Relevant bibliographies by topics / Computation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Computation"

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Brock, Oliver. "Intelligence as Computation." IOP Conference Series: Materials Science and Engineering 1321, no. 1 (2024): 012001. https://doi.org/10.1088/1757-899x/1321/1/012001.

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Abstract This paper proposes a specific conceptualization of intelligence as computation. This conceptualization is intended to provide a unified view for all disciplines of intelligence research. Already, it unifies several conceptualizations currently under investigation, including physical, neural, embodied, morphological, and mechanical intelligences. To achieve this, the proposed conceptualization explains the differences among existing views by different computational paradigms, such as digital, analog, mechanical, or morphological computation. Viewing intelligence as a composition of co
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Olakanmi, Oladayo Olufemi, and Adedamola Dada. "An Efficient Privacy-preserving Approach for Secure Verifiable Outsourced Computing on Untrusted Platforms." International Journal of Cloud Applications and Computing 9, no. 2 (2019): 79–98. http://dx.doi.org/10.4018/ijcac.2019040105.

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In outsourcing computation models, weak devices (clients) increasingly rely on remote servers (workers) for data storage and computations. However, most of these servers are hackable or untrustworthy, which makes their computation questionable. Therefore, there is need for clients to validate the correctness of the results of their outsourced computations and ensure that servers learn nothing about their clients other than the outputs of their computation. In this work, an efficient privacy preservation validation approach is developed which allows clients to store and outsource their computat
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Fresco, Nir. "Long-arm functional individuation of computation." Synthese 199, no. 5-6 (2021): 13993–4016. http://dx.doi.org/10.1007/s11229-021-03407-x.

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AbstractA single physical process may often be described equally well as computing several different mathematical functions—none of which is explanatorily privileged. How, then, should the computational identity of a physical system be determined? Some computational mechanists hold that computation is individuated only by either narrow physical or functional properties. Even if some individuative role is attributed to environmental factors, it is rather limited. The computational semanticist holds that computation is individuated, at least in part, by semantic properties. She claims that the m
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Larsen, Brett W., and Shaul Druckmann. "Towards a more general understanding of the algorithmic utility of recurrent connections." PLOS Computational Biology 18, no. 6 (2022): e1010227. http://dx.doi.org/10.1371/journal.pcbi.1010227.

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Lateral and recurrent connections are ubiquitous in biological neural circuits. Yet while the strong computational abilities of feedforward networks have been extensively studied, our understanding of the role and advantages of recurrent computations that might explain their prevalence remains an important open challenge. Foundational studies by Minsky and Roelfsema argued that computations that require propagation of global information for local computation to take place would particularly benefit from the sequential, parallel nature of processing in recurrent networks. Such “tag propagation”
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MACLENNAN, BRUCE J. "EMBODIED COMPUTATION: APPLYING THE PHYSICS OF COMPUTATION TO ARTIFICIAL MORPHOGENESIS." Parallel Processing Letters 22, no. 03 (2012): 1240013. http://dx.doi.org/10.1142/s0129626412400130.

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We discuss the problem of assembling complex physical systems that are structured from the nanoscale up through the macroscale, and argue that embryological morphogenesis provides a good model of how this can be accomplished. Morphogenesis (whether natural or artificial) is an example of embodied computation, which exploits physical processes for computational ends, or performs computations for their physical effects. Examples of embodied computation in natural morphogenesis can be found at many levels, from allosteric proteins, which perform simple embodied computations, up through cells, whi
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Aho, A. V. "Computation and Computational Thinking." Computer Journal 55, no. 7 (2012): 832–35. http://dx.doi.org/10.1093/comjnl/bxs074.

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Smolensky, Paul. "Symbolic functions from neural computation." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1971 (2012): 3543–69. http://dx.doi.org/10.1098/rsta.2011.0334.

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Is thought computation over ideas? Turing, and many cognitive scientists since, have assumed so, and formulated computational systems in which meaningful concepts are encoded by symbols which are the objects of computation. Cognition has been carved into parts, each a function defined over such symbols. This paper reports on a research program aimed at computing these symbolic functions without computing over the symbols. Symbols are encoded as patterns of numerical activation over multiple abstract neurons, each neuron simultaneously contributing to the encoding of multiple symbols. Computati
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Raussendorf, Robert. "Cohomological framework for contextual quantum computations." quantum Information and Computation 19, no. 13&14 (2019): 1141–70. http://dx.doi.org/10.26421/qic19.13-14-4.

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We describe a cohomological framework for measurement-based quantum computation in which symmetry plays a central role. Therein, the essential information about the computation is contained in either of two topological invariants, namely two cohomology groups. One of them applies only to deterministic quantum computations, and the other to general probabilistic ones. Those invariants characterize the computational output, and at the same time witness quantumness in the form of contextuality. In result, they give rise to fundamental algebraic structures underlying quantum computation.
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Mussabayev, Rustam. "Optimizing Euclidean Distance Computation." Mathematics 12, no. 23 (2024): 3787. https://doi.org/10.3390/math12233787.

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This paper presents a comparative analysis of seventeen different approaches to optimizing Euclidean distance computations, which is a core mathematical operation that plays a critical role in a wide range of algorithms, particularly in machine learning and data analysis. The Euclidean distance, being a computational bottleneck in large-scale optimization problems, requires efficient computation techniques to improve the performance of various distance-dependent algorithms. To address this, several optimization strategies can be employed to accelerate distance computations. From spatial data s
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Burgin, Mark, Eugene Eberbach, and Rao Mikkilineni. "Processing Information in the Clouds." Proceedings 47, no. 1 (2020): 25. http://dx.doi.org/10.3390/proceedings2020047025.

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Cloud computing makes the necessary resources available to the appropriate computation to improve scaling, resiliency, and the efficiency of computations. This makes cloud computing a new paradigm for computation by upgrading its artificial intelligence (AI) to a higher order. To explore cloud computing using theoretical tools, we use cloud automata as a new model for computation. Higher-level AI requires infusing features of the human brain into AI systems such as incremental learning all the time. Consequently, we propose computational models that exhibit incremental learning without stoppin
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Dissertations / Theses on the topic "Computation"

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Cattinelli, I. "INVESTIGATIONS ON COGNITIVE COMPUTATION AND COMPUTATIONAL COGNITION." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/155482.

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This Thesis describes our work at the boundary between Computer Science and Cognitive (Neuro)Science. In particular, (1) we have worked on methodological improvements to clustering-based meta-analysis of neuroimaging data, which is a technique that allows to collectively assess, in a quantitative way, activation peaks from several functional imaging studies, in order to extract the most robust results in the cognitive domain of interest. Hierarchical clustering is often used in this context, yet it is prone to the problem of non-uniqueness of the solution: a different permutation of the same i
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Berzowska, Joanna Maria 1972. "Computational expressionism : a study of drawing with computation." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/61101.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 1999.<br>Includes bibliographical references (leaves 68-73).<br>This thesis presents computational expressionism, an exploration of drawing using a computer that redefines the concepts of line and composition for the digital medium. It examines the artistic process involved in computational drawing, addressing the issues of skill, algorithmic style, authorship, re-appropriation, interactivity, dynamism, and the creative/evaluative process. The computational li
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Miller, Jacob K. "Disentanglement Puzzles and Computation." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500630352520138.

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Bogan, Nathaniel Rockwood. "Economic allocation of computation time with computation markets." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/32603.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (leaves 88-91).<br>by Nathaniel Rockwood Bogan.<br>M.Eng.
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Giannakopoulos, Dimitrios. "Quantum computation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA365665.

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Brekne, Tønnes. "Encrypted Computation." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2001. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27.

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<p>The ability to construct software, call it a functional ciphertext, which can be remotely executed in encrypted form as an entirely self-contained unit, has the potential for some interesting applications. One such application is the construction of autonomous mobile agents capable of entering into certain types of legally binding contracts on behalf of the sender. At a premium in such circumstances is the ability to protect secret cryptographic keys or other secret information, which typically is necessary for legally binding contracts. Also important is the ability to do powerful computat
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Barenco, Adriano. "Quantum computation." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360152.

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Gourlay, Iain. "Quantum computation." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/568.

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Li, Fulu 1970. "Community computation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/63016.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 171-186).<br>In this thesis we lay the foundations for a distributed, community-based computing environment to tap the resources of a community to better perform some tasks, either computationally hard or economically prohibitive, or physically inconvenient, that one individual is unable to accomplish efficiently. We introduce community coding, where information systems meet social networks, to tackle some
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Pratt, Gill. "Pulse computation." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14260.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1990.<br>Includes bibliographical references (leaves 134-135).<br>by Gill Andrews Pratt.<br>Ph.D.
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Books on the topic "Computation"

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Kostitsyna, Irina, and Pekka Orponen, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87993-8.

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Mauri, Giancarlo, Alberto Dennunzio, Luca Manzoni, and Antonio E. Porreca, eds. Unconventional Computation and Natural Computation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39074-6.

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Amos, Martyn, and ANNE CONDON, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41312-9.

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Patitz, Matthew J., and Mike Stannett, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58187-3.

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Ibarra, Oscar H., Lila Kari, and Steffen Kopecki, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08123-6.

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Du, Zhenyu, ed. Intelligence Computation and Evolutionary Computation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31656-2.

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McQuillan, Ian, and Shinnosuke Seki, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19311-9.

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Stepney, Susan, and Sergey Verlan, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92435-9.

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Durand-Lose, Jérôme, and Nataša Jonoska, eds. Unconventional Computation and Natural Computation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32894-7.

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Calude, Cristian S., and Michael J. Dinneen, eds. Unconventional Computation and Natural Computation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21819-9.

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Book chapters on the topic "Computation"

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Katzenbeisser, Stefan. "Computational Complexity and Efficient Computation." In Recent Advances in RSA Cryptography. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1431-2_2.

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Colombo, Matteo. "(Mis)computation in Computational Psychiatry." In Neural Mechanisms. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54092-0_18.

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Segal, Lynn. "Computation." In The Dream of Reality. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0115-8_6.

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Lloyd, J. W. "Computation." In Logic for Learning. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-08406-9_5.

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Troffaes, Matthias C. M., and Robert Hable. "Computation." In Introduction to Imprecise Probabilities. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118763117.ch16.

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Jack Copeland, B. "Computation." In The Blackwell Guide to the Philosophy of Computing and Information. Blackwell Publishing Ltd, 2008. http://dx.doi.org/10.1002/9780470757017.ch1.

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Ramnath, Rudrapatna V. "Computation." In SpringerBriefs in Applied Sciences and Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25749-0_2.

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Yiannoudes, Socrates. "Computation." In Architecture in Digital Culture. Routledge, 2022. http://dx.doi.org/10.4324/9781003241287-4.

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glossaire, Dir du. "Computation." In Angles morts du numérique ubiquitaire. Presses universitaires de Paris Nanterre, 2023. http://dx.doi.org/10.4000/11tvn.

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van Buuren, Stef, and Iris Eekhout. "Computation." In Child Development with the D-score. CRC Press, 2023. http://dx.doi.org/10.1201/9781003216315-5.

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Conference papers on the topic "Computation"

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Zhu, Jinbao, Lanping Li, Xiaohu Tang, and Ping Deng. "Private Multiple Linear Computation: A Flexible Communication-Computation Tradeoff." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619123.

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Jansen, Thomas, and Frank Neumann. "Computational complexity and evolutionary computation." In the 11th annual conference companion. ACM Press, 2009. http://dx.doi.org/10.1145/1570256.1570416.

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Jansen, Thomas, and Frank Neumann. "Computational complexity and evolutionary computation." In the 2007 GECCO conference companion. ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274112.

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Jansen, Thomas, and Frank Neumann. "Computational complexity and evolutionary computation." In the 12th annual conference comp. ACM Press, 2010. http://dx.doi.org/10.1145/1830761.1830914.

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Jansen, Thomas, and Frank Neumann. "Computational complexity and evolutionary computation." In the 2008 GECCO conference companion. ACM Press, 2008. http://dx.doi.org/10.1145/1388969.1389062.

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Jansen, Thomas, and Frank Neumann. "Computational complexity and evolutionary computation." In the 13th annual conference companion. ACM Press, 2011. http://dx.doi.org/10.1145/2001858.2002127.

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Maley, Corey. "Analog Computation in Computational Cognitive Neuroscience." In 2018 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2018. http://dx.doi.org/10.32470/ccn.2018.1178-0.

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Dhamodaran, M., and R. Dhanasekaran. "Efficient capacitance computation for computational electromagnetics." In 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6950133.

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Bakar, Rohani binti Abu, and Junzo Watada. "Computational cluster validation in DNA-based computation." In 2009 IEEE International Symposium on Intelligent Signal Processing - (WISP 2009). IEEE, 2009. http://dx.doi.org/10.1109/wisp.2009.5286561.

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Salmani, Mahsa, and Timothy N. Davidson. "Multiple access computational offloading with computation constraints." In 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2017. http://dx.doi.org/10.1109/spawc.2017.8227713.

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Reports on the topic "Computation"

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Golub, Gene H. Computational Equipment for the Development of Numerical Algorithms Computation. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226702.

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Chandy, K. M. Parallel Computation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada284831.

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Oldehoeft, Rodney R. Parallel Functional Computation. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada214627.

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Austin, Robert H. Computation by Bacteria. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada535062.

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Lawrence, Jim. Polytope volume computation. National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4123.

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Traub, Joseph F. Continuous Quantum Computation. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada465614.

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Yepez, Jeffrey. New World Vistas: New Models of Computation Lattice Based Quantum Computation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada421712.

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Grefenstette, John. Topics in Evolutionary Computation. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada398950.

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Crawford, D. Computation 2013 Annual Report. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1129142.

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Cristoforides, Andreas, and Aaaron Miller. Linear optical quantum computation. Web of Open Science, 2020. http://dx.doi.org/10.37686/qrl.v1i2.58.

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