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Libros sobre el tema "Algorithme cognitif"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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1

Perlovsky, Leonid, Ross Deming, and Roman Ilin. Emotional Cognitive Neural Algorithms with Engineering Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22830-8.

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2

Esposito, Anna, Amir Hussain, Maria Marinaro, and Raffaele Martone, eds. Multimodal Signals: Cognitive and Algorithmic Issues. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00525-1.

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3

Pinna, Simone. Extended Cognition and the Dynamics of Algorithmic Skills. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51841-1.

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4

Talvitie, Vesa. Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. Karnac, 2009.

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5

Ross, Deming, Ilin Roman, and SpringerLink (Online service), eds. Emotional Cognitive Neural Algorithms with Engineering Applications: Dynamic Logic: FromVague to Crisp. Springer-Verlag Berlin Heidelberg, 2011.

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6

(Project), COST Action 2102, euCognition (Project), and COST Action 2102 and euCognition International School (2008 : Vietri sul Mare, Italy), eds. Multimodal signals: Cognitive and algorithmic issues : COST Action 2102 and euCognition International School Vietri Sul Mare, Italy, April 21-26, 2008 : revised selected and invited papers. Springer, 2009.

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7

Cvetkov, Viktor. Basics of complexity theory. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110856.

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The monograph reveals the basics of complexity theory and methods for assessing complexity. The concept of complexity consideration is based on the analysis of complexity as a common attribute in processes and systems. The monograph describes the main methods for assessing different types of complexity. The concept of considering complexity in this monograph is also based on the fact that complexity is a comparative characteristic. It is given on a relative scale of difficulty. Therefore, complexity must be defined on a relative scale of “simplicity-complexity.” This concept motivates the cons
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8

Dahlstedt, Palle. Action and Perception. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.4.

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While computational models of human music making are a hot research topic, the human side of computer-based music making has been largely neglected. What are our cognitive processes like when we create musical algorithms, and when we compose and perform with them? Musical human–algorithm interaction involves embodied action, perception and interaction, and some kind of internalization of the algorithms in the performer’s mind. How does the cognitive relate to the physical here? Departing from the age-old mind–body problem, this chapter tries to answer these questions and review relevant resear
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9

Calculus of Ideas: A Mathematical Study of Human Thought. World Scientific Publishing Co Pte Ltd, 2012.

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10

Calculus of Ideas: A Mathematical Study of Human Thought. World Scientific Publishing Co Pte Ltd, 2012.

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11

Papageorgiou, Elpiniki. Fuzzy Cognitive Maps for Applied Sciences and Engineering. Springer, 2013.

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12

Tranter, William H., Tamal Bose, Alireza Babaei, and Barathram Ramkumar. Blind Signal Classification Algorithms for Cognitive Radios. Springer, 2020.

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13

Robbins, Trevor W., Peter M. Todd, Julia Lupp, and Thomas T. Hills. Cognitive Search: Evolution, Algorithms, and the Brain. MIT Press, 2012.

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14

Cognitive search: Evolution, algorithms, and the brain. MIT Press, 2012.

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15

Robbins, Trevor W., Peter M. Todd, and Thomas T. Hills. Cognitive Search: Evolution, Algorithms, and the Brain. MIT Press, 2019.

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16

Tranter, William H., Tamal Bose, Alireza Babaei, Barathram Ramkumar, and Munawwar Mahmud Sohul. Blind Signal Classification Algorithms for Cognitive Radios. Springer London, Limited, 2020.

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17

Freudian Unconscious and Cognitive Neuroscience: From Unconscious Fantasies to Neural Algorithms. Karnac Books, 2009.

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18

Freudian Unconscious and Cognitive Neuroscience: From Unconscious Fantasies to Neural Algorithms. Taylor & Francis Group, 2018.

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19

Freudian unconscious and cognitive neuroscience: From unconscious fantasies to neural algorithms. Karnac, 2009.

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20

Hosseini, Seyyed Abed, ed. Cognitive and Computational Neuroscience - Principles, Algorithms and Applications. InTech, 2018. http://dx.doi.org/10.5772/intechopen.68377.

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21

Saha, Apu, and Mrinmoy Majumder. Application of Cognitive Algorithms in Optimal Power Allocation. Independently Published, 2017.

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22

Dhope, Tanuja S. Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. River Publishers, 2022.

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23

Dhope, Tanuja S. Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. River Publishers, 2015.

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24

Dhope, Tanuja S. Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. River Publishers, 2022.

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25

Dhope, Tanuja S. Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. River Publishers, 2015.

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26

Barrios, Luis. Modeling of Complex Processes and Systems: An Integrated Approach from Measurement to Cognition. Springer London, Limited, 2020.

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27

Barrios, Luis. Modeling of Complex Processes and Systems: An Integrated Approach from Measurement to Cognition. Springer London, Limited, 2020.

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28

Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments. Taylor & Francis Group, 2014.

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29

Kumar, Sunil, and Fei Hu. Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments. Taylor & Francis Group, 2016.

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30

Kumar, Sunil, and Fei Hu. Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments. Taylor & Francis Group, 2014.

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31

Kumar, Sunil, and Fei Hu. Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments. Taylor & Francis Group, 2014.

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32

Papageorgiou, Elpiniki I. Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms. Springer, 2016.

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33

Papageorgiou, Elpiniki I. Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms. Springer, 2013.

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34

Pinna, Simone. Extended Cognition and the Dynamics of Algorithmic Skills. Springer, 2017.

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35

Pinna, Simone. Extended Cognition and the Dynamics of Algorithmic Skills. Springer, 2018.

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36

Shapiro, Lawrence A. Embodied Cognition. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0006.

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The article explains the history, core concepts, methodological practices, and future prospects of embodied cognition. Cognitivism treats cognition, including perception, as a constructive process in which computational operations transform a static representation into a goal state. Cognition begins with an input representation so that the psychological subject can be conceived as a passive receptor of information. The cognitivist's primary concern is the discovery of algorithms by which inputs such as those representing shading are transformed into outputs such as those representing shape. Th
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37

Lytras, Miltiadis D., Kwok Tai Chui, Ryan Wen Liu, and Mingbo Zhao. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global, 2020.

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38

Algorithms, abstraction, and implementation: Levels of detail in cognitive science. Academic Press, 1992.

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39

Lytras, Miltiadis D., Kwok Tai Chui, Ryan Wen Liu, and Mingbo Zhao. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global, 2020.

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40

Lytras, Miltiadis D., Kwok Tai Chui, Ryan Wen Liu, and Mingbo Zhao. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global, 2020.

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41

Lytras, Miltiadis D., Kwok Tai Chui, Ryan Wen Liu, and Mingbo Zhao. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global, 2020.

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42

Lytras, Miltiadis D., Kwok Tai Chui, Ryan Wen Liu, and Mingbo Zhao. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence. IGI Global, 2020.

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43

Pal, Neha. Implementation of Cognitive Radio Spectrum Sensing Circuit Using Tsprt Algorithm. GRIN Verlag GmbH, 2017.

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44

Durmus, Murat. COGNITIVE BIASES - a Brief Overview of over 160 Cognitive Biases : + Bonus Chapter: Algorithmic Bias. Lulu Press, Inc., 2022.

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45

Kumar, Sandeep, Rohit Raja, Shilpa Rani, and Shrikant Tiwari. Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms. Wiley & Sons, Incorporated, John, 2021.

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46

Talvitie, Vesa. Freudian Unconscious and Cognitive Neuroscience: From Unconscious Fantasies to Neural Algorithms. Taylor & Francis Group, 2018.

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47

Kumar, Sandeep, Rohit Raja, Shilpa Rani, and Shrikant Tiwari. Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms. Wiley & Sons, Incorporated, John, 2021.

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48

Talvitie, Vesa. Freudian Unconscious and Cognitive Neuroscience: From Unconscious Fantasies to Neural Algorithms. Karnac Books, 2009.

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49

Kumar, Sandeep, Rohit Raja, Shilpa Rani, and Shrikant Tiwari. Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms. Wiley & Sons, Incorporated, John, 2021.

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50

Kumar, Sandeep, Rohit Raja, Shilpa Rani, and Shrikant Tiwari. Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithm. Wiley & Sons, Limited, John, 2022.

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