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Quantum-like Visual Recognition in Mental Degree 2.3 (the external everyday mind)
A sketch of a proposal, v2 Ian Thompson. June 26, 2020 Developed from “Perception in the Mental Degree 2.3”
Introduction
Here we describe the operation principles of vision in a mental degree 2.3 in ways that correspond as much as possible to those of the quantum-physics degree 3.3. The correspondences will result in both similarities and differences which need to be explained.
The basic idea here is that there are wavefunctions in the mind. These however are not physical wavefunctions giving probabilities for the different outcomes of quantum propensities, but they are epistemic wavefunctions giving degrees of belief of specific visual contents. They thus give knowledge probabilities in the same manner as Bayesian inference methods. We will see some differences from Bayesian methods once we allow some non-commuting operators (a well-known feature of ‘Generalized Quantum Theory’ (Basieva, 2016)).
This wavefunction or field in the mind is thus not in the brain or a property of neural events. It is in fact a form of some mental propensity such as the love or desire for seeing. Forms of such a love or desire form their own discrete degree that is distinct from the brain, but the forms are still closely coupled to brain activity by the principles of influx and selection. The mind produces influx into the brain that sustains and creates neural activities there, and the specific resulting neural events (with further inputs from the body and its senses) selects further mental propensities from the initially available alternatives. The fields in the mind are not in physical space but are in their own space for possible actions.
I am going assume a specific mechanism for how the senses create the first sensory field by means of inputs via the visual cortex in the brain. It is described in Appendix A. My main focus now is how, given this ‘sensory sheet’, animals (from insects to humans) are able to recognize objects in 3D space and their actions and possible actions (affordances).
It is the process of recognizing that we need to understand. The ability to recognize an object still functions if the object is moved around, or rotated, some of many possible transformations such as Geometric: translate, rotate, dilate, accelerate, spin,
(but not up-down reflections) Computer vision programs have managed to produce some of these functions, and that might suggest that neural systems in the brain might also succeed. However, the simple invariance of object recognition with respect to rotations, inflations and translations requires convolutional integrals that are not available to neural networks without much more interconnection than is in the brain. The speed of animal object recognition is also a puzzle, given the millisecond time scales of neural propagations (compared to nanoseconds for computers). This article proposes to see whether an explicitly mental scheme could accomplish object recognition on the needed time scale and linked with a plausible complexity of the neural systems in the brain. To guide our theorizing, we look for a scheme using principles corresponding to quantum mechanics with wave-functions, operators (continuous, and projections), superpositions, and probabilities. Such a quantum dynamics has been called Generalized Quantum Theory by Atmanspacher (2006), Filk (2011) and others, though I am treating it not just as a model, but realistically as existing in some mental space.
Mathematical notation and interpretation
The
basic idea of using quantum mechanics as a basis for describing seeing and
beliefs in a mind, is to use a ‘wave function’ or ‘state’ for
Sketch of a Method
We
begin by taking the wave function Our task, therefore, is to find a fast and plausible method for finding patterns in the sensory sheet that can be recognized as ‘objects’ such 2D shapes, 3D objects, or as 4D (3D+time) processes and affordances. There are an enormously large number of such objects, and for each object there are a great many various translation, dilation and rotation (etc) operations by means of which every recognizable object may appear in the visual field. Some of those operations are necessary just for the eye, head and bodily movements that humans themselves initiate, but do not initially change the location of objects in the room that have been recognized. And objects seem to be recognized once they (or something similar) has appeared in past experience, even if the prior expectation of such objects are very small or practically zero. The reliability of the method does have to be 100%, as witnessed by ambiguities, misunderstandings, and known visual paradoxes. It is often capable of being distracted, as witnessed by ‘gorilla in the room’ experiments. In
physical quantum mechanics, the final mechanism of observations is the random
selection of quantum alternatives I
therefore suggest a new kind of ‘projection operator’ appropriate for mental
recognitions. When an object This
is, therefore, to define new projection operators like Such
a ‘fixation equation’ is however still not quite right for vision. By the above
equation, the projection operator Let
us define, therefore, for each object The
recognition now correctly depends on the similarity of visual appearances
according to the overlap integral This can be rewritten so that projection operator appears in the first part of the second term: This
operator effectively broadcasts the knowledge (more details to come). Appendix A: Producing the Sensory Field
A scheme for how the visual field
This scheme requires
1. that whenever any influx occurs, the upper source degree gains some awareness of how successful that influx was in achieving the desire that produced the influx. 2. So: the sensory mind starts of as a combination of all colors red, green, blue (RGB), as in white light from which all can be produced by modifications. 3. the sensory mind generates influx into the visual system (e.g. visual cortex) for each of the 3 colors: R, G and B. 4. the visual cortex accepts that influx according to its input from the color-sensitive cones in the retina. If red is being viewed, then influx of the R-kind is more successful, and so on. 5. So the sensory spiritual gets a lot of information about what combinations of R-influx, G-influx, and B-influx are successful, everywhere in the visual field to which attention is directed. 6.
From that information of various
'success rates', the sensory spiritual generates in itself a mental image of
the visual field as a function
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