Brief_Outline_of_the_Mathematical_Methodology_of_CMS

CMS is a monistic verificationist common-sense method for determining probabilities, truths and decisions. 

Given a single theory and some evidence, CMS gives a way to determine how many times that theory is positively tested by that evidence. This is an absolute number of non-conclusive verifications.

The probability of a theory is determined from all the available evidence, and only from it, by means of the absolute non-conclusive verifications of the contemplated theories, just by relativizing the absolute non-conclusive verifications of the theory to the total ones of all the contemplated theories. As the verifications are established upon the evidence, it follows that skeptical hypotheses do not receive verifications and therefore nor probability and nor truth (in the sense of receiving anything greater than 0).

The degree of truth of a theory takes place when the all the relevant theories and all the relevant evidence are contemplated in the assessment of the probability; when then this happens, the probability of the theory becomes the degree of truth of a theory. 

Establishing what the evidence is, what the theories are, and what all possibilities of both of those are, is not a problem internal to CMS, but it is a pragmatic problem in general, and CMS can apply also to this problem (although just deferring the pragmatic element).  

Given evidence and theories as input, CMS returns probability as output; given also all possible evidence and all possible theories as input, CMS returns truth as output. However, if the inputs are incorrect, then so are the outputs.

Finally, the decisions are determined on the basis of the subjective happiness and its chance (identified with the degree of truth), over all future time. 

CMS offers a method for verifying philosophical and scientific theories alike. CMS is therefore a basis to naturalism and to the current scienctific theories. CMS extends common sense by means of few common-sense principles andowning a mathematical precision.  It could be split into 3 main theories, and possibly also introduced by::

1. Theory of EDC Epistemic Degree of Certainty:

     EDC 1-page-summary

     EDC 17-page-summary

     EDC 26-page-summary (a.k.a. Explaining a Simple Physical World)

      The last chapter of my PhD dissertation is partly about this

      Epistemic Vs Metaphysical Interpretation_of_Truth_Statistical Survey

      PMPO 8-page-summary (a.k.a. Pleasure Theory)

      Reformulation of the Expected-Utility Rule

Two Anti-Putnam Putnam-Style Parables

Hospitals without Doctors

The Handicapped Prisoner's Dilemma

Gambling Is Bad

Sixteen Arguments against Bayesianism

My dissertation in theoretical physics examined the development of the mathematical notion of stability, mainly through Newton, Laplace, Poincaré, Liapunov and Kolmogorov.  In the appendix (soon into English) I proposed a possible deterministic model for the Hydrogen atom that could lead to the same radial probability density theorized by Quantum Mechanics (same within the present-day experimental error): a philosophically interesting example of underdetermination of theory by evidence.

These are the books I read when I was little.

And here are some quotations.