Perhaps it to attempt to attain passadhi (samatha) through vipassana is putting the cart before the horse. Or rather a different kind of insight is called for as a foundation. Yoga citta vrtti nirodha. Understanding the relationship between consciousness and the body - and the existence of a middle subtle body-consciousness field which carries the feedback interaction between both (the neuro-muscular aspect is important). The unified field has some analogy the solutions of Klein-Gordon and Dirac equations (Dirac was perhaps the greatest physicist of the 20th-century).The models of René Thom come very close to the idea of a field of harmonic oscillators over space-time. The goal of the fundamental stage of TPP is to attain the pax profunda, possibly using psycho-somatic feedback as a support (to dampen or muffle the spectrum of mutually exciting harmonic oscillators). What we ordinarily call 'body' and ordinarily call 'mind' are two complementary modes of the same underlying consciousness-field. It is only in the deep clarity and stillness of the mind-body field that authentic TPC can blossom 孰能濁以靜之徐清. Thus the initial TPC involves perceiving consciousness as an excitation and self-interaction (producing the illusory perception of the individual self) of an underlying psycho-somatic field, and understanding the effective dynamics (and functional stratifications ) and feedback mechanisms to attain the desired goal. This initial TPC is indeed the pure impersonal perceiving of the flux of consciousness as thus, but also the inner first-person experience of the body (i.e. we have nama-rupa): it is also the perception of how the inner body generates a kind of frame of reference or proto-space (proto-topology) for the total sphere of consciousness. Temporality is on one hand transcendent and a condition for thought and consciousness rather than being generated by consciousness, on the other hand it is generated as an illusory excitation. We must find the lost original deeper meaning of Pyrrhonism, regarding belief, thought and agitation - the same underlying TPC insight.
Some things to explore: how can the role of symmetry in physics be transposed to understand the central role of symmetry in consciousness ? And in the symmetries in logic ? Philosophically, how can our theory of a priori computability relate to the obviously rich computational nature implicit in the study of solutions of PDEs ? Radiation, diffusion, harmonic equilibrium. Geometric optics. Singularities of the solutions of PDEs such as the Hamilton-Jacobi equation. Meaning is perhaps described as symmetry invariance in the dynamical system of consciousness.
What are sense and reference ? It seems that we can reconcile psychologism and objectivity by a theory analogous to that of the invariance under group actions used in physics. The conscious content for two different people can differ, but the contents must be related to each other through a well-defined law, a continuous symmetry group, a deformation. Galilean relativity has perhaps an immense overlooked philosophical significance. It shows that objectivity is relational (all inertial frames of reference are equivalent, there is no absolute frame of rest), but not less objective for that. Once the idea of group action and group invariance had been brought to light - in physics as well as geometry - it is the most natural thing in the world to investigate hyperbolic geometry (Gauss, Lobachevsky) in this light. Why is the connection of Minkowski space (the pseudo-sphere) to hyperbolic geometry obscured (obtained by the analogue of the stereographic projection of a sphere)?
In order to develop these ideas we recall a previous note on computational linguistics. Large Language Models such as ChatGPT-3 use high dimensional ($dim V$ = 12,288) vector-space representations of meanings of certain textual units ('tokens'). These are generated from context in large data sets. The idea of having certain semantic 'atoms' (sememes) from which are combinatorically constructed possible meanings can be found for instance in Greimas (cf. Osgood's semantic differential for studying the variation of connotation across different cultures). Some (such as René Thom) have claimed that the idea that meaning should have a continuous, geometric aspect is found in Aristotle. Leibniz' characteristica used 'primitive terms' but it is not clear if they are combined in a simple algebraic, combinatorical or mereological way, or if complex logical expessions must be involved (or associated semantic networks). But in embedding matrices we have what would seem to be a quantification of meaning, each 'sememe' is given a 'weight' which determines its geometric relation to other meaning-vectors in a crucial way (the weights cannot be dismissed as probabilistic or 'fuzzy' aspects). To us this would correspond to the 'more-or-less' aspect of species in Aristotle. A very interesting aspect of embedding matrices is how they capture analogy through simple vector operations. This suggests another possible formalization of Aristotelian 'difference' , the same difference operating on two different genera. We get a notion of semantic distance and semantic relatedness. This also revindicates Thom's perception of geometry and dynamics in the spaces of genera.
Some questions to ask: are these token-meaning-vectors linearly independent ? If not can we work with a chosen basis ? If the token is ambiguous is the corresponding vector a kind of superposition of possible meanings, as in quantum theory ? How are we to understand the idea of the meaning of complex expressions being linear combinations of the meaning representations of the tokens occuring in the expression ? It would of course be interesting to analyze these questions relative to the other fundamental components of LLMs (attention in transformers, multi-layer perceptrons) - even if these are more practically oriented rather than reflecting actual linguistic and cognitive reality.
Suppose we are given a large text $T$ generated by a set of words $W$ and a context window $S$ of size $n$. Suppose we wished to represent the elements of $W$ as vectors of some vector space $V$ in such a way that given $v,w \in W$ the modulus of the inner product $|\langle v,w\rangle|$ gives the probability of the two words being co-occurrent in contexts S. Consider the situation: it is very rare for words $s_1$ and $s_2$ to co-occur but words $s_1$ and $s_3$ co-occur sometimes as do $s_2$ and $s_3$. But there is also a word $s_4$ which never co-occurs with $s_3$ but has the same co-occurrence frequencies with $s_1$ and $s_2$ as does $s_3$. Then it is easy to see that there is no way to represent $s_1$,$s_2$,$s_3$,$s_4$ in the same plane in such a way that these properties are expressed by the inner product. Thus the dimension must go up by one value. We can define the geometric $n$-co-occurence dimension as the minimal dimension of a vector space adequate to represent co-occurrence frequencies by an inner product. We can ask what happens as $n$ increases, does the geometric dimension also increase (and in what manner) or does it stabilize after a certain value ?
Thus we can think of different people as having semantic vector spaces which must be related in a well-defined way and in such a way that the semantic information remains coherent. Thus the mental content of the term 'horse' for Alice and Bob may be quite different, but each is related to the other through a kind of continuous deformation related to some structure contrasting the background of Alice and Bob. Thus we need to define a kind of relation space for contrasting and comparing different subjects - and in such a way that we have a representation of the algebraic structure of this space in terms of continuous deformations of mental content.
René Thom proposed that concepts were analogous to living beings and that mathematical models of the regulation structures of living beings could be applied to concepts themselves. This is kind of obvious for natural kinds and not very clear for other kinds of concepts. We need a very different approach. We need to understand representation, the subject's mental and yet objectified representation of the world. The question: what is a world ? Software engineering and the structure of Object Oriented software aiming at creating virtual worlds (such as Unreal Engine 5, Unity or in general RPG games - we are thinking here only of the classical ones such as the Ocarina of Time which were also works of art besides sophisticated puzzles) including automated agents are of some interest though with great limitations. Generative AI is likely to be followed by more sophisticated models which can train in real-time. The run-time process structure of operating systems is also important. The irony here is that these approaches become more interesting once we discard neuro-reductionism - once we abandon the pointless attempt to view the brain as the hardware of the mind. The central hardware of the mind is to be sought elsewhere, the brain itself is a kind of auxiliary cache.
There is much analogy between the structure of a computer program and that of a novel.
To obtain a mathematical understanding of consciousness we must first bridge the gap between mathematical models of nature and computer systems.
Also we need to take into account altered or higher states and modes of conscious experience (once toxic and falsified approaches to spiritual life have been discarded, everything which hides the truth that the royal path to deification consists in a pure spiritual love for a real person.
Tanto gentile e tanto onesta pare la donna mia, quand'ella altrui saluta, ch'ogne lingua deven tremando muta, e li occhi no l'ardiscon di guardare. Ella si va, sentendosi laudare, benignamente d'umiltà vestuta; e par che sia una cosa venuta da cielo in terra a miracol mostrare. Mòstrasi sì piacente a chi la mira, che dà per li occhi una dolcezza al core, che 'ntender no la può chi non la prova: e par che de la sua labbia si mova un spirito soave pien d'amore, che va dicendo a l'anima: «Sospira!»
Do these higher states of consciousness possess a geometry, a topology, a semantics ? It is curious, how many Henads are there is Proclus' system ? Or does cardinality itself not apply to them ?
Also the entire discipline of lexicology needs to be reformed. Indeed what was the ancient project of the classification and division into genera and species but a lexicological program ? We need to greatly clarify the insight involved in defining a term by its context. It is not only that we need to know the meaning of words to understand a narrative but also narratives themselves give meaning to words. Being multilingual and practicing translation offers unique insight into the pure semantic universe.
Maybe natural language is a kind of super-mathematics which contains ordinary mathematics as a special case. It is presumptuous to ridicule the concept of an 'ideal language'. Learning other languages and in particular ancient languages is surely on the path of wisdom. In natural language we cannot in general define lexemes in the way we define mathematical or scientific concepts (and the ancient theory of genera and species must have been derived from Euclidean mathematics, law and medicine). This is polymorphism. Meaning is in an inseparable feedback loop with life and experience, depending on whether we are engaging in solitary discourse or on which person we are conversing with.
Naive dictionaries with obvious circularity in definitions should not be despised as non-scientific. Rather this expresses something profound about polymorphism, the circulation, the flow, the dynamics of meaning. Instead of a oriented tree we have a directed graph with cycles. There is an analogy with commutativity and non-commutativity. Meaning circulates like a living current or flow through the whole web or tapestry of language.
Even for mathematical concepts we gain a deeper understanding or apprehension of them through practice, through exercises, through reading proofs in which they are applied. There are degrees of aprehension - or degrees of meaning ? Formal logic acts as an ultimate arbiter which rarely needs to act, mathematicians with distinct intuitions and apprehensions of a given mathematical concept generally can agree that their concepts are 'the same'.



