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Analogical modeling (AM) is a formal theory of exemplar based analogical reasoning, proposed by Royal Skousen, professor of Linguistics and English language at Brigham Young University in Provo, Utah. It is applicable to language modeling and other categorization tasks.
Analogical reasoning is particularly useful in scientific discovery and problem-solving tasks, as it can help generate hypotheses, create new theories, and develop innovative solutions. [31] However, it can also lead to errors if the similarities between domains are too superficial or if the analogy is based on false assumptions.
Analogy is a comparison or correspondence between two things (or two groups of things) because of a third element that they are considered to share. [1]In logic, it is an inference or an argument from one particular to another particular, as opposed to deduction, induction, and abduction.
A simple type of analogy is one that is based on shared properties; [1] [2] and analogizing is the process of representing information about a particular subject (the analogue or source system) by another particular subject (the target system), [3] in order "to illustrate some particular aspect (or clarify selected attributes) of the primary domain".
Also important is the ability to learn and to remember the results of the mental activity. The creativity displayed in finding analogies should be applicable at ever higher levels: making analogies between analogies (expression inspired by the title of a book by Stanislaw Ulam ), analogies between these second-order analogies, and so on.
A false analogy is an informal fallacy, or a faulty instance, of the argument from analogy. An argument from analogy is weakened if it is inadequate in any of the above respects . The term "false analogy" comes from the philosopher John Stuart Mill , who was one of the first individuals to examine analogical reasoning in detail. [ 2 ]
She is a leading researcher in the study of analogical reasoning. She developed the structure-mapping theory of analogy and similarity, [2] which has wide application. As her APA Distinguished Scientific Contribution Award [3] citation (2016) states: “For achievements in research and theory in cognitive psychology and cognitive development, especially for developing the structure-mapping ...
Logical reasoning is a form of thinking that is concerned with arriving at a conclusion in a rigorous way. [1] This happens in the form of inferences by transforming the information present in a set of premises to reach a conclusion.