Icon, Likeness, Likely Story, Likelihood, Probability : 3

Re: Peirce List DiscussionPhyllis Chiasson

A more complete excerpt and the translator’s notes are very helpful here.

A probability (εικος) is not the same as a sign (σηµειον).  The former is a generally accepted premiss ;  for that which people know to happen or not to happen, or to be or not to be, usually in a particular way, is a probability :  e.g., that the envious are malevolent or that those who are loved are affectionate.  A sign, however, means a demonstrative premiss which is necessary or generally accepted.1  That which coexists with something else, or before or after whose happening something else has happened, is a sign of that something’s having happened or being.

An enthymeme is a syllogism from probabilities or signs ;  and a sign can be taken in three ways — in just as many ways as there are of taking the middle term in the several figures :  either as in the first figure or as in the second or as in the third.

  • E.g., the proof that a woman is pregnant because she has milk is by the first figure ;  for the middle term is ‘having milk’.  A stands for ‘pregnant’, B for ‘having milk’, and C for ‘woman’.

  • The proof that the wise are good because Pittacus was good is by the third figure.  A stands for ‘good’, B for ‘the wise’, and C for Pittacus.  Then it is true to predicate both A and B of C ;  only we do not state the latter, because we know it, whereas we formally assume the former.

  • The proof that a woman is pregnant because she is sallow is intended to be by the middle figure ;  for since sallowness is a characteristic of woman in pregnancy, and is associated with this particular woman, they suppose that she is proved to be pregnant.  A stands for ‘sallowness’, B for ‘being pregnant’, C for ‘woman’.

If only one premiss is stated, we get only a sign ;  but if the other premiss is assumed as well, we get a syllogism,2 e.g., that Pittacus is high-minded, because those who love honour are high-minded, and Pittacus loves honour ;  or again that the wise are good, because Pittacus is good and also wise.

In this way syllogisms can be effected ;  but whereas a syllogism in the first figure cannot be refuted if it is true, since it is universal, a syllogism in the last figure can be refuted even if the conclusion is true, because the syllogism is neither universal nor relevant to our purpose.3  For if Pittacus is good, it is not necessary for this reason that all other wise men are good.  A syllogism in the middle figure is always and in every way refutable, since we never get a syllogism with the terms in this relation4 ;  for it does not necessarily follow, if a pregnant woman is sallow, and this woman is sallow, that she is pregnant.  Thus truth can be found in all signs, but they differ in the ways which have been described.

We must either classify signs in this way, and regard their middle term as an index (τεκµηριον)5 (for the name ‘index’ is given to that which causes us to know, and the middle term is especially of this nature), or describe the arguments drawn from the extremes6 as ‘signs’, and that which is drawn from the middle as an ‘index’.  For the conclusion which is reached through the first figure is most generally accepted and most true.  (Aristotle, Prior Analytics 2.27, 70a3–70b6).

Translator’s Notes

  1. If referable to one phenomenon only, a sign has objective necessity ;  if to more than one, its value is a matter of opinion.
  2. Strictly an enthymeme.
  3. If the signs of an enthymeme in the first figure are true, the conclusion is inevitable.  Aristotle does not mean that the conclusion is universal, but that the universality of the major premiss implies the validity of the minor and conclusion.  The example (<all> those who have honour, etc.) quoted for the third figure contains no universal premiss or sign, and fails to establish a universal conclusion.
  4. i.e. when both premisses are affirmative.
  5. Signs may be classified as irrefutable (1st figure) and refutable (2nd and 3rd figures), and the name ‘index’ may be attached to their middle terms, either in all figures or (more probably) only in the first, where the middle is distinctively middle.
  6. Alternatively the name ‘sign’ may be restricted to the 2nd and 3rd figures, and may be replaced by ‘index’ in the first.

Aristotle, “Prior Analytics”, Hugh Tredennick (trans.), pp. 181–531 in Aristotle, Volume 1, Loeb Classical Library, William Heinemann, London, UK, 1938.

Related content in Appendix A of Theme One Program • User Guide.

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Icon, Likeness, Likely Story, Likelihood, Probability : 2

Re: Peirce List DiscussionPhyllis Chiasson

I’m still a bit fuzzy on how Aristotle’s account relates to Peirce’s usage, though I’m pretty sure Peirce must have taken Aristotle’s usage into account, but it does seem that Aristotle drew some sort of distinction here, using a term “tekmerion” that gets translated as “index” to make the following remark later on in that chapter.

We must either classify signs in this way, and regard their middle term as an index [τεκµηριον] (for the name ‘index’ is given to that which causes us to know, and the middle term is especially of this nature), or describe the arguments drawn from the extremes as ‘signs’, and that which is drawn from the middle as an ‘index’.  For the conclusion which is reached through the first figure is most generally accepted and most true.  (Aristotle, Prior Analytics, 2.27.70b1–6).

Aristotle, “Prior Analytics”, Hugh Tredennick (trans.), pp. 181–531 in Aristotle, Volume 1, Loeb Classical Library, William Heinemann, London, UK, 1938.

Related content in Appendix A of Theme One Program • User Guide.

Posted in Aristotle, C.S. Peirce, Icon Index Symbol, Logic, Peirce, Peirce List, Probability, Probable Reasoning, Semiotics, Sign Relations | Tagged , , , , , , , , , | Leave a comment

Icon, Likeness, Likely Story, Likelihood, Probability : 1

Re: Peirce List DiscussionBenjamin UdellMichael Shapiro

Here’s a likely locus classicus for “icon” in its logical sense:

A probability (εικος) is not the same as a sign (σηµειον).  The former is a generally accepted premiss;  for that which people know to happen or not to happen, or to be or not to be, usually in a particular way, is a probability:  e.g., that the envious are malevolent or that those who are loved are affectionate.  A sign, however, means a demonstrative premiss which is necessary or generally accepted.  That which coexists with something else, or before or after whose happening something else has happened, is a sign of that something’s having happened or being.  (Aristotle, Prior Analytics, 2.27.70a3–10).

Aristotle, “Prior Analytics”, Hugh Tredennick (trans.), pp. 181–531 in Aristotle, Volume 1, Loeb Classical Library, William Heinemann, London, UK, 1938.

Related content in Appendix A of Theme One Program • User Guide.

Posted in Aristotle, C.S. Peirce, Icon Index Symbol, Logic, Peirce, Peirce List, Probability, Probable Reasoning, Semiotics, Sign Relations | Tagged , , , , , , , , , | 1 Comment

Alpha Now, Omega Later • 6

Re: Alpha Now, Omega LaterTheorems From Physics?Isomorphism Is Where It’s At

In the late 1970s a number of problems in combinatorics and graph theory that I really wanted to know the answers to had driven me to the desperate measures of trying to write a theorem-proving program to help with the work.  Being familiar with the conceptual efficiencies of Peirce’s logical graphs and inspired by George Spencer Brown’s more recent resurrection of Peirce’s ideas, I naturally turned to those resources for the initial implements of my computational prospecting. The succession of computers and programming languages that I quested with over the years taught me a lot about the things that work and the things that do not. Dissolving for now to the present scene, I will use the next few posts to outline, as succinctly as I can, the basic constructs that developed through that line of inquiry.

Minimal Negation Operators and Painted Cacti

Let \mathbb{B} = \{ 0, 1 \}.

The objects of penultimate interest are the boolean functions f : \mathbb{B}^n \to \mathbb{B} for n \in \mathbb{N}.

A minimal negation operator \nu_k for k \in \mathbb{N} is a boolean function \nu_k : \mathbb{B}^k \to \mathbb{B} defined as follows:

  • \nu_0 = 0.
  • \nu_k (x_1, \ldots, x_k) = 1 if and only if exactly one of the arguments x_j equals 0.

The first few of these operators are already enough to generate all boolean functions f : \mathbb{B}^n \to \mathbb{B} via functional composition but the rest of the family is worth keeping around for many practical purposes.

In most contexts \nu (x_1, \ldots, x_k) may be written for \nu_k (x_1, \ldots, x_k) since the number of arguments determines the rank of the operator.  In some contexts even the letter \nu may be omitted, writing just the argument list (x_1, \ldots, x_k), in which case it helps to use a distinctive typeface for the list delimiters, as \texttt{(} x_1 \texttt{,} \ldots \texttt{,} x_k \texttt{)}.

A logical conjunction of k arguments can be expressed in terms of minimal negation operators as \nu_{k+1} (x_1, x_2, \ldots, x_{k-1}, x_k, 0) and this is conveniently abbreviated as a concatenation of arguments x_1 x_2 \ldots x_{k-1} x_k.

See the following article for more information.

To be continued …

Posted in C.S. Peirce, Differential Logic, Dynamical Systems, Equational Inference, Laws of Form, Logic, Logical Graphs, Mathematics, Propositional Calculus, Semiotics, Sign Relations, Spencer Brown | Tagged , , , , , , , , , , , | 5 Comments

Alpha Now, Omega Later • 5

Re: R.J. Lipton and K.W. ReganIsomorphism Is Where It’s At

  • “Are there more good cases of isomorphism to study?”

Just off the top of my head, a couple of examples come to mind.

Sign Relations.  In computational settings, a sign relation L is a triadic relation of the form L \subseteq O \times S \times I, where O is a set of formal objects under consideration and S and I are two formal languages used to denote those objects.  It is common practice to cut one’s teeth on the special case S = I before moving on to more solid diets.

Cactus Graphs.  In particular, a variant of cactus graphs known (by me, anyway) as painted and rooted cacti (PARCs) affords us with a very efficient graphical syntax for propositional calculus.

I’ll post a few links in the next couple of comments.

Posted in C.S. Peirce, Differential Logic, Dynamical Systems, Equational Inference, Laws of Form, Logic, Logical Graphs, Mathematics, Propositional Calculus, Semiotics, Sign Relations, Spencer Brown | Tagged , , , , , , , , , , , | 6 Comments

Alpha Now, Omega Later • 4

Re: Cristopher Moore on Theorems From Physics?

It is critically important to distinguish between the objective landscape, the boolean functions as mathematical objects, and the syntactic landscape, the particular formal language we are using as a propositional calculus to denote and compute with those objects.  If we do hill-climbing, we must keep our feet on the objective territory, however much we rely on syntactic maps to narrate the travelogue.  (Many will be thinking of manifolds here.)  The object domain has a fixed structure but the conceptual clarity and computational efficiency of propositional calculi can very likely be improved indefinitely.

Posted in C.S. Peirce, Differential Logic, Dynamical Systems, Equational Inference, Laws of Form, Logic, Logical Graphs, Mathematics, Propositional Calculus, Semiotics, Sign Relations, Spencer Brown | Tagged , , , , , , , , , , , | 6 Comments

Alpha Now, Omega Later • 3

Re: R.J. Lipton and K.W. ReganTheorems From Physics?

Bits of Synchronicity …

What kind of information process is scientific inquiry?

What kinds of information process are involved in the various types of inference — abductive, deductive, inductive — that go to make up scientific inquiry?

What kinds of information process are computation and proof?

Many types of deductive inference, including many kinds of computation and proof, don’t really change our state of information so much as increase the clarity of that information.  Do we have any way to quantify clarity in the way we define measures of information?

Posted in C.S. Peirce, Differential Logic, Dynamical Systems, Equational Inference, Laws of Form, Logic, Logical Graphs, Mathematics, Propositional Calculus, Semiotics, Sign Relations, Spencer Brown | Tagged , , , , , , , , , , , | 6 Comments

Alpha Now, Omega Later • 2

It’s been a while since I threaded this thread — and then there were all the delightful distractions of the holiday convergence — so let me refresh my memory as to what drew me back to these environs.

I’m still in the middle of trying to catch up on some long put-off work, but recent discussions of logical graphs and physics and the like on the list have bestirred me from my grindstone long enough to pass on a few links to the things I’ve been doing along those lines.  This is all “Alpha” as far as Peirce’s graphology goes, but one of the things we’ve learned in recent decades from computational complexity theory is just how key a role problems like propositional calculus play in solving many other problems of practical interest, so I won’t make any further apology for focusing attention on this “zeroth order” level.  I don’t have much to say about physics per se but if we generalize our concept of dynamics and speak of systems theory as a study of media and populations that move through their state spaces over spans of time, then I think it is useful to take up that perspective on the time evolution of logical media informed by logical signs.

Good — logic and time, the time evolution of inquiry driven systems.  I’ll do my best to stay focused on that interplay of subjects.

Let me start with a different set of articles this time.  You will notice a lot of redundancy among these articles, as I’ve written many invitations to the subject over the years.  Some of these were originally written for people who were already familiar with Spencer Brown’s Laws of Form, so I jumped right in with the formal equations that would have been recognizable to them.

Posted in C.S. Peirce, Differential Logic, Dynamical Systems, Equational Inference, Laws of Form, Logic, Logical Graphs, Mathematics, Propositional Calculus, Semiotics, Sign Relations, Spencer Brown | Tagged , , , , , , , , , , , | 6 Comments

Objects, Models, Theories : 4

Aristotle's Paradigm

I need to stay with this problem a while …

What are objects, models, theories, and how do they relate to one another?

In contemplating this problem I always find it helpful to ruminate on the diagram shown above — I might even call it a mandala for its wealth of symbolic features and its aid in organizing the pro-&-con-fusion of mental impressions.

Here is the corresponding text from Aristotle and the context that leads on to Peirce:

Previous Discussions

  1. Games, Evolution, TheoryThree Types Of Mathematical Models
  2. Gödel’s Lost LetterThe Graph Of Math
  3. Peirce ListTom Gollier
  4. Peirce ListTom Gollier

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Objects, Models, Theories : 3

Re: Peirce List DiscussionTom Gollier

Here my task is to build bridges between several different classical and contemporary uses of the word model, so I don’t have the luxury of complete control over the words in play but have to start from the customary senses in the various communities of interpretation.  Of course I’m slyly working from a sign-relational backdrop, but I have to be sleight-handed about that and not hit people over the head with it.

You can probably guess that I’m using object to cover sign-relational objects, and theories are clearly syntacked together from complexes of sign-relational signs, so all we have left to pin down is where the various kinds of model sit at the table set with the labels of Object, Sign, Interpretant.

In its theoretical sense, a model of a theory is anything the theory is true of, anything that satisfies the theory.  In that sense, a model is very like an object.  It is whatever the theory is talking about.  In the order of nature, indeed, models come before theories.  But there is another order, the order of art, and one may construct artificial models out of almost any stuff, even the stuff of signs.  So you see the kind of wiggle room we have to work with.

Things are easier outside of logic, in applied mathematics and the special sciences, where models are just things like analogues, icons, simulations, and similar representations of objects.  But that makes them objects serving as signs of other objects, and so you may find some semiotic subtlety lurking there.

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Posted in Adaptive Systems, Analogy, Aristotle, Artificial Intelligence, Biological Systems, C.S. Peirce, Computational Complexity, Evolution, Gödel, Information, Inquiry, Inquiry Driven Systems, Learning Theory, Logic, Logic of Science, Mathematical Models, Mental Models, Model Theory, Natural Intelligence, Peirce, Pragmata, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , | 4 Comments