From Science to Language
Doc, let us here go down the "technical" route, and take, as a starting point, the list of definitions contained in your latest comment (Sunday 2:14 pm). Among these notions, let us first isolate the following sub-list : Mathematics, Observation, Modeling, Model Non-Uniqueness, Science and Model Selection. I have no difficulty with them if they are considered as an account of science stricto sensu, that is to say of a specific human activity practiced by trained people, working in laboratories and conducting experiments or creating theories.
Now, what happens when we add the three other notions you mention to this basic list ? Let us first only add Logic. Here, it seems that some difficulty appear, even if we stay within the bounds of science, especially in relation to Model Non-Uniqueness. In theory, you can indeed have infinitely many models that agree exacly with a given set of observations or measurements. In practice, however, there is often a small number of models in competition, each approximately consistent with the set of measurments gathered so far. What if you have, say, two accounts of how complex ceramics manage to become supraconducting at "high" tempearture. For a given experiment, one will predict a value of 12.458, for the material's resisitvity (let us call it R), and the other 12.743. Measurement yield values hovering between 12.465 and 12.580. It seems that the first model is better than the second thus, if many other experiments confirm it, the first theory will be chosen to become the established one. We will then have people routinely using the following logical entailments : let us call E the set of statements fully describing the experiment above, and P the statement "R = 12.458". According to the chosen theory, we have E => P. Then let P' be the statement "R between 12.465 and 12.580" (the experiment results). We have P' => ~P. If we conduct the experiment, we suposedly make E and P' true. Then, by logical entailment, we have E & (E => P), thus P and also P' & (P'= > ~P), thus ~P. Hence, we have P and ~P at the same time !
Well, I am not the first one to point out that formal logic has applicability problems. What is striking is how difficult it is for us to see these problems. We have been trained, on the one hand, into believing that a proposition must be true or false, so we say "yes obviously, we cannont hold simultaneously that P and ~P". On the other hand, thankfully, we continue to behave in a pragmatic fashion, as the example above shows. But our training has become so ingrained that we do not notice that our own practice violates the logical theory.
Now, let us consider the full list : the items on science + Logic and the last two, Completeness and Natural Language. Before proceeding further, I feel some additional input on your part would help me. First, does 'natural language' cover all of it, with all its actual and possible uses, or just a subset ? Also, what becomes of 'meaning' ? It seems to me that an account of natural language cannot do without some explanation of that notion. Lastly, how do you intend to use 'Completeness' ? Will there be some sort of test or procedure to decide, for a given statement, whether it is complete or not ?
10 Comments:
Hi Nicolas,
You have raised two questions. The first about logic, and the second relates to my definition of natural language.
Logic. First your questions about logic. You seem to be suggesting that it is possible to have true scientific propositions that are contradictory. This never ever happens.
In your experimental example, you have two theories T1 and T2.
T1 => R = 12.458
T2 => R = 12.743
The experimental data says that R = 12.5225 +/- 0.0575. Neither theory correctly predicts this value. The fact that T1 predicts a value that is nearer does not necessarily make it the leading candidate. What the experiment reveals is that neither theory is sufficiently subtle to predict the outcome of the experiment. We can either find a completely new theory, or modify the original two candidates.
No one would say that E => T1 or that E => T2, let alone E => R = 12.458.
I can think of no situation in physics where we have been let to conclude some P => ~P.
Even if T1 predicted a value in the range confirmed by experiment, it still would not be 'the truth' per se. It is simply the best model we have.
An example of this: the Dirac electron sea. This is a model of the ground state for fermions in which all negative energy states are already occupied. This model predicts positron physics quite well, but no one realy believes that the vacuum has infinite mass and infinite negative charge. The model itself is not reality.
The most extreme case of a "paradox" I can think of would be wave-particle duality. In this case, T1 says roughly that light acts like a wave, and T2 says roughly that light acts like a particle. In some scenarios, T1 fit the data, in other scenarios, T2 fit the data. It turned out that both theories were approximations to T3 which said that light is like a probability wave.
I do not dispute that sloppy thinking can produce the illusion of paradoxes or contradictions in nature. However, it is the role of philosophy to make our thinking clear. I think that LP does this flawlessly.
Natural Language. As to your questions about language, I think that Natural Language is really a communications protocol. It has several uses:
1) To state facts (NL propositions)
2) To request information (NL questions)
3) To request action (NL commands)
I have already said that NL propositions may be complete if they describe a falsifiable method of verification.
Let's define a new property called 'completable'.
An NL question is completable if we expect a complete response to the question, and are capable of verifying whether or not the response meets the demands of the request.
An NL command is completable if we can verify the requested action has been performed as per the command.
All other Natural Language messages are considered poetry, that is, they do not describe, request information or command action relating to verfiable facts. Poetry could be nonsense, but it might also be used to stimulate an emotional response. For example, a song with nonsensical lyrics would fall into this category because it is intended only to stimulate emotional responses.
The task of philosophy is to identify those natural language messages that are complete. It is my contention that metaphysical messages are all poetic.
Completeness. 'Completeness' is what most logical positivists would refer to as 'meaning'. I avoid the term 'meaning' because it has two interpretations.
The test of completeness is part of its definition. If your proposition is complete, you can perform an empirical test that will falsify the proposition with a finite number of trials.
doctor(logic)
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