scholarly journals .The superdeterministic destiny, and its mathematical models within the neural network

2020 ◽  
Author(s):  
Xiaoyang Yu

The physical interactions among any number of elementary particles are governed by Schrodinger equation. The universe is a superdeterministic state machine which is formed by elementary particles. Mind’s “center stage”, which is a component of the mind, is imagined to exist as a real-time representation of all the elementary particles within the universe; the “center stage” only includes the physical objects perceived in the mind. A naïve cognitive researcher might incorrectly treat her mind’s “center stage” as the real world. It’s possible that the “center stage” doesn’t exist like “the ghost in the machine”. Otherwise, this “center stage” shouldn’t be able to impact the world line of any elementary particle. So, the human body is merely a fuzzy set of elementary particles, no matter the “center stage” really exist or not. The precondition of the “hard problem” of consciousness makes a mistake. Proving the precondition of the “hard problem”, is a “harder problem” of consciousness. The “harder problem” can’t be proved empirically. The conscious experience is actually the use of a mathematical model by a neural network within its low-level calculation. For example, when a neural network uses its 3D model of the reality, it feels like the subjective experience of being immersed within a topological structure.

2020 ◽  
Author(s):  
Xiaoyang Yu

Physical interactions among any number of elementary particles (EPs) are governed by physical laws (e.g., the Schrodinger equation). Let’s call the superdeterministic state machine which is formed by the world lines of all EPs the destiny. To a human neural network, the reality is a snapshot of the destiny. What a neural network perceives/predicts, is not the destiny itself (but a mathematical model (MM) of the destiny), but it is incorrectly treated by this neural network as the destiny, when this neural network deals with everyday challenges. The subjective experience is actually the use of a MM by a neural network within its low-level calculation. For example, when a neural network uses its geometric model of the destiny (GMD), it feels like the subjective experience of being immersed within a topological structure. The GMD, which is a component of the mind, is a real-time representation of all the EPs within the universe; the GMD only includes the physical objects perceived in the mind. A naïve cognitive researcher might incorrectly treat her GMD as the real world. A neural network can use its GMD. Using the semantics of human language, the use of GMD is described as subjectively experiencing the GMD. It’s possible that a neural network can’t subjectively experience its GMD. Otherwise, its subjective experience shouldn’t be able to impact the actual world line of any EP within this universe.


2020 ◽  
Author(s):  
Xiaoyang Yu

Physical interactions among any number of elementary particles (EPs) are governed by physical laws (e.g., the Schrodinger equation). Let’s call the predetermined state machine which is formed by the predetermined world lines of all EPs the destiny. To a human neural network, the reality is a snapshot of the destiny. What a neural network perceives/predicts, is not the destiny itself (but a mathematical model (MM) of the destiny), but it is incorrectly treated by this neural network as the destiny, when this neural network deals with everyday challenges. The subjective experience is actually the use of a MM by a neural network within its low-level calculation. For example, when a neural network uses its geometric model of the destiny (GMD), it feels like the subjective experience of being immersed within a topological structure. The GMD, which is a component of the mind, is a real-time representation of all the EPs within the universe; the GMD only includes the physical objects perceived in the mind. A naïve cognitive researcher might incorrectly treat her GMD as the real world. A neural network can use its GMD. Using the semantics of human language, the use of GMD is described as subjectively experiencing the GMD. It’s possible that a neural network can’t subjectively experience its GMD. Otherwise, its subjective experience shouldn’t be able to impact the predetermined world line of any EP within this universe.


2020 ◽  
Author(s):  
Xiaoyang Yu

Physical interactions among any number of elementary particles (EPs) are governed by physical laws (e.g., the Schrodinger equation). Let’s call the predetermined state machine which is formed by the predetermined world lines of all EPs the destiny. To a human neural network, the reality is a snapshot of the destiny. What a neural network perceives/predicts, is not the destiny itself (but a mathematical model (MM) of the destiny), but it is incorrectly treated by this neural network as the destiny, when this neural network deals with everyday challenges. The subjective experience is actually the use of a MM by a neural network within its low-level calculation. For example, when a neural network uses its geometric model of the destiny (GMD), it feels like the subjective experience of being immersed within a geometric structure. The GMD, which is a component of the mind, is a real-time representation of all the EPs within the universe; the GMD only includes the physical objects perceived in the mind. A naïve cognitive researcher might incorrectly treat her GMD as the real world. A neural network can use its GMD. Using the semantics of human language, the use of GMD is described as subjectively experiencing the GMD. It’s possible that a neural network can’t subjectively experience its GMD. Otherwise, its subjective experience shouldn’t be able to impact the predetermined world line of any EP within this universe.


2021 ◽  
pp. 320-342
Author(s):  
Valia Allori

Quantum mechanics is a groundbreaking theory: it not only is extraordinarily empirically adequate but also is claimed to having shattered the classical paradigm of understanding the observer-observed distinction as well as the part-whole relation. This, together with other quantum features, has been taken to suggest that quantum theory can help one understand the mind-body relation in a unique way, in particular to solve the hard problem of consciousness along the lines of panpsychism. In this chapter, after having briefly presented panpsychism, Valia Allori discusses the main features of quantum theories and the way in which the main quantum theories of consciousness use them to account for conscious experience.


2020 ◽  
Author(s):  
Xiaoyang Yu

In the universe, the physical interactions among any number of elementary particles, are strictly controlled by physical laws. So, the physical activity of any elementary particle, is strictly controlled by physical laws. So, the physical activity of any elementary particle, is inevitable. Any physical object, is a set of elementary particles. So, the physical activity of any physical object, is inevitable. So, every physical event is inevitable. A person has no control even over her choices. Her choices are controlled by the neural substrate. The neural substrate is controlled by the physical laws. So, her choices are controlled by the physical laws. So, she is powerless to do anything other than what she actually does. The “internal story” is called “conscious experience” in common language; the so-called “hard problem” of consciousness is solved.


2012 ◽  
Vol 117 (3) ◽  
pp. 455-462 ◽  
Author(s):  
Harutomo Hasegawa ◽  
Graham A. Jamieson ◽  
Keyoumars Ashkan

Neurosurgery has played an important role in the development of neuroscience and the science of consciousness. In this paper, the authors reflect on some of the historical contributions of neurosurgeons to the science of consciousness and discuss the ways in which clinical neurosurgery can contribute to the science of consciousness in the 21st century. An approach to the “hard problem” is proposed based on the principles of psychophysics, and the opportunities offered by intracranial recording and stimulation in patients capable of reporting changes in subjective experience are discussed. Such an approach will allow the systematic study and description of the bridging relationships between neurobiology and conscious experience.


Author(s):  
Marcello Massimini ◽  
Giulio Tononi

This chapter uses thought experiments and practical examples to introduce, in a very accessible way, the hard problem of consciousness. Soon, machines may behave like us to pass the Turing test and scientists may succeed in copying and simulating the inner workings of the brain. Will all this take us any closer to solving the mysteries of consciousness? The reader is taken to meet different kind of zombies, the philosophical, the digital, and the inner ones, to understand why many, scientists and philosophers alike, doubt that the mind–body problem will ever be solved.


2021 ◽  
Author(s):  
Xiaoyang Yu

Humans are limited in what they know by the technical limitation of their cortical language network. A reality is a situation model. The universe is a collection of self-driven mathematical entities. If we are happy to accept randomness, it’s obviously possible that all other so-called “worlds” in the many-worlds interpretation don’t exist objectively. The so-called “physical interaction” (aka objective interaction) among any number of elementary particles is consistent with the so-called “physical law”. From the viewpoint of an imagined external observer (who is located somewhere outside of all worlds), in all worlds, every self-driven elementary particle is changing its state to match its fated state, together form a single fated self-driven state machine; the so-called “subjective reality” (aka the so-called “subjective conscious experience”) is actually the use of a mathematical model (MM) by a Turing machine (TM). The so-called “subjective reality” shouldn’t be able to alter/impact the fated world line of any elementary particle within this world. Except one objective MM which is a fitted MM of the objective reality, every other causality is not an objective MM but a Granger causality, and is an under-fitted MM of the objective reality.


2002 ◽  
Vol 1 (1) ◽  
pp. 85-96 ◽  
Author(s):  
Syed Mustafa Ali

In this paper, the possibility of developing a Heideggerian solution to the Schizophrenia Problem associated with cognitive technologies is investigated. This problem arises as a result of the computer bracketing emotion from cognition during human-computer interaction and results in human psychic self-amputation. It is argued that, in order to solve the Schizophrenia Problem, it is necessary to first solve the ‘hard problem’ of consciousness since emotion is at least partially experiential. Heidegger’s thought, particularly as interpreted by Hubert Dreyfus, appears relevant in this regard since it ostensibly provides the basis for solving the ‘hard problem’ via the construction of artificial systems capable of the emergent generation of conscious experience. However, it will be shown that Heidegger’s commitment to a non-experiential conception of nature renders this whole approach problematic, thereby necessitating consideration of alternative, post-Heideggerian approaches to solving the Schizophrenia Problem.


Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1073 ◽  
Author(s):  
Jake R. Hanson ◽  
Sara I. Walker

Any theory amenable to scientific inquiry must have testable consequences. This minimal criterion is uniquely challenging for the study of consciousness, as we do not know if it is possible to confirm via observation from the outside whether or not a physical system knows what it feels like to have an inside—a challenge referred to as the “hard problem” of consciousness. To arrive at a theory of consciousness, the hard problem has motivated development of phenomenological approaches that adopt assumptions of what properties consciousness has based on first-hand experience and, from these, derive the physical processes that give rise to these properties. A leading theory adopting this approach is Integrated Information Theory (IIT), which assumes our subjective experience is a “unified whole”, subsequently yielding a requirement for physical feedback as a necessary condition for consciousness. Here, we develop a mathematical framework to assess the validity of this assumption by testing it in the context of isomorphic physical systems with and without feedback. The isomorphism allows us to isolate changes in Φ without affecting the size or functionality of the original system. Indeed, the only mathematical difference between a “conscious” system with Φ > 0 and an isomorphic “philosophical zombie” with Φ = 0 is a permutation of the binary labels used to internally represent functional states. This implies Φ is sensitive to functionally arbitrary aspects of a particular labeling scheme, with no clear justification in terms of phenomenological differences. In light of this, we argue any quantitative theory of consciousness, including IIT, should be invariant under isomorphisms if it is to avoid the existence of isomorphic philosophical zombies and the epistemological problems they pose.


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