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Nelson Goodman [147]Noah D. Goodman [22]Nicolas D. Goodman [21]N. Goodman [11]
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  1. Nelson Goodman, Goodman.
    The visual system is persistent, inventive, and sometimes rather perverse in building a world according to its own lights; the supplementation is deft, flexible, and often elaborate. [JL: Our eyes/consciousness could “fill in” things that are not there; they can also delete things that are there].
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  2. Nelson Goodman (forthcoming). Introduction: Aims and Claims. Journal of Aesthetic Education.
     
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  3. Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman (forthcoming). Bootstrapping in a Language of Thought: A Formal Model of Conceptual Change in Number Word Learning. Cognition.
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  4. Leon Bergen & Noah D. Goodman (2015). The Strategic Use of Noise in Pragmatic Reasoning. Topics in Cognitive Science 7 (1).
    We combine two recent probabilistic approaches to natural language understanding, exploring the formal pragmatics of communication on a noisy channel. We first extend a model of rational communication between a speaker and listener, to allow for the possibility that messages are corrupted by noise. In this model, common knowledge of a noisy channel leads to the use and correct understanding of sentence fragments. A further extension of the model, which allows the speaker to intentionally reduce the noise rate on a (...)
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  5. Thomas L. Griffiths, Falk Lieder & Noah D. Goodman (2015). Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic. Topics in Cognitive Science 7 (1).
    Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the (...)
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  6. Daniel Lassiter & Noah D. Goodman (2015). How Many Kinds of Reasoning? Inference, Probability, and Natural Language Semantics. Cognition 136:123-134.
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  7. Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum (2014). One and Done? Optimal Decisions From Very Few Samples. Cognitive Science 38 (4):599-637.
    In many learning or inference tasks human behavior approximates that of a Bayesian ideal observer, suggesting that, at some level, cognition can be described as Bayesian inference. However, a number of findings have highlighted an intriguing mismatch between human behavior and standard assumptions about optimality: People often appear to make decisions based on just one or a few samples from the appropriate posterior probability distribution, rather than using the full distribution. Although sampling-based approximations are a common way to implement Bayesian (...)
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  8. Frederic B. Fitch, J. B. Rosser, A. R. Turquette, R. M. Martin, Nelson Goodman, Soren Hallden & Paul Bernays (2013). The Journal of Symbolic Logic Publishes Original Scholarly Work in Symbolic Logic. Founded in 1936, It has Become the Leading Research Journal in the Field. The Journal Aims to Represent Logic Broadly, Including its Connections with Mathematics and Philosophy as Well as Newer Aspects Related to Computer Science and Linguistics. [REVIEW] Journal of Symbolic Logic 106 (107).
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  9. Noah D. Goodman & Andreas Stuhlmüller (2013). Knowledge and Implicature: Modeling Language Understanding as Social Cognition. Topics in Cognitive Science 5 (1):173-184.
    Is language understanding a special case of social cognition? To help evaluate this view, we can formalize it as the rational speech-act theory: Listeners assume that speakers choose their utterances approximately optimally, and listeners interpret an utterance by using Bayesian inference to “invert” this model of the speaker. We apply this framework to model scalar implicature (“some” implies “not all,” and “N” implies “not more than N”). This model predicts an interaction between the speaker's knowledge state and the listener's interpretation. (...)
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  10. Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman (2012). Bootstrapping in a Language of Thought: A Formal Model of Numerical Concept Learning. Cognition 123 (2):199-217.
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  11. Gregory Scontras, Peter Graff & Noah D. Goodman (2012). Comparing Pluralities. Cognition 123 (1):190-197.
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  12. Elizabeth Bonawitz, Patrick Shafto, Hyowon Gweon, Noah D. Goodman, Elizabeth Spelke & Laura Schulz (2011). The Double-Edged Sword of Pedagogy: Instruction Limits Spontaneous Exploration and Discovery. Cognition 120 (3):322-330.
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  13. Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum (2011). The Imaginary Fundamentalists: The Unshocking Truth About Bayesian Cognitive Science. Behavioral and Brain Sciences 34 (4):194-196.
    If Bayesian Fundamentalism existed, Jones & Love's (J&L's) arguments would provide a necessary corrective. But it does not. Bayesian cognitive science is deeply concerned with characterizing algorithms and representations, and, ultimately, implementations in neural circuits; it pays close attention to environmental structure and the constraints of behavioral data, when available; and it rigorously compares multiple models, both within and across papers. J&L's recommendation of Bayesian Enlightenment corresponds to past, present, and, we hope, future practice in Bayesian cognitive science.
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  14. Claire Cook, Noah D. Goodman & Laura E. Schulz (2011). Where Science Starts: Spontaneous Experiments in Preschoolers' Exploratory Play. Cognition 120 (3):341-349.
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  15. Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum & James F. Woodward (2010). The Structure and Dynamics of Scientific Theories: A Hierarchical Bayesian Perspective. Philosophy of Science 77 (2):172-200.
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  16. Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
    Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the (...)
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  17. Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman (2010). Beyond Boolean Logic: Exploring Representation Languages for Learning Complex Concepts. In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. 859--864.
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  18. Denis M. Walsh, Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum, James F. Woodward, Hannes Leitgeb, Richard Pettigrew, Brad Weslake & John Kulvicki (2010). 1. Not a Sure Thing: Fitness, Probability, and Causation Not a Sure Thing: Fitness, Probability, and Causation (Pp. 147-171). [REVIEW] Philosophy of Science 77 (2).
     
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  19. Michael C. Frank, Noah D. Goodman, Peter Lai & Joshua B. Tenenbaum (2009). Informative Communication in Word Production and Word Learning. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  20. Micah B. Goldwater, Noah D. Goodman, Stephen Wechsler & Gregory L. Murphy (2009). Relational and Role-Governed Categories: Views From Psychology, Computational Modeling, and Linguistics. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  21. Noah D. Goodman, Chris L. Baker & Joshua B. Tenenbaum (2009). Cause and Intent: Social Reasoning in Causal Learning. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. 2759--2764.
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  22. Lauren A. Schmidt, Noah D. Goodman, David Barner & Joshua B. Tenenbaum (2009). How Tall is Tall? Compositionality, Statistics, and Gradable Adjectives. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  23. Nelson Goodman (2008). In Verteidigung des Irrealismus. Deutsche Zeitschrift für Philosophie 56 (6):989-989.
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  24. Nelson Goodman (2008). Vorrang der Materie vor dem Geist. Deutsche Zeitschrift für Philosophie 56 (6):991-991.
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  25. Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths (2008). A Rational Analysis of Rule‐Based Concept Learning. Cognitive Science 32 (1):108-154.
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  26. Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths & Feldman & Jacob (2008). Compositionality in Rational Analysis: Grammar-Based Induction for Concept Learning. In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oup Oxford.
     
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  27. Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths & Jacob Feldman (2008). Compositionality in Rational Analysis: Grammar-Based Induction for Concept Learning. In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oup Oxford.
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  28. Laura E. Schulz, Noah D. Goodman, Joshua B. Tenenbaum & Adrianna C. Jenkins (2008). Going Beyond the Evidence: Abstract Laws and Preschoolers' Responses to Anomalous Data. Cognition 109 (2):211-223.
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  29. Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2007). Learning Causal Schemata. In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. 389--394.
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  30. Gina A. Livermore, Nanette Goodman, Fred Hooven & Lobat Hashemi (2007). Premium Increases in State Health Insurance Programs: Lessons From a Case Study of the Massachusetts Medicaid Buy-in Program. Inquiry 44 (4):428-442.
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  31. Nelson Goodman (2006). Linguagens da arte símbolos. Critica.
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  32. Nelson Goodman (2006). Quando há arte? Critica.
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  33. Nelson Goodman (2005). Arte e autenticidade. Critica.
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  34. Nelson Goodman (2005). La Structure de L’Apparence. Vrin.
    Dans La structure de l’apparence, Nelson Goodman met en place les principaux thèmes philosophiques qui feront de lui un penseur singulier : constructivisme, nominalisme, phénoménalisme et pluralisme s’entrecroisent ici dans l’élaboration d’une pensée aussi subtile que complexe. Ce livre propose une première traduction d’un texte fondateur de la philosophie analytique.
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  35. Nelson Goodman, Jakob Steinbrenner, Oliver R. Scholz & Gerhard Ernst (eds.) (2005). Symbole, Systeme, Welten: Studien Zur Philosophie Nelson Goodmans. Synchron.
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  36. Nelson Goodman (2003). ¿ Cuándo es Arte? A Parte Rei: Revista de Filosofía 26:2.
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  37. Nelson Goodman (2003). Zmiana perspektywy. Principia 34.
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  38. Nelson Goodman & Catherine Elgin (2003). Interpretazione e identità: l’opera sopravvive al mondo? Studi di Estetica 27.
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  39. Neville W. Goodman (2002). Clinical Governance: Vision or Mirage? Journal of Evaluation in Clinical Practice 8 (2):243-249.
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  40. Derrida Wittgenstein, Nelson Goodman & Richard Rorty (2002). Knowledge and Cognitive Practices in Eco's Labyrinths of Intertextuality. In Jorge J. E. Gracia, Carolyn Korsmeyer & Rodolphe Gasché (eds.), Literary Philosophers?: Borges, Calvino, Eco. Routledge. 165.
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  41. Nelson Goodman (2000). The New Riddle of Induction. In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. Oup Oxford.
     
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  42. N. Goodman (1999). Not Empirical, but Observational or Experimental. Journal of Medical Ethics 25 (6):549-549.
  43. Nelson Goodman (1997). De la mente y otras materias Harvard University Press, 1984. Visor, 1995. Enrahonar 27:193-197.
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  44. Nelson Goodman (1997). Some Reflections on My Philosophies. Philosophia Scientiae 2 (1):15-20.
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  45. Nelson Goodman (1996). Conditional Plurality of Pluralisms'. Dialectica 3:69-80.
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  46. N. W. Goodman (1994). Lifestyles and Allocation of Health Care Resources. Journal of Medical Ethics 20 (4):271-271.
  47. Nelson Goodman & Catherine Elgin (1994). Esthétique et connaissance. Revue de Métaphysique et de Morale 99 (1):137-138.
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  48. T. Kulka & N. Goodman (1994). How Metaphor Works its Wonders. Filosoficky Casopis 42 (3):403-420.
     
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  49. N. Goodman (1993). Status and System+ From the 1st Part of the Authors Doctoral Thesis A'study of Qualities'. Revue Internationale de Philosophie 47 (185):99-139.
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  50. N. Goodman (1993). Status and System. Revue Internationale de Philosophie 46 (185):99-139.
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