1A formal model of metaphor is introduced. It models metaphor, first, as an interaction of “frames” according to the frame semantics, and then, as a wave function in Hilbert space. The practical way for a probability distribution and a corresponding wave function to be assigned to a given metaphor in a given language is considered. A series of formal definitions is deduced from this for: “representation”, “reality”, “language”, “ontology”, etc. All are based on Hilbert space. A few statements about a quantum computer are implied: The so-defined reality is inherent and internal to it. It can report a result only “metaphorically”. It will demolish transmitting the result “literally”, i.e. absolutely exactly. A new and different formal definition of metaphor is introduced as a few entangled wave functions corresponding to different “signs” in different language formally defined as above. The change of frames as the change from the one to the other formal definition of metaphor is interpreted as a formal definition of thought. Four areas of cognition are unified as different but isomorphic interpretations of the mathematical model based on Hilbert space. These are: quantum mechanics, frame semantics, formal semantics by means of quantum computer, and the theory of metaphor in linguistics.
The presentation also as a PDF or a video as well as slides @ EasyChair
The paper as a PDF or a video; furthermore as an item @ EasyChair or @ SocArxiv, or @ PhilPapers
The paper is published in Proceedings of the 41st Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, ISBN 978-1-5108-0386-2, pp. 187-194. The published paper @ Sematic Scholar or as a PDF
Appendix:
A Model of Causal and Probabilistic Reasoning in Frame Semantics
The thesis of the talk is fourfold: (1) Probabilistic reasoning can be seen as the interaction of at least two frames in a sense of frame semantics. (2) Then causal reasoning can be interpreted as the particular case of zero interaction between the frames. (3) In turn, this allows of the frames to be interpreted formally as correspondingly “reality” and the “image of reality”, and language as an (even one-to-one) mapping between those two universal and formal frames of “reality” and its “image”. (4) Probabilistic reasoning can be further represented formally as the “entanglement” of two or more frames and thus in terms of quantum information.
A few terms need some specification, namely: “frame semantics”, “frame” “formal semantics”, “entanglement”, “quantum information”, and “quantum computer”: “Frame semantics” is meant in the sense of Charles J. Fillmore: “Frame semantics offers a particular way of looking at word meanings, as well as a way of characterizing principles for creating new words and phrases, for adding new meanings to words, and for assembling the meanings of elements in a text into the total meaning of the text” [1: 111].
“Frame”: “The idea is that people have in memory an inventory of schemata for structuring, classifying and interpreting experiences, and that they have various ways of accessing these schemata and various procedures for performing operations on them” [2: 25]. “By the term ‘frame’ I have in mind any system of concepts related in such a way that to understand any one of them you have to understand the whole structure in which it fits ...” [1: 111]. The “frame” already linked to formal semantics is specified as a set of well-orderings referring to something as its “logic”, in which any property, relation, part or feature of that something can be understood by somebody or by a group. Consequently, that formal and semantic “frame” means the relation between the wholeness of that something and the “logic” of it as a collection of well-orderings.
“Formal semantics” is a term used both in logic and in linguistics but in partially different meanings.
The common is the utilization of mathematical and logical models. However, the logical “formal
semantics” addresses the natural entailment in language in terms of logical sequence while the linguistic “formal semantics” discusses rather the correspondence both of linguistic units and the wholeness of texts to reality in terms of mathematical mappings, set theory, and logic.
“Entanglement” is a term in quantum mechanics, meaning the information interaction between twoor more quantum systems and thus being fundamental for the theory of quantum information.
The formal and mathematical definition of “entanglement” as that Hilbert space, which cannot be factorized to any tensor product of the Hilbert spaces of subsystems, allows of the term to be generalized to any model utilizing Hilbert spaces. For the formal and semantic model used here is based on Hilbert space(s), the concept of entanglement is applicable. It is the mathematical base for the model of probabilistic reasoning.“Quantum information” is a term initially coined by quantum mechanics to describe the base of a generalized kind of information underlying all quantum mechanics. Quantum information can be interpreted both as transfinite series of bits and as finite or infinite series of qubits. A bit is the elementary choice between two equally probable alternatives, and a qubit (i.e. quantum bit) can be interpreted as the elementary choice among an infinite set of alternatives though it is initially defined in quantum mechanics as the normed superposition of two orthogonal subspaces of Hilbert space. The quantity of information whether classical or quantum is the quantity of the corresponding elementary choices (whether bits or qubits) necessary for transforming a well-ordering to another (both, whether finite or transfinite). Thus quantum information can be interpreted as the quantity of elementary choices necessary to transform a frame into another and consequently the information of a probabilistic reasoning formalized as above.
“Quantum computer” [3, 4, 5] is a mathematical model involved by quantum mechanics to interpret
its formalism as a generalized kind of calculation, processing quantum information. Thus all physicalstates and processes may be also seen as computational.
The argumentation for the thesis:
(1) Probabilistic reasoning can be understood as the appearance of a new frame by interaction of two
or more initial frames for some essential part of each of them is shared by all. Thus the understanding of each of them separately generates immediately the understanding of the probabilistic reasoning as a new whole demonstrating therefore the appearance of a new frame, which is not the simple additivity of the sub-frames composing it. The set of well-orderings formalizing semantically a frame can be substituted by a point of Hilbert space, and interpreted as a wave function of a quantum system. Any possible frame is measurable as a single value of quantum information. Then the probabilistic reasoning will be interpretable as the entanglement of the quantum systems corresponding to each sub-frame composing it.
(2) Causal reasoning can be interpreted after that as a particular and borderline case of probabilistic
reasoning, a “zero” probabilistic reasoning, or just the simple additivity of the sub-frames composing
them. The corresponding “wave functions” are orthogonal to each other and there is no entanglementbetween them.
(3) Language is reduced to an infinite countable set (A) of its units of meaning, either words or
propositions, or whatever others. It includes all possible meanings, which can be ever expressed in the language rather than the existing till now, which would always a finite set. The external twin of reality is introduced by another set (B) such that its intersection with the above set of language to be empty. The union of them (C=A∪B) exists always so that a one-to-one mapping (f: C↔A) should exist under the condition of the axiom of choice. The mapping (f) produces an image (B (f)) of the latter set (B) within the former set (A). That image (B (f)) serves as the other twin of reality to model the reality within the language as the exact causal reasoning of the reality out of language (modelled as the set B). In the model, the necessity and sufficient condition of that causal reasoning between reality both within and out of the language is just the axiom of choice: If the axiom of choice does not hold, the relation between the sets B (f) and B cannot be defined rigorously as an exact causal reasoning but rather as some simile and the vehicle between the two twins of reality can be only probabilistic reasoning.
(4) Probabilistic reasoning formalized as above is representable as the wave function of the frame
compounded by two or more sub-frames, which interact between each other by means of the shared
nonzero intersection. The quantity of quantum information of a probabilistic reasoning is different from that quantity of the corresponding causal reasoning. Thus the probabilistic reasoning demonstrates the entanglement of the composing sub-frames after they have been formalized as points in Hilbert space.
One can utilize the picture of the maximal frame, in which are chosen two positions as two points.
Furthermore, the proposition connects them by a single “classical trajectory” while, the metaphor does the same by all possible trajectories, each of which is differently probable. Any understanding chooses only one of them. The analogy to the Feynman interpretation of quantum mechanics [6, 7, and 8] is obvious. It addresses further the idea for the mathematical formalism of quantum mechanics to be only adapted to the relevant terms of frame semantics. Indeed any measurement in quantum mechanics corresponds to a given understanding of what the metaphor mean. The metaphor unlike any proposition does not predetermine how it should be understood, however it defines implicitly a “wave function” of all possible understandings as the set of pathways, in any of which it can be interpreted equally justifiably.
References:
[1] C. Fillmore (1982) "Frame semantics," in: Linguistics in the Morning Calm. Linguistic Society of Korea (Ed.) Hanshin, Soeul, Korea, pp. 111-137.
[2] C. Fillmore (1976) "Frame semantics and the nature of language," in: Origins and Evolution of Language and Speech (S. R. Harnad, H. D. Steklis, J. B. Lancaster, eds.) (Annals of the NY Academy of Sciences, Vol. 280) New York Academy of Sciences, New York, USA, pp. 20-32.
[3] R. Feynman (1982) Simulating Physics with Computers," Innternational Journal of Theoretical Physics 21 (6/7): 467-488.
[4] R. Feynman (1986) "Quantum Mechanical Computers," Foundations of Physics 16 (6): 507-531.
[5] D. Deutsch. (1985) "Quantum Theory, the Church-Turing Principle and the Universal Quantum Computer," Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 400 (1818): 97-117 .
[6] R. Feynman. Space-Time Approach to Non-Relativistic Quantum Mechanics. Reviews of Modern Physics, 20(2): 367-387 (1948).
[7] R. Feynman and F. L. Vernon, Jr. (1963) "The theory of a general quantum system interacting with a linear dissipative system," Annals of Physics (N.Y) 24: 118-173.
[8] R. Feynman; A. R. Hibbs. (1965) Quantum mechanics and path integrals. New York: McGraw-Hill .
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