The act of understanding uncertainty is consciousness

Poznanski, Roman; Holmgren, Jan; Cacha, Lleuvelyn; Alemdar, Eda; Brandas, Erkki

doi:10.56280/1575836389

Cited by 3 publications

(9 citation statements)

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“…However, this represents the computational fallacy of AI, which evolves to form contextual information referred to as semantic information and is used in data labeling. The evolution process, we claim, is the structuring of intrinsic information (Poznanski, 2024a). This procedure of encoding intrinsic information is bypassed in deep learning algorithms.…”

Section: The "Encoding" Process In Terms Of Functional Interactionsmentioning

confidence: 96%

“…Can the artificial NNs be changed to incorporate this requirement? When informational levels are multilevel redundancy structures, unique holarchical modularity can form (Poznanski, 2024a). From the perspective of multiscale neuroscience, dynamic brain organization is holarchical in that each scale is inter-connected, not necessarily integrated, but massively modular, resulting in a modular holarchy.…”

Section: Machine Understanding Inspired By Irreducible Organicitymentioning

confidence: 99%

“…Consciousness is not a categorical but a functional property within functionality since the subtle unity of consciousness depends on functional relations within the functional domain or functionality space that can describe the qualitative nature of time consciousness (Poznanski, 2024a). For a discrete flood of random moments of consciousness-in-the-moment to have any impact, the process must be negentropically entangled so that a weakly unified consciousness arises from intentionality or conscious choices.…”

Section: Passage Along Information Pathways Of Negentropic Actionmentioning

confidence: 99%

“…Examples of diachronic boundary conditions are physiological/ biophysical/atomic structures that affect the dynamic state of brains across scales. It is too difficult to visualize, so it is best to keep structural complexity implicit through changeable boundary conditions and focus on the functional structure embedded in the "functionality space" of time consciousness (Poznanski, 2024a).…”

Section: Information Redundancy Across Scale Due To Diachronic Bounda...mentioning

confidence: 99%

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‘Quantum of information’ functionality as a measure of subjectivity beyond the capabilities of deep learning

Parida,

Alemdar,

Poznanski

2024

J. Multiscale Neurosci.

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The potential of conscious artificial intelligence (AI), with its functional systems that surpass automation and rely on elements of understanding, is a beacon of hope in the AI revolution. The shift from automation to conscious AI, once replaced with machine understanding, offers a future where AI can comprehend without needing to experience, thereby revolutionizing the field of AI. In this context, the proposed Dynamic Organicity Theory of consciousness (DOT) stands out as a promising and novel approach for building artificial consciousness that is more like the brain with physiological nonlocality and diachronicity of self-referential causal closure. However, deep learning algorithms utilize "black box" techniques such as “dirty hooks” to make the algorithms operational by discovering arbitrary functions from a trained set of dirty data rather than prioritizing models of consciousness that accurately represent intentionality as intentions-in-action. The limitations of the “black box” approach in deep learning algorithms present a significant challenge as quantum information biology, or intrinsic information, is associated with subjective physicalism and cannot be predicted with Turing computation. This paper suggests that deep learning algorithms effectively decode labeled datasets but not dirty data due to unlearnable noise, and encoding intrinsic information is beyond the capabilities of deep learning. New models based on DOT are necessary to decode intrinsic information by understanding meaning and reducing uncertainty. The process of “encoding” entails functional interactions as evolving informational holons, forming informational channels in functionality space of time consciousness. The “quantum of information” functionality is the motivity of (negentropic) action as change in functionality through thermodynamic constraints that reduce informational redundancy (also referred to as intentionality) in informational pathways. It denotes a measure of epistemic subjectivity towards machine understanding beyond the capabilities of deep learning.

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Section: The "Encoding" Process In Terms Of Functional Interactionsmentioning

confidence: 96%

Section: Machine Understanding Inspired By Irreducible Organicitymentioning

confidence: 99%

Section: Passage Along Information Pathways Of Negentropic Actionmentioning

confidence: 99%

Section: Information Redundancy Across Scale Due To Diachronic Bounda...mentioning

confidence: 99%

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‘Quantum of information’ functionality as a measure of subjectivity beyond the capabilities of deep learning

Parida,

Alemdar,

Poznanski

2024

J. Multiscale Neurosci.

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“…The Dynamic Organicity Theory (DOT), proposed by Poznanski (2024), has been described in a comprehensive review of consciousness landscapes (Kuhn, 2024) as a quantum biological theory based on type-B materialism (Chalmers, 2003), where consciousness is a physical process, and epistemic objectivism alone does not define physicalism (Shand, 2021).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2024

J. Multiscale Neurosci.

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The Dynamic Organicity Theory (DOT) explains consciousness as a process that cannot be reduced to a thing or a structure. This process, called the Polanyian process, involves the evolving diachronic boundary conditions of our experienceability. These boundary conditions are ontologically intertwined with higher-level boundary conditions, which lead to physiological nonlocal cause-and-effect relationships. Thus, adaptive changes occur when self-referential causal closure transforms syntactic structures into experienceable forms. Self-referential causal closure is a causal agent for diachronic boundary conditions that majorly structure intrinsic information in ways that experienceabilities are across time, suggesting that consciousness is not driven by an "internal clock" or regular biological rhythm but rather by intrinsic intentionality preceding path selection through a non-mechanical force of hidden thermodynamic energy that cascades to form a volitional agency of information-based action due to the gain of hidden intrinsic information. The process of transforming syntactical structures to experienceable forms in intrinsic informational pathways is conflated with nonlinear time, and its structuring defines the functionality of the brain. Consciousness-in-the-moment is an "averaging out" between different informational pathways involved across such nonlinear time. The transduction of quantum potential information as negentropic action is a motif for "potential complexity" to decrease the maximum complexity (derived from the brain structure, dynamics, and function) due to the reduction of uncertainty. Given that the functionality of maximum complexity lacks the self-referential causal closure to be a volitional agent needed for precognitive consciousness, it is proposed that negentropic entanglement unifies experienceabilities so that the functionality of multiscale complexity is greater than the functionality of maximum complexity. This may be enough to produce consciousness in organic systems.

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