2021
DOI: 10.1016/j.cognition.2020.104576
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Learning words in space and time: Contrasting models of the suspicious coincidence effect

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Cited by 5 publications
(5 citation statements)
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“…In any case, this different positioning does not preclude the ability of any of these paradigms to generalize to a wide range of tasks and mechanisms. Both make sense at their own level, although it can be argued that Bayesian modeling might be too broad to capture some of the most subtle behaviors that may emerge from neural interaction (Jenkins et al, 2021). That additional precision of DNF comes at the cost of an extended parameter space.…”
Section: Discussionmentioning
confidence: 99%
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“…In any case, this different positioning does not preclude the ability of any of these paradigms to generalize to a wide range of tasks and mechanisms. Both make sense at their own level, although it can be argued that Bayesian modeling might be too broad to capture some of the most subtle behaviors that may emerge from neural interaction (Jenkins et al, 2021). That additional precision of DNF comes at the cost of an extended parameter space.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, in our model, as in many previous DNF models (Wilimzig et al, 2006;Fix et al, 2011), white noise is used while not spatially correlated. One could expect that spatially correlated noise (as used in Taouali et al, 2015;Jenkins et al, 2021) would help fit the variance better, especially in scenarios involving a very thin visual stimulus. Then, we have seen that the parameter dimensionality could be reduced (for example by removing σ − and using global inhibition), and that some pairs of parameters could compensate one another in an optimization task (most notably, λ + and σ + , τ and σ N , λ A and σ A ).…”
Section: Discussionmentioning
confidence: 99%
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“…Shaw and Liu [3] argues that these hints, signs or coincidences may be clear and interpretable, or they may be ambiguous and need in-depth analysis and understanding through the study of symbols and signals that could lead to a possible future or a set of predictions about future humans or societies. Jenkins et al [4] points out that there are many ancient classical novels that presented many concepts and phenomena that have recently been perceived as hints and signals of the future. According to Caracciolo [5] these hints were made by the author, perhaps by pure coincidence, as he included elements, ideas, or developments within the novel/ story that actually occurred at the present time.…”
Section: Introductionmentioning
confidence: 99%
“…The theoretical interpretation and implications of these findings have engendered wide debate: Xu and Tenenbaum attribute the phenomenon to participants' sensitivity to how learning experiences are sampled (so-called "strong sampling"), while others have argued for alternative mechanisms grounded in general cognitive processes such as attention and memory (Spencer et al, 2011;Jenkins et al, 2021), pragmatic considerations (Lewis & Frank, 2018), and processes of comparing and contrasting exemplars (Wang & Trueswell, 2022). Though theoretical accounts of the underlying mechanisms differ, all accounts agree that learners' representations of a novel word's extension are robustly modulated by the training manipulation introduced by Xu and Tenenbaum.…”
Section: Introductionmentioning
confidence: 99%