multimodal Semantics for Affordances and Actions

Pustejovsky, James; Krishnaswamy, Nikhil

doi:10.1007/978-3-031-05311-5_9

“…An alternativeimplicit in many Bayesian modelsis to treat the symbols as reifications of some distribution in the world: There are some features that are reliably (if probabilistically) encountered in combination, and we use, for example, "Alice" to refer to one such combination (or a posited essence that explains the combination; see Oved, 2015). This straightforwardly allows for recognition, for example through an NN classifier (Pustejovsky & Krishnaswamy, 2022;Wu, Yildirim, Lim, Freeman, & Tenenbaum, 2015). Thus, the LoT sentence BEAT(ALICE, BART, TUG-OF-WAR) means that in observing the referred-to scene, we would recognize (our NN classifier would identify) an Alice, a Bart, a beating, and tug-of-war, and that these entities would be arranged in the appropriate way (see also Pollock & Oved, 2005).…”

Section: Introductionmentioning

confidence: 99%

The computational and the representational language-of-thought hypotheses

Chalmers

2023

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There are two versions of the language-of-thought hypothesis (LOT): Representational LOT (roughly, structured representation), introduced by Ockham, and computational LOT (roughly, symbolic computation) introduced by Fodor. Like many others, I oppose the latter but not the former. Quilty-Dunn et al. defend representational LOT, but they do not defend the strong computational LOT thesis central to the classical-connectionist debate.

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“…An alternativeimplicit in many Bayesian modelsis to treat the symbols as reifications of some distribution in the world: There are some features that are reliably (if probabilistically) encountered in combination, and we use, for example, "Alice" to refer to one such combination (or a posited essence that explains the combination; see Oved, 2015). This straightforwardly allows for recognition, for example through an NN classifier (Pustejovsky & Krishnaswamy, 2022;Wu, Yildirim, Lim, Freeman, & Tenenbaum, 2015). Thus, the LoT sentence BEAT(ALICE, BART, TUG-OF-WAR) means that in observing the referred-to scene, we would recognize (our NN classifier would identify) an Alice, a Bart, a beating, and tug-of-war, and that these entities would be arranged in the appropriate way (see also Pollock & Oved, 2005).…”

Section: Introductionmentioning

confidence: 99%

The reemergence of the language-of-thought hypothesis: Consequences for the development of the logic of thought

Cesana-Arlotti

2023

Behav Brain Sci

1

0

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Quilty-Dunn et al. defended the reemergence of language-of-thought hypothesis (LoTH). My commentary builds up implications for the study of the development of our logical capacities. Empirical support for logically augmented LoT systems calls for the investigation of their logical primitives and developmental origin. Furthermore, Quilty-Dunn et al.'s characterization of LoT helps the quest for the foundation of logic by dissociating logical cognition from natural language.

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