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The syllogisms

When a model is built under the principles of reasoning called “ultra-optimization,” a result may be the discovery of ultra-optimized conditions on the model’s space of independent variables; each such condition is called a “pattern.” Discovery of patterns reduces, from the maximum, the missing information in the inference that is made by the model to the outcome of a statistical event, given the condition.

In the event that the missing information is reduced to nil, then the patterns are paired with the outcomes. Each pattern-outcome pair is then associated with a certain kind of model; each inference made by this model is of the form.

                                                             If the pattern P  is true then the outcome O is true

                                                             P  is true

                                                             Therefore, O is true

This inference is a type of “syllogism.”

The set of events is empty for which P  is true and O is false. From this fact follows the existence of a second kind of model; each inference made by this model is of the form:

                                                               If the pattern P  is true and then the outcome O  is true

                                                               O  is false

                                                               Therefore, P  is false.

This inference is a second type of syllogism. The first type of syllogism is called modus ponens while the second is called modus tollens. According to Jaynes*, deductive reasoning amounts to the repeated application of the two types of syllogism.

The logic underlying construction of the syllogisms is the probabilistic logic. In this construction, reduction of the missing information to nil constrains the values of the probabilities of states to 0 and 1, thus reducing the probabilistic to the so-called “deductive” logic. In the domain of validity of the deductive logic, ultra-optimization is equivalent to the principle of reasoning which states that an inference is correct if it conforms to a syllogism. From the perspective of the probabilistic logic, this inference is correct because it is ultra-optimized.

By itself, the deductive logic contains no explanation for the origins of the languages on which the two syllogisms operate. Under Christensen’s theory of knowledge, the words, phrases and sentences of a language are the names which the speakers of this language ascribe to patterns discovered by an approximation to ultra-optimization. Under Christensen’s theory, languages evolve from the continuing discovery of new patterns. It is in the discovery of these patterns that knowledge is created. Communication is the mechanism by which we convey knowledge. Pattern discovery is the mechanism by which we create knowledge.

 

*Jaynes, E.T., Probability Theory: The Logic of Science, West Nyack, NY, USA: Cambridge University Press, 2003. p. 4.

                                                                                                                                                                                                     

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