Results 11 to 20 of about 61,454 (266)
Translation by abduction [PDF]
Proceedings of the 13th conference on Computational linguistics -, 1990 Abstract : Many existing approaches to machine translation take for granted that the information presented in the output is found somewhere in the input, and, moreover, that such information should be expressed at a single representational level, for example, in terms of the parse trees or of "semantic" assertions.
Jerry R. Hobbs, Megumi Kameyama
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Interpretation as abduction [PDF]
Proceedings of the 26th annual meeting on Association for Computational Linguistics -, 1988 An approach to abductive inference developed in the TACITUS project has resulted in a dramatic simplification of how the problem of interpreting texts is conceptualized. Its use in solving the local pragmatics problems of reference, compound nominals, syntactic ambiguity, and metonymy is described and illustrated.
Hobbs, Jerry R +3 more
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American Economic Review, 2017 Abduction is the process of generating and choosing models, hypotheses, and data analyzed in response to surprising findings. All good empirical economists abduct. Explanations usually evolve as studies evolve. The abductive approach challenges economists to step outside the framework of received notions about the “identification problem” that rigidly
James J, Heckman, Burton, Singer
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CoRR, 2000 Abduction is one of the most important forms of reasoning; it has been successfully applied to several practical problems such as diagnosis. In this paper we investigate whether the computational complexity of abduction can be reduced by an appropriate use of preprocessing. This is motivated by the fact that part of the data of the problem (namely, the
LIBERATORE, Paolo, SCHAERF, Marco
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Evidential Statistics in Model and Theory Development
Frontiers in Ecology and Evolution, 2019 Evidential statistics is an important advance in model and theory testing, and scientific reasoning in general, combining and extending key insights from other philosophies of statistics.
Samuel M. Scheiner, Robert D. Holt
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An epistemic and dynamic approach to abductive reasoning: Abductive problem and abductive solution
Journal of Applied Logic, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernando R. Velázquez-Quesada +2 more
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Sociedade e Estado, 2005 Une œuvre d'art ne symbolise jamais du social ex nihilo, elle re-symbolise. Si l'on définit le travail de l'œuvre comme une re-symbolisation du donné symbolique, la première étape sociologique face à une œuvre consiste à construire, à partir de matériaux
Florent Gaudez
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CoRR, 2013 Abductive reasoning (or Abduction, for short) is among the most fundamental AI reasoning methods, with a broad range of applications, including fault diagnosis, belief revision, and automated planning. Unfortunately, Abduction is of high computational complexity; even propositional Abduction is Σ_2^P-complete and thus harder than NP and coNP.
Andreas Pfandler +2 more
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Philosophies, 2022 Locked and unlocked strategies are illustrated in this article as concepts that deal with important cognitive aspects of deep learning systems. They indicate different inference routines that refer to poor (locked) to rich (unlocked) cases of creative ...
Lorenzo Magnani
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Sufficient Causes: On Oxygen, Matches, and Fires
Journal of Causal Inference, 2019 We demonstrate how counterfactuals can be used to compute the probability that one event was/is a sufficient cause of another, and how counterfactuals emerge organically from basic scientific knowledge, rather than manipulative experiments.
Pearl Judea
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