Natural computation and non-Turing models of computation

MacLennan, Bruce J.

doi:10.1016/s0304-3975(03)00635-2

Cited by 14 publications

(16 citation statements)

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“…When we apply this choice, avoiding the use of Shannon information, we know that the total information of a system can be encoded in a single observable (for example, the quantum potential) or may be partially encoded in all the complementary partial observable. MacLennan [50,51] wrote two enlightening articles about information and its computation in natural systems. The computation to universal restraint today, certainly the best known, is that of Turing, in which a machine processes numeric data and gives precise answers.…”

Section: The Informational Point Of Viewmentioning

confidence: 99%

From the Quantum to The Macroscopic Level A New Systemic Model for Our Complex System

Diani¹

2020

Preprint

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As a Complex System, our body acts as a whole system connected to the environmental incitements. It is ordered, coherent, tries to maintain the least possible entropy, saving the greatest amount of energy. We can observe its active systemic response to environmental information both when it is healthy and ill. To explain the dynamics of the systemic regulative network a theoretical model is proposed, with a comprehensive approach that allows seeing the entire regulative syste m as a continuous unicuum. The paper analyzes two points of view: 1) the connections between the quantum level and the classical one, through some principles of the QFT and through the Coherence Domains. The system is modeled as a field described by the wa ve function, with synchronous and consistent events, driven in a global computing by the quantum potential Q. The quantum potential implies the non locality, and it needs only ultra weak waves to occur, so it explains how the rapid and global activation of the organism in response to punctiform information work. The initial hypothesis is that some consistent quantum phenomena are amplified through the systemic regulative network until they become macroscopic observable. This is possible because of Coherence Domains. 2) The reactions of the different systemic networks to perturbations/punctiform information, with the first attempt to model and measure information in biology, going beyond the Shannon and Turing theories. Hopfield Networks and an informational point of view are used to address the crucial informational and organizational role of proteins and nucleic acids. With this new frame we could develop innovative therapeutic strategies, and also evolve new experimental way to make our clinical observation more precise.

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Section: The Informational Point Of Viewmentioning

confidence: 99%

From the Quantum to The Macroscopic Level A New Systemic Model for Our Complex System

Diani¹

2020

Preprint

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“…However, computing was and is not limited to digital manipulation of binary input data, since numerous entities exist that can perform the computing analogically if talking about machine entities (e.g. mechanical, electrical, optical, electronic) or biologically if talking about natural entities, such as the neural sensory processing in animals with a central nervous system [175], [176]. Given that in this study we discuss autonomous systems considering the big sensory data they have to process during their normal operation, it is natural to bring into attention mostly the digital computing machines available to date, with a focus on their ability to deal with these data.…”

Section: Computersmentioning

confidence: 99%

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data

Abbass¹,

Leu²,

Kasmarik³

2016

IEEE Access

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Despite the advances made in artificial intelligence, software agents, and robotics, there is little we see today that we can truly call a fully autonomous system. We conjecture that the main inhibitor for advancing autonomy is lack of trust. Trusted autonomy is the scientific and engineering field to establish the foundations and ground work for developing trusted autonomous systems (robotics and software agents) that can be used in our daily life, and can be integrated with humans seamlessly, naturally and efficiently.In this paper, we review this literature to reveal opportunities for researchers and practitioners to work on topics that can create a leap forward in advancing the field of trusted autonomy. We focus the paper on the 'trust' component as the uniting technology between humans and machines. Our inquiry into this topic revolves around three sub-topics: (1) reviewing and positioning the trust modelling literature for the purpose of trusted autonomy; (2) reviewing a critical subset of sensor technologies that allow a machine to sense human states; and (3) distilling some critical questions for advancing the field of trusted autonomy. The inquiry is augmented with conceptual models that we propose along the way by recompiling and reshaping the literature into forms that enable trusted autonomous systems to become a reality. The paper offers a vision for a Trusted Cyborg Swarm, an extension of our previous Cognitive Cyber Symbiosis concept, whereby humans and machines meld together in a harmonious, seamless, and coordinated manner.

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“…The success of digital computers leads to the popular view that brains are complex machines exemplifying the same universal computing principles. There are several alternative hypotheses claiming the existence of computing principles, which go beyond symbol manipulation as postulated by Turing machines, including the operation of brains, analog computation in recurrent neural networks, and general adaptive systems [55][56][57][58]. These questions are related to the limitations of disembodied computing and traditional artificial intelligence (AI) [59][60][61].…”

Section: Towards a Novel Neuropercolation Computing Paradigmmentioning

confidence: 99%

Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation

Kozma

Puljic

2016

Theoretical Computer Science

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Natural computation and non-Turing models of computation

Cited by 14 publications

References 0 publications

From the Quantum to The Macroscopic Level A New Systemic Model for Our Complex System

From the Quantum to The Macroscopic Level A New Systemic Model for Our Complex System

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data

Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation

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