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Location: http://www.cs.mun.ca/~ulf/gloss/symani.html. By Ulf Schünemann since 2003. Please email me your comments.

Formalization and Symbol Manipulation

  1. Limitation 1: Meaning of Formalism Cannot be Fixed through Formalism
  2. Limitation 2: Formal Consistency and Foundation of the Axiomatic Method?
  3. Limitation 3: Uncomputable Numbers
  4. Symbol Manipulation Systems
  5. Notations for Symbol Manipulation Systems

[GP] [GP] Ernest Nagel, James R Newman: Gödel's proof; (reprint from Scientific American 1956); 51-71 in Irving M Copi, James A Gould: Contemporary Readings in Logical Theory; Macmillan 1967.
[Myhill] John R Myhill: On the Ontological Significance of the Löwehnheim-Skolem Theorem; (reprint from 57-70 M White: Academic Freedom, Logic, and Religion; Univ. of Pennsylvania 1951); 40-51 in Irving M Copi, James A Gould: Contemporary Readings in Logical Theory; Macmillan 1967.
[Wang] Hao Wang: On Formalization; (reprint from 57-67: A Survey of Mathematical Logic; North-Holland 1962. originally appeared 226-238: Mind: 64; 1955); 29-40 in Irving M Copi, James A Gould: Contemporary Readings in Logical Theory; Macmillan 1967.

Limitation 1: Meaning of Formalism Cannot be Fixed through Formalism

Formalization is too weak to fully express / replace intuition (private) and informal conventions (public).

1. Limits of Defining Formalism's Meaning: The Symbol Grounding Problem. Searle's Chinese Room «has provoked an enormous variety of responses ... Stevan Harnad, for example, ... [emphasizes] the importance of infusing otherwise purely syntactic strings with semantic content, if they are to be meaningful symbols rather than meaningless marks ... The necessity to locate a suitable mechnism for imparting meaning to symbols he calls the symbol grounding problem.
... [A] Chinese-Chinese disctionary may succeed in relating some Chinese symbols to other Chinese symbols, but ... such a resource is woefully inadequate for anyone who actually wanted to learn Chinese. ...
... [M]ore generally for any language whatever ... the ords that occur in that language are either defined or undefined ("primitive").» In princple, the defined words could be recursively expanded to those words which define them, until «nothing but string of proimitives specifying the meaning of non-primitive symbols should remain. If we cannot understand primitive symbols, surely we cannot understand symbols defined by means of them» [
Fetzer:6].
Two explanations:

  1. Reduction to innate language, Jerry Fodor's "language of thought". «In order for this unlearned base language to provide a foundation for the introduction of any word that might emerge during the course of human existence, the innate stock of primitives must be adequate to the description of any future development in art, history, science or technology. ... Moreover, since everyone has the same stock of semantic primitives, our pro[s]pects for successful translation from any language to another are unlimited. No one can ever mean anything that anyone else cannot undestand relative to the base language they share» [Fetzer:7f].
    «In order to learn any ordinary language, it is necessary to discover (through experience) the truth conditions for each of the predicates in that language within the language of thought. ... Since not all pseakers of rodinary language display similar linguistic ability, eveidently they simply have not exercised equal ingeuity in discovering the truth conditions that lie undiscovered in their mental language as an as-yet-unrealized resource» [Fetzer:84].
  2. Reduction to pragmatics. Learn the meaning of symbols by (1) being shown (a representative for) the referent, eg. a cow, and (2) by success-or-failure of communication with others.
    «With respect to the primitive terms that occur in any ordinary language, we must discover how they are used rather that ask for their linguistic meaning, precisely as Wittgenstein proposed. From this point of view, therefore, knowledge of a language is far more adequately envisioned as a skill than as a state (as a matter of `knowing how' rather of `knowing that') ...» [Fetzer:86].
    «[L]anguages can be learned through experience and ingenuity, so that the very `experiences' [of Fodor's truth conditions] ... might occur even in the absence of a language of thought! ... [The alternative] would be to take seriously that learning presupposes some osrt of `understanding', iwhtout assuming that the form of understanding involved here has to be linguistic. As infants and children, we frequently - even typically - learn to do things (such a nipple, bounce a bassl, smile a lot) without having any name or label for the habits, skills or activities thereby performed. It should not be especially surprising, therefore, that when (initially unfamiliar) words are associated with (already familiar) things, including patterns of behavior that we happen to have displayed, it does not demand extraordinary ingenuity or vast experience for a (neurologically normal) human being to learn forms of language that are appropriate to their age and experience» [Fetzer:84f].
«Gödel has demonstrated that any formal system that is more complex than monadic first-order predicate logic will be complete only if it is inconsistent and consistent only if it is incomplete. For formal systems modeling the syntax and the semantics of languages that include multiple quantifiers, relations and identity, completeness proofs are not to be expected» [Fetzer:156].

2. Limits of Expressing Meaning: The Unformalizable Residue. [Cf. expressability in programming language design.] «To put thoughts in words or to describe a particular experience involves formalization of intuition. It has been contended that no finite number of propositions could describe exhaustively all that is involved in a particular experience. In other words, it is impossible to formalize without residue the complete intuition at the moment.
The matter of approximating intuition by formalization is clearer with regard to mathematics. For example, we know intuitively many things about integers. ... Peano's axioms are thought to be capable of characterizing completely our notion of positive integers. Yet, as Russell observed long ago, Peano's axioms are satisfied by all progressions such as the odd positive integers, the negative integers. ...
In fact ... there are important results which indicate unmistakably that we can formalize without residue neither the fundamental intuitive notion of positive integers nor the basic notion of sets or classes.
... It also follows [from Gödel's theorem] that no ordinary axiom system can preclude the interpretation that besides the ordinary 1, 2, ... the set of positive integers also contains certain other queer things; there is no way to formalize in an ordinary logistic system our intuition that 1, 2, ... are the only integers.
On the other hand, there is no axiom system in which we can get all the real numbers or the classes of positive integers. This follows easily from Cantor's famous argument for non-denumerability. Thus, given any axiom system, we can enumerat all the classes of positive integers which can be proven to exist in the system, either by applying Löwenheim's theorem or by reflecting on the fact that the theorems of existence in the system can enumerated. Hence, if we define with Cantor a class K of positive integers such that for ecach n, n belongs to K if and only if n does not belong to the nth class in the enumeration, then the existence of K cannot be proven in the system. In other words, although in the system we can also speak of all the classes of positive integers, we cannot really formalize without rediue the intuitive notion of "all" with regard to classes of positive integers; in each formalized axiom system, there is always some class of positive integers that is left out» [Wang 33ff].

3. The Puzzle of the Löwehnheim-Skolem Theorem (model theory). «The [Löwenheim-Skolem theorem] states that every formal system expressed in the first order functional calculus has a denumerable model. In particular the general theory of sets as axiomatized e.g., by von Neumann and Gödel has a denumerable model; yet this theory was designed in part in order to formalize in a consistent and rigorous manner the arguments of Cantor's theory of infinite cardinals» [Myhill 43].
«[T]he continuum is according to formalized set-theory non-denumerable; i.e., its non-denumerability is a thesis of that theory. ... On the other hand, since formalized set-theory possesses a denumerable model, it possesses a model in the integers; and so there is a one-to-one correlation between all the sets of formalized set-theory and integers, namely the correlation which correlates each set with the integer representing it in the model. A fortiori there is a correlation between those particular sets in the formal system which constitute the continuum and a subset of the integers. It appears to follow» [Myhill 43]

«Hence we infer that we cannot adequately express the notion of indenumerability and of the continuum within formalized set-theory, in the sense that all we can assert is the absence of a correlation within the set-theory itself between the continuum and the intgers, whereas to do justice to our intuitive idea of a non- denumerable continuum we would wish to assert the absence of any correlation whatsover. Here `any correlation whatsover' is [necessarily!, Ulf] an informal notion, for as soon as it is formalized we have once more only those correlations which one represented in a particular formal system, and the whole argument could be repeated concerning this system. Hence we suspect the existence of a non-formalizable notion, and that on a very low level of mathematics. The [feeling of the Löwehnheim-Skolem theorem as a] `paradox' thus concerns the inadequacy of formalism to its supposed informally conceived object, and is therefore ... a paradigm of the eventually informal and philosophical character of metamathematical anxiety» [Myhill 43f, underlining added].

But what the Löwehnheim-Skolem theorem really means is that «there exist relations having all the formal properites assigned to class-membership by the axioms of (any consistent) set-theory, and also having denumerable fields. But none of these relations is class-membership; for class-membership certainly has a vastly non-denumerable field. Hence all the Löwehnheim-Skolem models of set-theory are non-standard, relative to the given interpretation. Indeed, there is evidently only one standard model of set-theory, because the predicate-letter epislon, the only one which appears, is already preassigned on interpretation.
... [I]f we fix the interpretation of epsilon, the set-theory has but one model, namely the one which interprets epsilon in the way we fixed it, and U as the field of epsilon thus interpreted; and that this model is indenumberable. But then it seems after all that the indenumerability arose in the (informal, external) interpretation and not in the formalism itself; so that after all there is a good sense in which formalism is inadequate to express indenumerability [underlining added].
This difficulty can I think be resolved by distinguishing a private and a public aspect of formalism» [Myhill 49f].

A. Private: Formalism is too weak to replace intuition of the standard model. «Formalism in its private aspect is a computational device for avoiding `raw thought' .. All real mathematics is made with ideas, but formalism is always ready in case we grow afraid of the shifting vastness of our creations. ... The Skolem `paradox' thus proclaims our need never to forget completely our intuitions. We could shift to a formalism indistinguishable from set-theory and it could be something other than set-theory. It only remains set-theory as long as the intuition of membership has not slipped away from us. It could be formally the same and have a grotesquely different meaning. ... At least, even if our intuition of membership perishes entirely, we can rely on set-theory not to turn overnight into the theory of some finite group, even though we cannot guarantee that it will not turn into a theory about some complicated arithmetical relation» [Myhill 50].

B. Public: Formalism is too weak to replace informal convention of the standard model. «[T]here seems to be no formal means of assuring that our conception of membership any more more than our perception of a particular sense-quality is the same as another person's. For no finite or even infinite number of formal assertions agreed on by us both could be evidence that his set-theory was not in my sense denumerable. Of course it would not be denumerable in his sense, but I would not know if he meant by `denumerable' what I meant by `denumberable' unless I knew that he meant the same as I mean by `membership.' The second philosophical lesson of the Löwehnheim-Skolem theorem is that the formal communication of mathematics presupposes an informal community of understanding» [Myhill 50, underlining added].


Limitation 2: Formal Consistency and Foundation of the Axiomatic Method?

Mathematical Advance by the Axiomatic Method. «The axiomatic method invented by the Greeks has always been regarded as the strongest foundation for erecting systems of mathematical thinking. ... Until recent times the only branch of mathematics that was considered by most students to be established on sound axiomatic foundations was geometry. But within the past two centuries powerful and rigorous systems of axioms have been developed for other branches of mathematics ... » [GP 52]. «The 19th century witnessed a tremendous surge forward in mathematical research. Many fundemental problems that had long resisted solution were solved; new areas of mathematical study were created; foundations were newly built or rebuilt for various branches of the discipline. The most revolutionary development was the construction of new geometries ... In particular the modification of Euclid's parallel axiom led to immensly fruitful results ["non-Euclidean geometries"] ... It was this successful departure that stimulated the development of an axiomatic basis for other branches of mathematics which had been cultivated in a more or less intuitive manner.» «Mathematicians came to hope and believe that the whole realm of mathematicsal reasoning could be brought into order by way of the axiomatic method.
Gödel's paper put an end to this hope. He confronted mathematicians with proof that the axiomatic method has certain inherent limitations which rule out any possibility that even the ordinary arithmetic of whole numbers can ever be fully systematized by its means. What is more, his proofs brought the astounding and melancholy relevation that it is impossible to establish the logical consistency of any complex deductive system except by assuming principles of reasoning whose own internal consistency is as open to question as that of the system itself» [GP 52].

The Nature of Mathematics: Abstract and Formal. «One important conclusion that emerged from [axiomatizing] the foundations of mathematics was that the traditional conception of mathematics as the "science of quantity" was inadequate and misleading. For it became evident that mathematics was most essentially concerned with drawing necessary conclusions from a given set of axioms (or postulates). It was thus recognized to be much more "abstract" because mathematical statements can be construed to be about anything whatsover, not merely about some inherently circumscribed set of objects or traits of objects; more "formal" because the validity of a mathematical demonstration is grounded in the structure of statements rather than in the nature of a particular subject matter. The postulates of any branch of demonstrative mathematics are not inherently about space, quantity, apples, angles or budgets, and any special meaning that may be associated with the postulates' descriptive terms play no essential role in the process of deriving theorems. The question that confronts a pure mathematician (as distinct from the scientist who emplys mathematics in investigating a special subject matter) is not whether the postulates he assumes or the conclusions he deduces from the are true, but only whether the alledged conclusions are in fact the necessary logical consequences of the initial assumptions. This approach recalls Betrand Russell's famous epigram: Pure mathematics is the subject in which we do not know what we are talking about, nor whether what we are saying is true» [GP 52f, underlining added].

Abstractness Makes Consistency Harder to See. «A land of rigorous abstraction, empty of all familiar landmarks, is certainly not easy to get around in. But it offers compensations in the form of new freedom of movement and fresh vistas. As mathematics became more abstract, men's minds were emancipated from habitual connotations of language and could construct novel systems of postulates ... Some of these systems ... did not lend themselves to interpretations as obviously intuitive ("common sense") as those of Euclidean geometry or arithmetic ... [This is not the problem because what is intuitive is not fixed and because intuition is not a safe criterion for truth or fruitfulness.]
However, the increased abstractness of mathematics also raised a more serious problem. When a set of axioms is take to be about a definite and familiar domain of objects, it is usually possible to ascertain whether the axioms are indeed true of these objects, and if they are true, they must also be mutually consistent. But the abstract non-Euclidean axioms appeared to be plainly false as descriptions of space, and, for that matter, doubtfully true of anything. ... [The Riemannian postulates] are apparently not true of the ordinary space of our experience. How then is their consistency to be tested? How can one prove that they will not lead to contradictory theorems?» [GP 53f]

Two methods:

A. Model Theory: The Model Method. «A general method for solving this problem was proposed. The underlying idea is to find a "model" for the postulates so that each postulate is converted into a true statement about the model» [GP 54].

A1. Foundation in Finite Models. «So long as we can interpret a system by a model containing only a finite number of elements, we have no great difficulty in proving the consisteny of its postulates. ... Unfortuately most of the postulate systems that constitute the foundations of important branches of mathematics cannot be mirrored in finite models; they can be satisfied only by non-finite ones. [For example, the successor axiom of arithmetics allows only for infinite models of arithmetics.] It follows that the truth (and so the consistency) of the set [of such postulates] cannot be established by inspection and enumeration.»

A2. The Infinite Regress Problem. «We may adopt a model ombodying the Riemannian postulates in which the expression "plane" signifies the surface of a Euclidean sphere; the repsression "point," a point on this surface; the expression "straingt line," an arc of a great circle on this surface, and so on. Each Riemannian postulate can then be converted into a theorem of Euclid. ...
Unhappily this method is vulnerable to a serious objection; namely, that it attempts to solve a problem in one domain merely by shifting the problem to another (or, to put it another way, we invoke Euclid to demonstrate the consistency of a system which subverts Euclid). Riemannian geometry is proved to be consistent only if Euclidean geometry is consistent. Query, then: Is Euclidean geometry consistent? If we attempt to answer this question by invoking yet another model, we are no closer to our goal. In short, any proof obtained by this method will be only a "relative" proof of consisteny, not an absolute proof» [GP 54f].

A3. The Foundation-in-Intuition Problem. «It may be tempting to suggest ... that a set of postulates is consistent ... if the basic notions employed are transparently "clear" and "cretain." But the history of though has not dealt kindly with the doctrine of intuitive knowledge implicit in this suggestion. In certain areas of mathematical research radical contradictions have turned up in spite of "intuitive" clarity of the notions involved in the assumptions, and despite the seemingly consistent character of the intellectual constructions performed. Such contraditions (technically called "antinomies") have emerged, for example, in the theory of infinite numbers devceloped by Georg Cantor in the 19th cenury. His theory was built on the elementary and seemingly "clear" concept of class. ...
In point of fact, Bertrand Russel constructed a contradition [precisely analogous to the contradition discovered in Cantor's theory of infinite classes] within the framework of elementary logic itself. ... All classes apparentyl may be divided into two groups: those which do not contain themselves as members, and those which do. An example of the first is the class of mathematicians, for patently the class itself is not a mathematician ... An example of the second is the class of all thinkable concepts, for [it] is itself a thinkable concept ... [Now, what kind of class is the class of all classes of the first kind? It cannot be either, because either choice results in a contradiction.] This fatal contradiction results from the uncritical use of the apparently pellucid notion of class.
Other paradoxes were found later, each of them constructed by means of familiar and seemingly cogent modes of reasoning. Non-finite models by their very nature involve the use of possibly inconsistent sets of postulates. Thus it became clear that, although the model method ... is an invaluable mathematical tool, that method does not supply a final answer to the problem it was designed to resolve» [GP 56].

B. Proof Theory: The Method of Formal Mathematics + Meta-Mathematics. «The eminent German mathematician David Hilbert then adopted the opposite approach of eschewing models and draining mathematics of any meaning whatsover. In Hilbert's complete formalization, mathematical expressions are regarded simply as empty signs. The postulates and theorems constructed from the system of signs (called a calculus) are simply sequences of meaningless marks which are combined in strict agreement with explicitly stated rules. The derivation of theorems from postulates can be viewed as simply the transformation of one set of such sequences, or "string," into another set of "strings," in accordance with precise rules of operation. In this manner Hilbert hoped to eliminate the danger of using any unavowed principles of reasoning.
Formalization is a difficult and tricky business, but it serves a valuable purpose. It reveals logical relations in nakes clarity ... One is able to see the structural patterns of various "string" of signs: how they hang together, how they are combined, hot they nest in one another, and so on. A page covered with the "meaningless" marks of such a formalized mathematics does not assert anything ... <-- ---it is simply an abstract design or a mosaic possessing a certain structure-->. But configurations of such a system can be described, and statements can be made about their various relations to one another. One may say that a "strinng" ... resembles another "string," or that one "string" appears to be made up of three others, and so on. Such statements will evidently be meaningful.
Not it is plain that any meaningful statements about a meaningless syste, do not themselves belong to that system. Hilbert assigned them to a separate realm which we called "meta-mathematics." Meta-mathematical statements are statements about signs and expressions of a formalized mathematical system: about the kinds and arrangements of such signs when they are combined to form longer strings of marks called "formulas," or about the relations between formulas which may obtain as a consequence of the rules of manipulation that have been specified for them.
[For example, the arithmetic expression "2+3=5" belongs to mathematics. OTOH the expression "`2+3=5' is an arithmetic formula"] does not express a mathematical fact: it belongs to meta-mathematics, because it characterizes the string of mathematical signs. Similarly the expression x=x belongs to mathematics, but the statemtent "`x' is a variable" belong to meta-mathematics. ... Finally, the following statement also belongs to meta-mathematics: "Arithmetic is consistent" (i.e., it is not possible to derive from the axioms of arithmetics both the formula 0=0 and also the formula 0/=0)» [GP 57f].

B1. The Formalists' Programme: Foundation in Finite Formal Proofs. «Hilbert attempted to build a method of "absoulte" proof of the internal consistency of mathematical systems. Specifically, he sought to develop a theory of proof whch would yield demonstrations of consisteny by an analysis of the purely structural features of expressions in completely formalized (or "uninterpeted") calculi. Such an analysis consists exclusively of noting the kinds and arrangements of signs in formulas and determining whether a given combination of signs can be obtained from others in accordance with th explicitly stated rules of operation. An absolute proof of the consistency of arithmetic, if one could be constructed, would consist in showing by meta-mathematical procedures of a "finitistic" non-infinite character that two "contradictory" formulas, such as (0=0) and its negation, cannot both the derived from the axioms or initial formulas by valid rules of inference» [GP 58].
-> Logical calculi

B2. The Defeat. Gödel showed 1931 «that it is impossible to establish a meta-mathematical proof of the consistency of a system comprehensive enough to contain the whole of arithmetic---unless, indeed, this proof itself employs rules of inference much more powerful than the transformation rules used in deriving theorems within the system. In short, one dragon is slain only to create another» [GP 64f]
Second, «Gödel showed that Principia, or any other system within which arithmetic can be developed, is essentially incomplete. In other words, given any consistent set of arithmetical axioms, there are true arithmetical statements which are not derivable from the set. A classic illustration of a mathematical "theorem" which has thwarted all attempts at proof is that of Christian Goldbach, stating that every even number is the sum of two primes. No even number has ever been found which is not the sum of two promes, yet no one has succeeded in finding a proof that the rule applies without exception to all even numbers. ... [E]ven if any finite number of other axioms is added, there will always be further arithmetical truths which are not formally derivable» [GP 65].

«What Gödel aimed at was nothing less than the complete arithmetization of meta-mathematics. If each meta-mathematical statement could be uniquely represented in the formal system by a formula expressing a relation between numbers, questions of logical dependence between meta-mathematical statements could be explored by examining the corresponding relation between integers» [GP 67].

«Gödel's analysus does not exclude a meta-mathematical demonstration of the consistency of arithemtic; indeed, such proofs have been constructed, notably by Gerhard Gentzen, a member of the Hilbert school. But these "proofs" are in a sense pointless, because they employ rules of inference whose own internal consistency is as much open to doubt as is the formal consistency of arithmetic itself. Gentzen's proof employs a rule of inference which in effect permits a formula to be derived from an infinite class of premisses. And the employment of this non-finitistic meta- mathematical notion raises once more the difficulty which Hilbert's original program was intended to solve.
There is another surprise coming. Although the formula G is undecidable, it can be shown by meta-mathematical reasoning that G is nevertheless a true arithmetical statement and expresses a property of the arithmetical integers. ... G corresponds to a meta-mathematical statement ("the formula with Gödel number h is not demonstable") which, as we have seen, is true, unless arithmetic is inconsistent. It follows that G itself must be true. We have thus established an arithmetical truth by a meta-mathematical argument» [GP 69].
«Contrary to previous assumptions, the vast "continent" of arithmetical truth cannot be brought into systematic order by way of specifying once for all a fixed set of axioms from which all true arithmetical statements would be formally derivable» [GP 69f, underlining added].


Limitation 3: Uncomputable Numbers

Cf. classification of numbers

Chaitin's constant (for a given computational model and program encoding)

  • can be defined uniquely
  • but there is no way of computing it (by any calculus/algorithm/TM/...) [wiki]

    Let programs be encoded with prefix-property (eg. with special end-symbol). Let P be the set of (encodings of) all syntactically correct programs which halt. is then defined as:

    One can prove that (1) equals the probability that a randomly produced bit string will encode a halting program, (2) there is no algorithm which produces the digits of .


    Symbol Manipulation Systems

    vocabulary
    (lexicon)
    formation
    rules
    transformation rules axioms additional rules
    (non-symbolic?)
    Formalized Language + + rules of logical inference ± semantic rules
    Calculus + + + ± -
    - Logistic system / logical calculus + + rules of logical inference ± -
      in particular, deductive system + + modus ponens + others ± -
      · axiomatic system + + -"-
    (derivable from axioms called "theorems")
    + -
    1st o. predicate calculus
    + finite -"- (finitely many) (in)finitely many -
    Gentzen's System LK
    + + -"- + -
      · natural deduction system + + -"- - -
    Gentzen's System NK
    + + -"- - -
    propositional calculus
    + + -"- - -
    - Computational calculus + + evaluation rules
    (untransformables are called "values")
    - -
      · Lambda calculus + + function application - -
    Grammar (natural language) + PS-rules± ? morphophonetic/ -graphemic rules
    - Transformation grammar + PS-rulesT-rules ? -"-
    Formal Language + + - - -
    (Without transformation rules it is not a symbol manipulation system!)

    "Logistic" systems (Logical calculi) and Formalized languages. Alonzo Church: «We distinguish between a logistic system and a formalized language [>] on the basis that the former is an abstractly formulated calculus for which no interpretation is fixed, and thus has a syntax but no semantics; but the latter is a logistic system together with an assignment of meanings to its expressions.
    As primitive basis of a logistic system is suffices to give, in familiar fashion: (1) The list of primitive symbols or vocabulary ... (together usually with a classification ... into categories, which will be used in stating the formation rules and rules of inference). (2) The formation rules, determining which finite sequences of primitive symbolsare to be well-formed expressions, determining certain categories of well-formed of well-formed expressions - among which we shall assume that at least the category of sentences is included -, and determining ... which occurrences of variables in a well-formed expression are free occurences and which are bound occurences. (3) The transformation rules or rules of inference, by which from the assertion of certain sentences (the premisses, finite in number) a certain sentence (the conclusion) may be inferred. (4) Certain asserted sentences, the axioms.

    «In order to obtain a formalized language it is necessary to add, to these syntactic rules of the logistic system, semantical rules assigning meanings (in some sense) to the well-formed expressions of the system» [AESA, continue AESA quotes on formalized languages].

    «The "theorems" of the system are all the formulas, including the axioms, which can be derived from the axioms by applying the transformation rules. A "proof" consists of a finite sequence of legitimate formulas, each of which is either an axiom or is derivable from preceding formulas in the sequence by the transformation rules» [GP 90].

    "Deductive" system. Logistic systems might be classified according to (the meaning or form? of) its transformation rules, and thus according to the modes of inference [>] they formalize: deduction, reduction/induction, abduction. Deductive systems include the modus ponens rule (or an equivalent rule).

    Axiomatic system. «[A] deductive system is an axiomatic system if it contains axioms, a natural deduction system if it does not» [x].

    Calculus. «A calculus is a formal language and rules for manipulating expressions of the language. For example, by applying algorithms to arabic numerals one can determine the values of arithmetical functions. A logical calculus is used to construct valid arguments. It can be described as the syntax of a logic where syntax has to do only with the shapes and structure of expressions, not their meanings» [x].
    If we look at Gentzen's Sequent Calculus, we see that a calculus can include axioms.
    Calculi may be classicified according to the meaning of their symbols into logical calculi (the same as Church's "logistic systems"), arithmetic calculi, etc.

    Transformation grammar [EML 259]. A grammar whose syntax component is split into

    1. The formation rules of a transformation grammar, called PS-rules, belong to the ``base component'' or ``phrase-structure component.'' PS-rules (a) capture the language's deep structure and (b) are formalized as context-senstive rules of a phrase-structure grammar. The grammar's terminal strings are called kernel strings [EML 260].
    2. The transformation rules of a transformation grammar, called T-rules, belong to the ``transformational component.'' T-rules transform deep structure into surface structure, eg., active->passive, ...
    more -> linguistic glossary

    Notations for Symbol Manipulation Systems

    Post Systems. «Deductive systems [or more generally, logistic systems and cacluli] are rarely presented as grammars; they are more often given as Post systems, named after Emil Post, who first used them» [Stansifer, p62]. A Post system is a general symbolic inference system in which, obviously, deduction and reduction could be expressed: «A Post system consists of a list of signs, a list of variables, and a finite set of productions. ... A term is a string of signs and variables, ... and a production is a figure of the form
    t1   t2   ...   tn
    t
    where t, t1 ... tn are all terms. The ti are called the premises and t the conclusion of the production. A production without premises (n=0) is called an axiom. An instance of a production is obtained from a production by substituting strings of signs for all the variables, the same string being substituted for all occurences of one and the same variable.
    » [Stansifer, p62]
    Ulf Schünemann 030703