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Gotowe bibliografie tematyczne / Golden mean Turing machine

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Gotowa bibliografia na temat „Golden mean Turing machine”

Autor: Grafiati

Data publikacji: 4 czerwca 2025

Data aktualizacji: 1 sierpnia 2025

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Artykuły w czasopismach na temat "Golden mean Turing machine"

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Scott, Olsen, Marek-Crnjac L., He Ji-Huan, and S. El Naschie M. "A Grand Unification of the Sciences, Arts & Consciousness: Rediscovering the Pythagorean Plato's Golden Mean Number System." Journal of Progressive Research in Mathematics 16, no. 2 (2020): 2888–931. https://doi.org/10.5281/zenodo.3973983.

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In this condensed paper, by combining the insights from E-Infinity theory, along with Plato‘s initiatory insights into the golden section imbedded in his Principles of the One and Indefinite Dyad, David Bohm‘s ontological framework of the superimplicate, implicate and explicate orders, andthe pervasive presence throughout physics, chemistry, biology and cosmology of the golden ratio (often veiled in Fibonacci and Lucas numbers), a profound golden mean number system emerges underlying the cosmos, nature and consciousness. This ubiquitous presence is evident in quantum mechanics, inc

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Poggio, Tomaso, and Ethan Meyers. "Turing++ Questions: A Test for the Science of (Human) Intelligence." AI Magazine 37, no. 1 (2016): 73–77. http://dx.doi.org/10.1609/aimag.v37i1.2641.

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It is becoming increasingly clear that there is an infinite number of definitions of intelligence. Machines that are intelligent in different narrow ways have been built since the 50s. We are entering now a golden age for the engineering of intelligence and the development of many different kinds of intelligent machines. At the same time there is a widespread interest among scientists in understanding a specific and well defined form of intelligence, that is human intelligence. For this reason we propose a stronger version of the original Turing test. In particular, we describe here an open-en

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Trzęsicki, Kazimierz. "Can Ai Be Intelligent?" Studies in Logic, Grammar and Rhetoric 48, no. 1 (2016): 103–31. http://dx.doi.org/10.1515/slgr-2016-0058.

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AbstractThe aim of this paper is an attempt to give an answer to the question what does it mean that a computational system is intelligent. We base on some theses that though debatable are commonly accepted. Intelligence is conceived as the ability of tractable solving of some problems that in general are not solvable by deterministic Turing Machine.

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Akbar Priyo Santosa, Muhammad Reesa, Lubna Mawaddah, and Muhamad Akrom. "Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis." Advance Sustainable Science Engineering and Technology 6, no. 3 (2024): 02403013. http://dx.doi.org/10.26877/asset.v6i3.601.

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Corrosion is an issue that has a significant impact on the oil and gas industry, resulting in significant losses. This is worth investigating because corrosion contributes to a large part of the total annual costs of oil and gas production companies worldwide, and can cause serious problems for the environment that will impact society. The use of inhibitors is one way to prevent corrosion that is quite effective. This study is an experimental study that aims to implement machine learning (ML) on the efficiency of corrosion inhibitors. In this study, the use of the Quantum Support Vector Regres

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Kish, Laszlo B., Claes G. Granqvist, Tamas Horvath, Andreas Klappenecker, He Wen, and Sergey M. Bezrukov. "Bird's-eye view on noise-based logic." International Journal of Modern Physics: Conference Series 33 (January 2014): 1460363. http://dx.doi.org/10.1142/s2010194514603639.

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Noise-based logic is a practically deterministic logic scheme inspired by the randomness of neural spikes and uses a system of uncorrelated stochastic processes and their superposition to represent the logic state. We briefly discuss various questions such as (i) What does practical determinism mean? (ii) Is noise-based logic a Turing machine? (iii) Is there hope to beat (the dreams of) quantum computation by a classical physical noise-based processor, and what are the minimum hardware requirements for that? Finally, (iv) we address the problem of random number generators and show that the com

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Chu, Van Trung, Thuy Linh Nguyen, Ngoc Anh Nguyen, Huu Chien Hoang, Quang Thi Nguyen, and Van Tuan Pham. "EVALUATION OF LAND SUITABILITY FOR MAIN CROPS IN BAC SON DISTRICT, LANG SON PROVINCE USING MACHINE LEARNING AND ARTIFICIAL NEURAL NETWORK MODELS." International Journal of Geography, Social, and Multicultural Education 3, no. 1 (2025): 26–40. https://doi.org/10.26740/ijgsme.v3n1.p26-40.

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This study evaluates land suitability for Golden Tangerine and Paddy Rice cultivation in Bac Son District, Lang Son Province, using Random Forest (RF) and Artificial Neural Network (ANN) models. Environmental factors, such as elevation, slope, aspect, NDVI, distance to streams and roads, rainfall, soil type, soil depth, and soil texture, were used as input variables. The results show that both models effectively assessed land suitability, though their predictive performances differed by crop type. For Golden Tangerine, the ANN model predicted a higher mean suitability value (0.38313) and sligh

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Falcon, Alex, Giovanni D'Agostino, Giuseppe Serra, Giorgio Brajnik, and Carlo Tasso. "A Dual-Stream architecture based on Neural Turing Machine and Attention for the Remaining Useful Life Estimation problem." PHM Society European Conference 5, no. 1 (2020): 10. http://dx.doi.org/10.36001/phme.2020.v5i1.1227.

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Estimating in a reliable way the Remaining Useful Life (RUL) of a mechanical component is a fundamental task in the field of Prognostics and Health Management (PHM). In recent years a greater availability of high quality sensors and easiness of data gathering gave rise to data-driven models based on deep learning for this task, which has recently seen the introduction of "dual-stream" architectures. In this paper we propose a dual-stream architecture to address the RUL estimation problem through the exploitation of a Neural Turing Machine (NTM) and a Multi-Head Attention (MHA) mechanism. The N

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Simon, Jeyasheela Rakkini, and K. Geetha. "Block Mining reward prediction with Polynomial Regression, Long short-term memory, and Prophet API for Ethereum blockchain miners." ITM Web of Conferences 37 (2021): 01004. http://dx.doi.org/10.1051/itmconf/20213701004.

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The Ethereum blockchain is an open-source, decentralized blockchain with functions triggered by smart contract and has voluminous real-time data for analysis using machine learning and deep learning algorithms. Ether is the cryptocurrency of the Ethereum blockchain. Ethereum virtual machine is used to run Turing complete scripts. The data set concerning a block in the Ethereum blockchain with a block number, timestamp, crypto address of the miner, and the block rewards for the miner are explored for K means clustering for clustering miners with a unique crypto address and their rewards. Linear

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Gao, Chenyang, Yahua He , and Yuelin Gao. "A Multi-Strategy Enhanced Hybrid Ant–Whale Algorithm and Its Applications in Machine Learning." Mathematics 12, no. 18 (2024): 2848. http://dx.doi.org/10.3390/math12182848.

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Based on the principles of biomimicry, evolutionary algorithms (EAs) have been widely applied across diverse domains to tackle practical challenges. However, the inherent limitations of these algorithms call for further refinement to strike a delicate balance between global exploration and local exploitation. Thus, this paper introduces a novel multi-strategy enhanced hybrid algorithm called MHWACO, which integrates a Whale Optimization Algorithm (WOA) and Ant Colony Optimization (ACO). Initially, MHWACO employs Gaussian perturbation optimization for individual initialization. Subsequently, in

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Church, Kenneth Ward, and Joel Hestness. "A survey of 25 years of evaluation." Natural Language Engineering 25, no. 06 (2019): 753–67. http://dx.doi.org/10.1017/s1351324919000275.

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AbstractEvaluation was not a thing when the first author was a graduate student in the late 1970s. There was an Artificial Intelligence (AI) boom then, but that boom was quickly followed by a bust and a long AI Winter. Charles Wayne restarted funding in the mid-1980s by emphasizing evaluation. No other sort of program could have been funded at the time, at least in America. His program was so successful that these days, shared tasks and leaderboards have become common place in speech and language (and Vision and Machine Learning). It is hard to remember that evaluation was a tough sell 25 year

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Książki na temat "Golden mean Turing machine"

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Prima. Official Sega Genesis: Power Tips Book, Volume 3. Prima Publishing, 1994.

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Części książek na temat "Golden mean Turing machine"

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Hodges, Andrew. "What Did Alan Turing Mean by “Machine”?" In The Mechanical Mind in History. The MIT Press, 2008. http://dx.doi.org/10.7551/mitpress/9780262083775.003.0005.

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Hodges, Andrew. "What Did Alan Turing Mean by "Machine"?" In The Mechanical Mind in History. The MIT Press, 2008. http://dx.doi.org/10.7551/mitpress/7626.003.0006.

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Wiener, Oswald. "Form and Content in Thinking Turing Machines." In The Universal Turing Machine: A Half-Century Survey. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198537748.003.0028.

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Abstract For purposes of epistemology, the crowning idea in Turing’s work on computability is the conjecture known as the Church/Turing thesis: that every “working” procedure can be formulated in terms of a Turing machine (TM). Does this mean that a mind’s knowledge of a “working” procedure takes the form of a TM or of some equivalent? Introspection clearly supports the hypothesis that understanding natural processes amounts to being capable of simulating them by some “internal” TMs-the clearest indication might perhaps be seen in our arrival at the TM concept itself.

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Trakhtenbrot, Boris A. "Comparing the Church and Turing Approaches: Two Prophetical Messages." In The Universal Turing Machine: A Half-Century Survey. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198537748.003.0027.

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Abstract The search for a precise mathematical characterization of what “algorithm” and “computable function” should mean resulted half a century ago in the discovery of three well-known equivalent approaches. Their chronologicalorder is as follows: λ-definability (Church-Kleene, 1932-34); general recursiveness(Godel-Hetbrand, 1934) and Turing machines (1936).The type-free λ-calculus was conceived by A. Church as a foundation for logic and mathematics, but this aim failed. In spite of this failure Churchrealized that a consistent part of this calculus is a paradigm for computation· in the same

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Muthusamy, Arvindhan, and G. Sakthi. "Multifactor Authentication (MFA), the Golden Lock for Cloud Entry." In Risk-Based Approach to Secure Cloud Migration. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7137-4.ch011.

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Today's increasingly frequent and costly cyber threats underscore the importance of securing machine learning (ML), which can automate reactions to identified risks and decrease the time needed to counteract possible assaults. Steps like separating infected systems and launching predetermined security procedures fall under this category. Machine learning algorithms sift through mountains of data, searching for irregularities that indicate potential security risks. Unusual user activity, malware, and phishing attempt detection are all part of this. To verify identities, ML models examine patter

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Najib, Muhammad, and Giuseppe Perelli. "Synthesis of Reward Machines for Multi-Agent Equilibrium Design." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240807.

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Mechanism design is a well-established game-theoretic paradigm for designing games to achieve desired outcomes. This paper addresses a closely related but distinct concept, equilibrium design. Unlike mechanism design, the designer’s authority in equilibrium design is more constrained; she can only modify the incentive structures in a given game to achieve certain outcomes without the ability to create the game from scratch. We study the problem of equilibrium design using dynamic incentive structures, known as reward machines. We use weighted concurrent game structures for the game model, with

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Dasgupta, Subrata. "A Liminal Artifact of an Uncommon Nature." In It Began with Babbage. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199309412.003.0013.

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The story so far has been a narrative about the development of two very contrasting types of computational artifacts. On the one hand, Alan Turing conceived the idea of a purely abstract and formal artifact—the Turing machine—having no physical reality whatsoever, an artifact that belongs to the same realm of symbols and symbol manipulation, as do mathematical objects. On the other hand, the major part of this narrative has been concerned with a material artifact, the computer as a physical machine that, ultimately, must obey the laws of physics—in particular, the laws governing electromagneti

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Vedral, Vlatko. "Sand Reckoning: Whose Information is It, Anyway?" In Decoding Reality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815433.003.0019.

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In Chapter 9 we discussed the idea of a universal Turing machine. This machine is capable of simulating any other machine given sufficient time and energy. For example, we discussed how your fridge microprocessor could be programmed to run Microsoft Windows, then we described Moore’s logic, that computers are becoming faster and smaller. Therefore, one day, a single atom may be able to simulate fully what a present day PC can do. This leads us to the fascinating possibility that every little constituent of our Universe may be able to simulate any other, given enough time and energy. The Univer

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Streszczenia konferencji na temat "Golden mean Turing machine"

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Santos, Domingos B. S., Gabriel F. L. Melo, and Thelmo de Araujo. "Automatic Segmentation of Skeletal Muscle Tissue in L3 CT Images Based on Random Forests and CNN Using Coarse Ground Truth Masks." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbcas.2024.1831.

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Estimates of the composition of skeletal muscle tissue (SMT) and adipose tissues are important in the treatment of debilitating diseases, such as cancer, and in the control of overweight and obesity. Several studies have shown a high correlation between the percentage of SMT in computed tomography (CT) images corresponding to the cross-section at the level of the third lumbar vertebra (L3) and the percentage of this tissue in the whole body. A large number of models has been proposed to automatically segment CT images in order to estimate tissue compositions, many of them use supervised Machin

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Zakota, Zoltan, and Marius Fandly. "Cryptocurrencies, WEB 3.0, artificial intelligence - towards a new philosophy of money?" In International scientific conference "Development Through Research and Innovation" IDSC-2025. Academy of Economic Studies, 2025. https://doi.org/10.53486/dri2025.41.

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Computers and computing technology underwent unimaginable development in the second half of the last century, but all of this pales in comparison to what happened after the turn of the millennium. The 21st century, so far, showcased an unprecedented rise of new developments, like cryptocurrencies, Web 3.0, and artificial intelligence (AI), which besides turning our everyday life upside down, changed fundamentally the way we think about money and finances in general. Of all these, the most spectacular journey has been taken by AI, which after a humble beginning and a setback, is now practically

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Shekhawat, Deependra, and Siddharth Saboo. "Fortifying the Energy Frontier: Overcoming Cybersecurity Challenges in the Oil and Gas Industry Through Resilient Strategies and Innovative Solutions." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222471-ms.

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Abstract The oil and gas industry, a vital lifeline fueling the global economy, find itself at a pivotal juncture where the convergence of operational technology (OT) and information technology (IT) has ushered in unprecedented opportunities and challenges. As digital transformation sweeps across this sector, the imperative to fortify cybersecurity defenses against ever-evolving threats has become paramount. Innovative and forward-looking oil and gas organizations across the globe are adopting the Cloud in many forms because of their digital transformation initiatives. Data lakes, edge technol

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