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Abductive reasoning

About: Abductive reasoning is a research topic. Over the lifetime, 1917 publications have been published within this topic receiving 44645 citations. The topic is also known as: abduction & abductive inference.


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Book ChapterDOI
01 Jan 2022
20 May 2006
TL;DR: The useful characteristics of models for model-based reasoning are considered and the state of industrial adoption of model- based reasoning techniques is discussed, with particular reference to a previous study by Trave-Massuyes and Milne of industrial take-up of this technology.
Abstract: Model-based reasoning is a practical way of reasoning about real world systems based on the behaviour of the system being modelled. This paper considers the useful characteristics of models for model-based reasoning, discusses the state of industrial adoption of model-based reasoning techniques, with particular reference to a previous study by Trave-Massuyes and Milne of industrial take-up of this technology. Finally, the paper considers the prospects for model-based reasoning over the next twenty years.
Book ChapterDOI
01 Jan 2006
TL;DR: This chapter presents the abduction by plausibility and relevance in a connectionist approach on the fault diagnosis of artefacts often met in industry that execute various functions involving conductive flows of matter and energy, i.e., multifunctional conductive flow systems (MCFSs).
Abstract: This chapter focuses on the fault diagnosis of artefacts often met in industry, but not only, that execute various functions involving conductive flows of matter and energy, i.e., multifunctional conductive flow systems (MCFSs). The proposed MCFS abstraction is close to the human diagnostician way of conceiving entities and relations on physical, functional and behavioural structures. Diagnosis reasoning, performed by human diagnosticians, is intrinsically abductive reasoning. This chapter presents the abduction by plausibility and relevance in a connectionist approach. The case study on a hydraulic installation of a rolling mill plant gives examples on the knowledge elicitation process and on the diagnostic expert system building and running.
Book ChapterDOI
Floris Bex1
01 Jan 2011
TL;DR: The chapter discusses the types of reasoning that play an important role in the process of proof, reasoning with evidence and commonsense knowledge in order to establish the facts of the case.
Abstract: The process of proof, reasoning with evidence and commonsense knowledge in order to establish the facts of the case. Some general concepts that are important in this process are clarified and some general subjects (e.g. types of evidence) are discussed in detail. The chapter also discusses the types of reasoning that play an important role in the process (e.g. abductive reasoning, causal reasoning, defeasible reasoning).
Journal ArticleDOI
05 Nov 2019
TL;DR: In this paper, a semiotic analysis of the Sign of the Four is presented, where the semiotic actor represents a private detective, who adopts the abductive method to clarify the different cases.
Abstract: This essay presents a semiotic look at scientific discourse. For its interpretation, an analysis was made of the discursive enunciation of Sherlock Holmes' fictional series "The Sign of the Four", in which the semiotic actor represents a private detective, who adopts the abductive method to clarify the different cases. The film director encourages the viewer to enter a possible world with elements of drama and suspense, in order to keep his attention throughout the film. The investigation finds its support in the works of the philosopher and logic Charles Sanders Peirce (1893-1914), most of whom used abductive reasoning as a method for the search for truth through well-executed conjectures. The results obtained show that the semiotic object used for its analysis, from the Peircean notion, is aimed at establishing a binding semiosis between detective cases and the diagnoses of a doctor, and that the Scottish writer Arthur Conan Doyle (1859-1930) left for posterity a hero prefigured in the fictitious characters of Sherlock Holmes and Dr. John H. Watson.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202356
2022103
202156
202059
201956
201867