a posteriori

(redirected from Abductive reasoning)
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Antonyms for a posteriori

involving reasoning from facts or particulars to general principles or from effects to causes

requiring evidence for validation or support

Related Words

derived from observed facts


Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
References in periodicals archive ?
Abductive reasoning heavily relies on the valuer's judgment, education, and experience.
Abductive reasoning is a rigorous process of speculation based on bringing literature and theory to bear on empirical findings.
Because she has trouble remembering, she has developed the skill of abductive reasoning: like a detective, she makes quick observations, pieces together the clues or fragments of ideas, and then takes her best guess.
The practice of abductive reasoning requires the integration of leading-edge expert perspectives; however, there exists an anti-intellectual strain that encourages strategists and military professionals to limit their reading to a certain canon.
The book leads with a gracious dedication to his family and is composed of seven chapters: (1) "Science and Religion: Some Preliminaries," (2) "Fine-Tuning and Cosmology," (3) "Relativity, Time, and Free Will," (4) "Divine Action and the Laws of Nature," (5) "Naturalisms and Design," (6) "Reduction and Emergence," and (7) "The Philosophy of Science Tool Chest." Within these chapters, Koperski addresses such topics as abductive reasoning, the strong and weak anthropic principles, atheism as an assumed fundamental precept of science, Boltzmann brains, determinism and free will, arguments and evidence regarding divine intervention, emergence and reductionism, evil, evolution, creationism and intelligent design, fine-tuning of the universe, and multiverse theories.
Aliseda, A., 2006, Abductive Reasoning. Logical Investigations into Discovery and Explanation, Springer, Dordrecht.
Logic provides a foundation for all branches of science through deductive, inductive, and abductive reasoning. American philosopher Charles Sanders Peirce proposed a model by which these three types of reasoning work together, starting with the goal of abduction being to find patterns in data and suggest plausible hypotheses; moving next to deduction which refines the hypothesis based upon realistic premises; and proceeding to induction to provide empirical substantiation.
* It makes use of abductive reasoning, which is fundamentally different from induction and deduction.
Peirce in fact describes abductive reasoning as a sort of reasoning that is not only more everyday, but also more creative than the usual inductive or deductive reasoning associated with the sciences (Walton 613; Davis 22-25).
The former situates big data as an ever-shifting target that has less to do with size and more with the ability to rapidly combine, aggregate, and analyze, while the latter situates big data research as a particular view of scientific praxis that privileges abductive reasoning and model building.
GCT is focused on helping students learn not only genetics domain materials, but also the complex abductive reasoning skills needed to make inferences within this domain.
Complementary to the current mainstream uses of data mining for learning environments, we apply data mining in the OME for abductive reasoning (Ross, 2010) with transparent explanatory hypotheses.