Philosophy of science concept emphasizing the need for alternative hypotheses
In philosophy of science, strong inference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single hypothesis to avoid confirmation bias.
The term "strong inference" was coined by John R. Platt,[1] a biophysicist at the University of Chicago. Platt notes that some fields, such as molecular biology and high-energy physics, seem to adhere strongly to strong inference, with very beneficial results for the rate of progress in those fields.
In philosophy of science, stronginference is a model of scientific inquiry that emphasizes the need for alternative hypotheses, rather than a single hypothesis...
Inferences are steps in reasoning, moving from premises to logical consequences; etymologically, the word infer means to "carry forward". Inference is...
to allege a "stronginference" of intentional fraud, the inference must be "cogent" and "at least as compelling as any opposing inference of nonfraudulent...
Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to update the probability...
formal and informal logic. Formal logic is the study of deductively valid inferences or logical truths. It examines how conclusions follow from premises due...
Type inference, sometimes called type reconstruction,: 320 refers to the automatic detection of the type of an expression in a formal language. These...
In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge...
assumptions about the progress of science through history. 1964 – Stronginference—a model of scientific inquiry that emphasizes the need for alternative...
confirmation bias that results from entertaining a single hypothesis, stronginference emphasizes the need for entertaining multiple alternative hypotheses...
basis for arguments and inferences made using statistics. This includes the justification for the methods of statistical inference, estimation and hypothesis...
the premises make it more likely that the conclusion is true and stronginferences make it very likely. Some uncertainty remains because the conclusion...
girder was removed during the passage of the locomotive, there is a stronginference that some part of the heavy structure of the locomotive would have...
techniques for approximating intractable integrals arising in Bayesian inference and machine learning. They are typically used in complex statistical models...
extant birds makes this a fairly stronginference, yet not as strong as a level 1 inference. Level 3 — The inference of a character that leaves a bony...
of a weakly informative prior is for regularization, that is, to keep inferences in a reasonable range. An uninformative, flat, or diffuse prior expresses...
the requirement that a plaintiff must plead facts giving rise to a "stronginference" of scienter. The meaning of scienter under the 1995 law has been very...
Deductive reasoning is the process of drawing valid inferences. An inference is valid if its conclusion follows logically from its premises, meaning that...
Bayesian inference refers to statistical inference where uncertainty in inferences is quantified using probability. In classical frequentist inference, model...
June 2015. Retrieved 10 August 2018. Platt, J. R. (16 October 1964). "StrongInference: Certain systematic methods of scientific thinking may produce much...
Harman defends a strong version of liberal inductivism according to which enumerative induction is just a disguised form of inference to the best explanation"...
Scots law. In English tort law, the effect of res ipsa loquitur is a stronginference in favour of the claimant that negligence has taken place. It does...
the scientific method, was an inspiration for the approach called stronginference, and was reprinted in 1965. Peirce held that, as a matter of research...
a probability is assigned to a hypothesis, whereas under frequentist inference, a hypothesis is typically tested without being assigned a probability...
Loaded language (also known as loaded terms, strong emotive language, high-inference language, language-persuasive techniques, and rhetorical language)...
of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences...
Common Lisp (CMUCL) and related) use these declarations together with type inference to enable various optimizations and limited forms of compile time type...
Global Information