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Sunday, January 29, 2006

 

Challenge problem à

Generative Methodology Glass Bead Games

 

possibility of complexity arising in grid computing

 

 

[368] ß [comment on four issues (Richard Ballard)

[367]  ß [Four Issues facing Ontological Modeling (Paul Werbos)

[371]   ß [Discussion about founding the Second School (Paul Prueitt)

[151]  ß [Comment by Paul Werbos on invariance of natural laws

[152]  ß [Continuing discussion between Peter Krieg and Judith Rosen

 

 

Communication to part of the SOA Blueprint Technical Committee (at OASIS)  à [144],

 

 

Note from Judith Rosen, regarding the nature of Shannon’s information theory,

Addressed to Dr Richard Ballard

 

Shannon's Information Theory pertains to a specific type of information, leaving all other types of information (particularly the biological, causally active types) out. Therefore, what is learned about the larger subject of information and all of its causal potential is a tiny, fractionated subset of the whole. Therefore, it would logically be unwise to rely on Shannon-based Information Theory as your sole source for that aspect of your work. I will quote for you a passage from "Anticipatory Systems" which can describe this situation in far more concrete terms than I...

 

On page 406, Robert Rosen wrote:

 

We shall introduce the rather wide-ranging considerations that follow with a discussion of the concept of information and its role in scientific discourse. Ever since Shannon began to talk about "Information Theory" (by which he meant a probabilistic analysis of the deleterious effects of propagating signals through "channels"; cf. Shannon, 1949) this concept has been relentlessly analyzed and re-analyzed. The time and effort expended on these analyses much surely rank as one of the most unprofitable investments in modern scientific history; not only has there been no profit, but the currency itself has been debased to worthlessness. Yet, in biology, for example, the terminology of information intrudes itself insistently at every level; code, signal, computation, recognition. It may be that these informational terms are simply not scientific at all; that they are an anthropomorphic stopgap; a facon de parler which merely reflects the immaturity of biology as a science, to be replaced at the earliest opportunity by the more rigorous terminology of force, energy, and potential which are the province of more mature sciences (i.e. physics) in which "information is never mentioned. Or, it may be that the informational terminology that seems to force itself upon us bespeaks something fundamental: something that is missing from physics as we now understand it. We shall take this latter viewpoint and see where it leads us.

 

In human terms, information is easy to define; it is anything that is or can be the answer to a question. Therefore, we shall preface our more formal considerations with a brief discussion of the status of interrogatives, in logic and in science.

 

The amazing fact is that interrogation is not ever a part of formal logic, including mathematics. The symbol "?" is not a logical symbol, as for instance are "v", [and several other notation symbols that my keyboard doesn't have; an upside down v, a backwards capital E and an upside down capital A]; nor is it a mathematical symbol. It belongs entirely to informal discourse, and as far as I know, the purely logical or formal character of interrogation has never been investigated. Thus, if information is indeed connected in an intimate fashion with interrogation, it is not surprising that it has not been formally characterized in any real sense. There is simply no existing basis on which to do so.

 

I do not intend to go deeply here into the problems of extending formal logic (always including mathematics in this domain) so as to include interrogatories. What I want to suggest here is a relation between our informal [natural language-based] notions of interrogation and the familiar logical operation "=>" ; the conditional, or the implication operation. Colloquially, this operation can be rendered in the form "If A, then B". My argument will involve two steps. First I will argue that every interrogative can be put into a kind of conditional form

 

If A, then B?

 

(where B can be an indefinite pronoun like "who", "what", etc., as well as a definite proposition). Second and most important, I will argue that every interrogative can be expressed in a more special conditional form, which can be described as follows. Suppose I know that some proposition of the form

 

If A, then B

 

is true. Suppose I now change or vary A; i.e. replace A by a new expression which I will call *A.

 

[Note; about *A... I have to improvise a symbol to substitute for the odd little notation (looks like an upside down tadpole with a bent tail) my father used in his book, so just pretend the * (asterisk) is one of those jobbies...]

 

<continuing>

 

The result will be an interrogative, which I can express as

 

If *A, then *B?

 

Roughly, I am treating the true proposition "If A, then B" as a reference, and I am asking what happens to this proposition if I replace the reference expression A by the new expression *A. I could of course do the same thing with B in the reference proposition; replace it by a new proposition *B and ask what happens to A. I shall assert that every interrogative can be expressed this way, in what I shall call a variational form.

 

The importance of these notions for us will lie in their relation to the external world; most particularly in their relation to the concept of measurement, and to the notions of causality to which they become connected when a formal or logical system is employed to represent what is happening in the external world; i.e. to describe some physical or biological system or situation.

 

Before doing this, I want to motivate the two assertions made above regarding the expression of arbitrary interrogatives in a kind of conditional form. I will do this by considering a few typical examples, and leaving the rest to the reader for the moment.

 

Suppose I consider the question; "Did it rain yesterday?"

 

First I will write it in the form "If (yesterday), then (rain)?"

 

Which is the first kind of conditional form described above. To find the variational form, I presume I know that some proposition like "If (today), then (sunny)" is true. The general variational form of this proposition is

 

"If *(today), then *(sunny)?".

 

In particular, then, if I put *(today) = (yesterday),*(sunny) = (rain)

 

I have indeed expressed my original question in the variational form. A little experimentation with interrogatives of various kinds taken from informal discourse (of great interest are questions of classification, including existence and universality) should serve to make manifest the generality of the relation between interrogation and the implicative forms described above; of course this cannot be proved in any logical sense, since as noted above, interrogation sits outside logic.

 

It is clear that the notions of observation and experiment are closely related to the concept of interrogation. That is why the results of observation and experiment (i.e. data) are so generally regarded as being information. In a formal sense, simple observation can be regarded as a special case of experimentation; intuitively, an observer simply determines what IS, while an experimenter systematically perturbs what is, and then observes the effects of his perturbation. In the conditional form, then, an observer is asking a question which can generally be expressed as: "If (initial conditions = 0), then (meter reading)?

 

In the variational form, this question may be formulated as follows

 

Assuming the proposition "If (initial conditions = 0), then (meter readings = 0)" is true-- which establishes the reference, and corresponds to calibrating the meters-- our question becomes:
"If *(initial conditions = 0), then *(meter readings =0)?

 

where simply *(initial conditions =0) = (initial conditions) and *(meter readings =0) = (meter readings).

 

The experimentalist essentially takes the results of observation as his reference, and thus, basically asks the question which in variational form is just "If *(initial conditions), then *(meter readings)?"

 

The theoretical scientist, on the other hand, deals with a different class of question; namely, with the questions which arise from assuming a *B (which may be B itself) and asking for the corresponding *A. This is a question which an experimentalist cannot approach directly, not even in principle. It is mainly the difference between the two kinds of questions which marks the difference between experiment and theory, as well as the difference between the explanatory and predictive roles of theory itself; clearly, if we give *A and ask for the consequent *B, we are predicting, whereas if we assume a *B and ask for the antecedent *A, we are explaining.

 

It should be noted that exactly the same duality arises in mathematics and logic themselves; i.e. in purely formal systems. Thus a mathematician can ask (informally): If (I make certain assumptions), then (what follows)? Or he can start with a conjecture, and ask; If (Fermat's Last Theorem is true), then (what initial conditions must I assume to explicitly construct a proof)? The former is analogous to prediction, the latter to explanation.

 

When formal systems (i.e. logic and mathematics) are used to construct images of what is going on in the world, then interrogations and implications become associated with ideas of causality. Indeed, the whole concept of natural law depends precisely on the idea that causal processes in natural systems can be made to correspond with implication in some appropriate descriptive inferential system (a model).

 

But the concept of causality is itself a complicated one; this fact has been largely overlooked in modern scientific discourse, to its cost. That causality is complicated was already pointed out by Aristotle. To Aristotle, all science was animated by a specific interrogative: Why? He said explicitly that the business of science was to concern itself with "the why of things". In our language, these are just the questions of theoretical science: If (B), then (what A)? and hence we can say B because A. Or in the variational form *B because *A.

 

But Aristotle argued that there were four distinct categories of causation; four ways of answering the question Why? [all of which can be answered with information that is "correct"]. These categories he called material cause, formal cause, efficient cause, and final cause. These categories of causation are not interchangeable. If this is so (and I will argue below that indeed it is), then there are correspondingly different kinds of information, associated with different causal categories. These different kinds of information have been confused, mainly because we are in the habit of using the same mathematical language to describe all of them; it is from these inherent confusions that much of the ambiguity and murkiness of the concept of information ultimately arises. [underlining, mine] Indeed, we can say more than this: the very fact that the same mathematical language does not (in fact, CANNOT) distinguish between essentially distinct categories of causation means that the mathematical language we have been using is in itself fundamentally deficient, and that it must be extended by means of supplementary structure to eliminate those deficiencies.

 

End excerpt.

 

OK , now this really is getting to be a long letter. Time for coffee.

 

Judith

 

Web address: http://www.rosen-enterprises.co

 

BioTheory: An electronic journal of general science based on the Relational (Rosennean) Complexity Paradigm