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  1.  98
    General Cognitive Principles for Learning Structure in Time and Space.Michael H. Goldstein, Heidi R. Waterfall, Arnon Lotem, Joseph Y. Halpern, Jennifer A. Schwade, Luca Onnis & Shimon Edelman - 2010 - Trends in Cognitive Sciences 14 (6):249-258.
  2. Learning a Generative Probabilistic Grammar of Experience: A Process‐Level Model of Language Acquisition.Oren Kolodny, Arnon Lotem & Shimon Edelman - 2014 - Cognitive Science 38 (4):227-267.
    We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this (...)
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  3.  10
    The Bottleneck May Be the Solution, Not the Problem.Arnon Lotem, Oren Kolodny, Joseph Y. Halpern, Luca Onnis & Shimon Edelman - 2016 - Behavioral and Brain Sciences 39.
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  4.  1
    Learning a Generative Probabilistic Grammar of Experience: A Process-Level Model of Language Acquisition.Oren Kolodny, Arnon Lotem & Shimon Edelman - 2015 - Cognitive Science 39 (2):227-267.
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  5. Differential Application of Cultural Practices at the Family and Individual Levels May Alter Heritability Estimates.Oren Kolodny, Marcus W. Feldman, Arnon Lotem & Yoav Ram - 2022 - Behavioral and Brain Sciences 45.
    Uchiyama et al. emphasize that culture evolves directionally and differentially as a function of selective pressures in different populations. Extending these principles to the level of families, lineages, and individuals exposes additional challenges to estimating heritability. Cultural traits expressed differentially as a function of the genetics whose influence they mask or unmask render inseparable the influences of culture and genetics.
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  6.  22
    Reconciling Genetic Evolution and the Associative Learning Account of Mirror Neurons Through Data-Acquisition Mechanisms.Arnon Lotem & Oren Kolodny - 2014 - Behavioral and Brain Sciences 37 (2):210-211.
  7.  35
    Can Reinforcement Learning Explain Variation in Early Infant Crying?Arnon Lotem & David W. Winkler - 2004 - Behavioral and Brain Sciences 27 (4):468-468.
    We welcome Soltis' use of evolutionary signaling theory, but question his interpretations of colic as a signal of vigor and his explanation of abnormal high-pitched crying as a signal of poor infant quality. Instead, we suggest that these phenomena may be suboptimal by-products of a generally adaptive learning process by which infants adjust their crying levels in relation to parental responsiveness.
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  8.  14
    Risk Attitude in Small Timesaving Decisions.Nira Munichor, Ido Erev & Arnon Lotem - 2006 - Journal of Experimental Psychology: Applied 12 (3):129-141.
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  9.  5
    Beyond Uncertainty: A Broader Scope for “Incentive Hope” Mechanisms and its Implications.Omer Linkovski, Noam Weinbach, Shimon Edelman, Marcus W. Feldman, Arnon Lotem & Oren Kolodny - 2019 - Behavioral and Brain Sciences 42.
    We propose that food-related uncertainty is but one of multiple cues that predicts harsh conditions and may activate “incentive hope.” An evolutionarily adaptive response to these would have been to shift to a behavioral-metabolic phenotype geared toward facing hardship. In modernity, this phenotype may lead to pathologies such as obesity and hoarding. Our perspective suggests a novel therapeutic approach.
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