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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 59 1 FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations ... Mei, Lingjie; Mao, Jiayuan; Wang, Ziqi. - : arXiv, 2022 BASE Show details 2 Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Zhu, Yixin; Gao, Tao; Fan, Lifeng... In: Elsevier (2021) BASE Show details 3 The Child as Hacker Rule, Joshua S; Tenenbaum, Joshua B; Piantadosi, Steven T In: PMC (2021) BASE Show details 4 A Morphable Face Albedo Model Smith, William A. P.; Seck, Alassne; Dee, Hannah... In: arXiv (2021) BASE Show details 5 Plans or Outcomes: How Do We Attribute Intelligence to Others? Kryven, Marta; Ullman, Tomer D; Cowan, William... In: PsyArXiv (2021) BASE Show details 6 Intuitive Theories as Grammars for Causal Inference Tenenbaum, Joshua B.; Griffiths, Thomas L.; Niyogi, Sourabh. - : Oxford University Press, 2019 In: MIT web domain (2019) Abstract: © 2007 by Alison Gopnik and Laura Schulz. All rights reserved. This chapter presents a framework for understanding the structure, function, and acquisition of causal theories from a rational computational perspective. Using a "reverse engineering" approach, it considers the computational problems that intuitive theories help to solve, focusing on their role in learning and reasoning about causal systems, and then using Bayesian statistics to describe the ideal solutions to these problems. The resulting framework highlights an analogy between causal theories and linguistic grammars: just as grammars generate sentences and guide inferences about their interpretation, causal theories specify a generative process for events, and guide causal inference. URL: https://hdl.handle.net/1721.1/138043 BASE Hide details 7 The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision Mao, Jiayuan; Gan, Chuang; Kohli, Pushmeet... In: arXiv (2019) BASE Show details 8 A critical period for second language acquisition: Evidence from 2/3 million English speakers Hartshorne, Joshua; Tenenbaum, Joshua B In: PMC (2019) BASE Show details 9 Word learning and the acquisition of syntactic--semantic overhypotheses ... Gauthier, Jon; Levy, Roger; Tenenbaum, Joshua B.. - : arXiv, 2018 BASE Show details 10 A critical period for second language acquisition: Evidence from 2/3 million English speakers Hartshorne, Joshua K.; Tenenbaum, Joshua B.; Pinker, Steven. - 2018 BASE Show details 11 Intuitive Theories Gerstenberg, Tobias; Tenenbaum, Joshua B. In: The Oxford handbook of causal reasoning (2017), S. 515-547 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 12 Surprise! Infants consider possible bases of generalization for a single input example Gerken, LouAnn; Dawson, Colin; Chatila, Razanne... In: PMC (2017) BASE Show details 13 Learning Structured Preferences Bergen, Leon; Evans, Owain Rhys; Tenenbaum, Joshua B In: Other univ. web domain (2017) BASE Show details 14 Structure and flexibility in Bayesian models of cognition Austerweil, Joseph L.; Gershman, Samuel J.; Tenenbaum, Joshua B.... In: The Oxford handbook of computational and mathematical psychology (Oxford, 2015), p. 187-208 MPI für Psycholinguistik Show details 15 Concepts in a probabilistic language of thought Goodman, Noah D.; Tenenbaum, Joshua B.; Gerstenberg, Tobias In: The conceptual mind (Cambridge, MA, 2015), p. 623-654 MPI für Psycholinguistik Show details 16 The Causes and Consequences Explicit in Verbs Hartshorne, Joshua K.; O’Donnell, Timothy J.; Tenenbaum, Joshua B.. - 2015 BASE Show details 17 Corrigendum to “Three ideal observer models for rule learning in simple languages” [Cognition 120 (3) (2011) 360–371] Frank, Michael C.; Tenenbaum, Joshua B. In: Cognition. - Amsterdam [u.a] : Elsevier 132 (2014) 3, 501 OLC Linguistik Show details 18 Inferring the intentional states of autonomous virtual agents Pantelis, Peter C.; Baker, Chris L.; Cholewiak, Steven A.... In: Cognition. - Amsterdam [u.a] : Elsevier 130 (2014) 3, 360-379 OLC Linguistik Show details 19 The causes and consequences explicit in verbs Tenenbaum, Joshua B.; Hartshorne, Joshua; O'Donnell, Timothy John In: Hartshorne (2014) BASE Show details 20 Social and Discourse Contributions to the Determination of Reference in Cross-Situational Word Learning Frank, Michael C.; Tenenbaum, Joshua B.; Fernald, Anne In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 9 (2013) 1, 1-24 OLC Linguistik Show details Page: 1 2 3

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