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Baconian method AI simulator
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Baconian method AI simulator
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Baconian method
The Baconian method is the investigative method developed by Francis Bacon, one of the founders of modern science, and thus a first formulation[citation needed] of a modern scientific method. The method was put forward in Bacon's book Novum Organum (1620), or 'New Method', to replace the old methods put forward in Aristotle's Organon. It influenced the early modern rejection of medieval Aristotelianism.
Bacon's method is an example of the application of inductive reasoning. However, Bacon's method of induction is much more complex than the essential inductive process of making generalisations from observations. Bacon's method begins with description of the requirements for making the careful, systematic observations necessary to produce quality facts. He then proceeds to use induction, the ability to generalise from a set of facts to one or more axioms. However, he stresses the necessity of not generalising beyond what the facts truly demonstrate. The next step may be to gather additional data, or the researcher may use existing data and the new axioms to establish additional axioms. Specific types of facts can be particularly useful, such as negative instances, exceptional instances and data from experiments. The whole process is repeated in a stepwise fashion to build an increasingly complex base of knowledge, but one which is always supported by observed facts, or more generally speaking, empirical data.
He argues in the Novum Organum that our only hope for building true knowledge is through this careful method. Old knowledge-building methods were often not based in facts, but on broad, ill-proven deductions and metaphysical conjecture. Even when theories were based in fact, they were often broad generalisations and/or abstractions from few instances of casually gathered observations. Using Bacon's process, man could start fresh, setting aside old superstitions, over-generalisations, and traditional (often unproven) "facts". Researchers could slowly but accurately build an essential base of knowledge from the ground up. Describing then-existing knowledge, Bacon claims:
There is the same degree of licentiousness and error in forming axioms as [there is] in abstracting notions, and [also] in the first principles, which depend in common induction [versus Bacon's induction]; still more is this the case in axioms and inferior propositions derived from syllogisms.
While he advocated a very empirical, observational, reasoned method that did away with metaphysical conjecture, Bacon was a religious man, believed in God, and believed his work had a religious role. He contended, like other researchers at the time, that by doing this careful work man could begin to understand God's wonderful creation, to reclaim the knowledge that had been lost in Adam and Eve's "fall", and to make the most of his God-given talents.
There is a wider array of seminal works about the interaction of Puritanism and early science. Among others, Dorothy Stimson,[citation needed] Richard Foster Jones,[citation needed] and Robert Merton saw Puritanism as a major driver of the reforms initiated by Bacon and the development of science overall. Steven Matthews is cautious about the interaction with a single confession, as the English Reformation allowed a higher doctrinal diversity compared to the continent. However, Matthews is quite outspoken that "Bacon's entire understanding of what we call 'science,' and what he called 'natural philosophy,' was fashioned around the basic tenets of his belief system."
The method consists of procedures for isolating and further investigating the form nature, or cause, of a phenomenon, including the method of agreement, method of difference, and method of concomitant variation.
Bacon suggests that you draw up a list of all things in which the phenomenon you are trying to explain occurs, as well as a list of things in which it does not occur. Then you rank your lists according to the degree in which the phenomenon occurs in each one. Then you should be able to deduce what factors match the occurrence of the phenomenon in one list and don't occur in the other list, and also what factors change in accordance with the way the data had been ranked.
Baconian method
The Baconian method is the investigative method developed by Francis Bacon, one of the founders of modern science, and thus a first formulation[citation needed] of a modern scientific method. The method was put forward in Bacon's book Novum Organum (1620), or 'New Method', to replace the old methods put forward in Aristotle's Organon. It influenced the early modern rejection of medieval Aristotelianism.
Bacon's method is an example of the application of inductive reasoning. However, Bacon's method of induction is much more complex than the essential inductive process of making generalisations from observations. Bacon's method begins with description of the requirements for making the careful, systematic observations necessary to produce quality facts. He then proceeds to use induction, the ability to generalise from a set of facts to one or more axioms. However, he stresses the necessity of not generalising beyond what the facts truly demonstrate. The next step may be to gather additional data, or the researcher may use existing data and the new axioms to establish additional axioms. Specific types of facts can be particularly useful, such as negative instances, exceptional instances and data from experiments. The whole process is repeated in a stepwise fashion to build an increasingly complex base of knowledge, but one which is always supported by observed facts, or more generally speaking, empirical data.
He argues in the Novum Organum that our only hope for building true knowledge is through this careful method. Old knowledge-building methods were often not based in facts, but on broad, ill-proven deductions and metaphysical conjecture. Even when theories were based in fact, they were often broad generalisations and/or abstractions from few instances of casually gathered observations. Using Bacon's process, man could start fresh, setting aside old superstitions, over-generalisations, and traditional (often unproven) "facts". Researchers could slowly but accurately build an essential base of knowledge from the ground up. Describing then-existing knowledge, Bacon claims:
There is the same degree of licentiousness and error in forming axioms as [there is] in abstracting notions, and [also] in the first principles, which depend in common induction [versus Bacon's induction]; still more is this the case in axioms and inferior propositions derived from syllogisms.
While he advocated a very empirical, observational, reasoned method that did away with metaphysical conjecture, Bacon was a religious man, believed in God, and believed his work had a religious role. He contended, like other researchers at the time, that by doing this careful work man could begin to understand God's wonderful creation, to reclaim the knowledge that had been lost in Adam and Eve's "fall", and to make the most of his God-given talents.
There is a wider array of seminal works about the interaction of Puritanism and early science. Among others, Dorothy Stimson,[citation needed] Richard Foster Jones,[citation needed] and Robert Merton saw Puritanism as a major driver of the reforms initiated by Bacon and the development of science overall. Steven Matthews is cautious about the interaction with a single confession, as the English Reformation allowed a higher doctrinal diversity compared to the continent. However, Matthews is quite outspoken that "Bacon's entire understanding of what we call 'science,' and what he called 'natural philosophy,' was fashioned around the basic tenets of his belief system."
The method consists of procedures for isolating and further investigating the form nature, or cause, of a phenomenon, including the method of agreement, method of difference, and method of concomitant variation.
Bacon suggests that you draw up a list of all things in which the phenomenon you are trying to explain occurs, as well as a list of things in which it does not occur. Then you rank your lists according to the degree in which the phenomenon occurs in each one. Then you should be able to deduce what factors match the occurrence of the phenomenon in one list and don't occur in the other list, and also what factors change in accordance with the way the data had been ranked.
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