Induction

Induction: process of deriving general principles from aggregated particular observations. An argument whose premise(s) are supposed to make its conclusion more or less acceptable or probable. Source: ‘What is Good? What is Bad? The Value of All Values across Time, Place and Theories’ by John McMurtry, Philosophy and World Problems, Volume I-III, UNESCO in partnership with Encyclopedia of Life… Read More

Induction by elimination

Induction by elimination: A method of discovering true scientific hypotheses (including laws and theories) based on the elimination of false hypotheses from a set of relevant alternatives. Source: ‘What is Good? What is Bad? The Value of All Values across Time, Place and Theories’ by John McMurtry, Philosophy and World Problems, Volume I-III, UNESCO in partnership with Encyclopedia of… Read More

Induction by enumeration

Induction by enumeration: A method of scientific discovery of universal generalizations (e.g., All S are P) based on the enumeration of particular claims (e.g., Some observed S are P). Source: ‘What is Good? What is Bad? The Value of All Values across Time, Place and Theories’ by John McMurtry, Philosophy and World Problems, Volume I-III, UNESCO in partnership… Read More

Induction/Inductive Logic

Induction/Inductive Logic: Typically contrasted with deduction, inductive reasoning or induction is reasoning in which the conclusion follows from the premises, often with some assignable degree of probability or likelihood. One type of inductive inference is a generalization from the observed properties of a subset of a group to the conclusion that those properties will be found,… Read More

Inductive statistical explanation

Inductive statistical explanation: Type of covering law model which assumes the argument form required is an inductively valid one. Source: ‘What is Good? What is Bad? The Value of All Values across Time, Place and Theories’ by John McMurtry, Philosophy and World Problems, Volume I-III, UNESCO in partnership with Encyclopedia of Life Support Systems: Oxford, 2004-11.