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Natural computing,[1][2] also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.

Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.

Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein–protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts to understand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.[3][4] Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.[5] The universe/nature as computational mechanism is addressed by,[6] exploring nature with help the ideas of computability, and [7] studying natural processes as computations (information processing).

  1. ^ G.Rozenberg, T.Back, J.Kok, Editors, Handbook of Natural Computing, Springer Verlag, 2012
  2. ^ A.Brabazon, M.O'Neill, S.McGarraghy. Natural Computing Algorithms, Springer Verlag, 2015
  3. ^ Fredkin, F. Digital mechanics: An informational process based on reversible universal CA. Physica D 45 (1990) 254-270
  4. ^ Zuse, K. Rechnender Raum. Elektronische Datenverarbeitung 8 (1967) 336-344
  5. ^ Lloyd, S. Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos. Knopf, 2006
  6. ^ Zenil, H. A Computable Universe: Understanding and Exploring Nature as Computation. World Scientific Publishing Company, 2012
  7. ^ Dodig-Crnkovic, G. and Giovagnoli, R. COMPUTING NATURE. Springer, 2013

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Natural computing

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life, DNA computing, and quantum computing, among others. Computational paradigms studied by natural computing are abstracted from natural phenomena as...

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Grzegorz Rozenberg

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traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems. Soft computing was coined in...

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augmented reality, mixed reality, natural user interface, contextual computing, affective computing, and ubiquitous computing. The usage for labeling and discussing...

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psychology (information processing theory), computer science (natural computing, bio-inspired computing), among others disciplines. Neuroinformatics doesn't deal...

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quantum computing. The paper was submitted in June 1979 and published in April 1980. Yuri Manin briefly motivates the idea of quantum computing. Tommaso...

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Eiben, A.E.; Smith, J.E. (2015). Introduction to Evolutionary Computing. Natural Computing Series. Berlin, Heidelberg: Springer. p. 40. doi:10.1007/978-3-662-44874-8...

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particle swarm optimization. Part I: background and development". Natural Computing. 6 (4): 467–484. CiteSeerX 10.1.1.605.5879. doi:10.1007/s11047-007-9049-5...

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of the analytical engine's computing unit (the mill) in 1888. He gave a successful demonstration of its use in computing tables in 1906. In his work...

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Evolutionary computing Metaheuristics Stochastic optimization Optimization Evolutionary algorithms is a sub-field of evolutionary computing. Evolution strategies...

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computability theory include: What does it mean for a function on the natural numbers to be computable? How can noncomputable functions be classified into a hierarchy...

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Anticipation and Rationality in Natural and Artificial Systems: Computational Paradigms Mimicking Nature" Natural Computing, December, 2009. Vol. 8(4), pp...

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