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Books on the topic 'Learning by Analogy'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Liao, Chu-Min. Self-focused attention, analogy learning and implicit motor learning. University of Birmingham, 2001.

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2

Greiner, Russell. Learning by understanding analogies. University of Toronto, Computer Systems Research Institute, 1986.

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3

Gentner, Dedre. Mechanisms of analogical learning. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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4

Greiner, Russell. Learning by understanding analogies: A dissertation.... Stanford University, 1985.

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5

Russell, Stuart J. The use of knowledge in analogy and induction. Pitman, 1989.

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6

Falkenhainer, Brian. The structure-mapping engine: Algorithm and examples. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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7

Falkenhainer, Brian. An examination of the third stage in the analogy process: Verification-based analogical learning. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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8

Labra, María José González. Aprendizaje por analogía: Análisis del proceso de inferencia analógica para la adquisición de nuevos conocimientos. Trotta, 1997.

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9

Gerhard, Weber. Fallbasiertes Lernen und Analogien: Unterstützung von Problemlöse- und Lernprozessen in einem adaptiven Lernsystem. Beltz, 1994.

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10

McAuliffe, Jane. What color is Saturday?: Using analogies to enhance creative thinking in the classroom. Zephyr Press, 1993.

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11

Harpe, Pieter, Kofi A. A. Makinwa, and Andrea Baschirotto, eds. Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91741-8.

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12

Micheline, Frenette, Gard Barbara, Educational Technology Center (Cambridge, Mass.), and National Institute of Education (U.S.), eds. Weight, density and matter: A study of elementary children's reasoning about density with concrete materials and computer analogs. Educational Technology Center, Harvard Graduate School of Education, 1985.

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13

Paine, Nigel. Information technology & open learning: The interactivity analogue : paper presented to ETIC '83, Exeter 28-31 March. Scottish Council for Educational Technology, 1985.

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14

Montgomery, Marion. Concerning intellectual philandering: Poets and philosophers, priests and politicians. Rowman & Littlefield, 1998.

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15

Analogy of Learning; an Essay Toward a Thomistic Psychology of Learning. Creative Media Partners, LLC, 2021.

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16

Scarfo, Bob. Landscape Architecture As Storytelling: Learning Design Through Analogy. Taylor & Francis Group, 2022.

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17

Scarfo, Bob. Landscape Architecture As Storytelling: Learning Design Through Analogy. Routledge, Chapman & Hall, Incorporated, 2022.

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18

Scarfo, Bob. Landscape Architecture As Storytelling: Learning Design Through Analogy. Routledge, Chapman & Hall, Incorporated, 2022.

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19

Scarfo, Bob. Landscape Architecture As Storytelling: Learning Design Through Analogy. Taylor & Francis Group, 2022.

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20

Scarfo, Bob. Landscape Architecture As Storytelling: Learning Design Through Analogy. Taylor & Francis Group, 2022.

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21

Russell, Stuart J. Use of Knowledge in Analogy and Induction. SPCK Publishing, 1993.

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22

Russel, S. J. Use of Analogy and Induction (Research Notes in Artificial Intelligence). Financial Times Prentice Hall, 1989.

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23

(Editor), Setsuo Arikawa, and Klaus P. Jantke (Editor), eds. Algorithmic Learning Theory: 4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning ... (Lecture Notes in Computer Science). Springer, 1994.

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24

Little, Max A. Machine Learning for Signal Processing. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198714934.001.0001.

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Digital signal processing (DSP) is one of the ‘foundational’ engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance and autonomous car navigation. Statistical machine learning exploits the analogy between intelli

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25

Choosing a Grammar: Learning Paths and Ambiguous Evidence in the Acquisition of Syntax. Benjamins Publishing Company, John, 2017.

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26

Choosing a Grammar: Learning Paths and Ambiguous Evidence in the Acquisition of Syntax. Benjamins Publishing Company, John, 2017.

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27

Stoskin, Laura, and Jane McAuliffe. What Color Is Saturday?: Using Analogies to Enhance Creative Thinking in the Classroom. Zephyr Pr Learning Materials, 1994.

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28

Vosniadou, Stella, and Andrew Ortony. Similarity and Analogical Reasoning. Cambridge University Press, 2011.

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29

Vosniadou, Stella, and Andrew Ortony. Similarity and Analogical Reasoning. Cambridge University Press, 2009.

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30

Analogy of the Languages of Southern Europe: Or, an Easy Method of Learning, Singly or Collectively, the Italian, Spanish, Portuguese, and French Languages, by Means of the Latin. Creative Media Partners, LLC, 2022.

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31

Manget, Victor H. Analogy of the Languages of Southern Europe: Or, an Easy Method of Learning, Singly or Collectively, the Italian, Spanish, Portuguese, and French Languages, by Means of the Latin. Creative Media Partners, LLC, 2018.

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32

Analogy of the Languages of Southern Europe: Or, an Easy Method of Learning, Singly or Collectively, the Italian, Spanish, Portuguese, and French Languages, by Means of the Latin. Creative Media Partners, LLC, 2022.

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33

Analog algorithm: Landscapes of machine learning. Fotohof Edition, 2020.

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34

Goswami, Usha. Analogical Reasoning in Children. Taylor & Francis Group, 2013.

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35

Attia, John Okyere. Circuits and Electronics: Hands-On Learning with Analog Discovery. Taylor & Francis Group, 2017.

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36

Attia, John Okyere. Circuits and Electronics: Hands-On Learning with Analog Discovery. Taylor & Francis Group, 2017.

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37

Attia, John Okyere. Circuits and Electronics: Hands-On Learning with Analog Discovery. Taylor & Francis Group, 2017.

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38

Attia, John Okyere. Circuits and Electronics: Hands-On Learning with Analog Discovery. Taylor & Francis Group, 2017.

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39

Circuits and Electronics: Hands-On Learning with Analog Discovery. Taylor & Francis Group, 2017.

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40

Hermans, Hubert J. M. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190687793.003.0001.

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The introduction presents the two-fold purpose of this book: (a) to demonstrate that the self is not determined by society as an outside cause but shaping society in its own self-organization and (b) to investigate the extent to which the self is democratically organized. The presented positioning theory provides an alternative to both Antony Greenwald’s totalitarian ego and Marvin Minsky’s depiction of the self as a bureaucratic organization. As an analogy to Amartya’s conception of democracy as a societal learning process, the democratic self is described as an internal learning process in w

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41

Mason, Peggy. Cerebellum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0024.

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The cerebellum uses sensory feedback and information about intended actions to ensure coordinated and smooth movements despite changing conditions. An analogy between the cerebellum and an orchestral conductor is elaborated. The cerebellum’s involvement in forming and executing motor memories is presented. Cerebellar circuits through the cerebellar cortex and deep nuclei and the dependence of cerebellar learning on climbing fiber input to Purkinje cells are briefly described. Sensory reafference and motor efference copy are defined and their roles in coordinating movement introduced. Cerebella

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42

Häfliger, Philipp D. A spike based learning rule and its implementation in analog hardware. 2000.

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43

Goswami, Usha. Analogical Reasoning in Children. Taylor & Francis Group, 2013.

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44

Goswami, Usha. Analogical Reasoning in Children. Taylor & Francis Group, 2013.

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45

Goswami, Usha. Analogical Reasoning in Children. Taylor & Francis Group, 2013.

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46

Analogical reasoning in children. L. Erlbaum, 1992.

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47

Harpe, Pieter, Andrea Baschirotto, and Kofi A. A. Makinwa. Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-Speed Communication: Advances in Analog Circuit Design 2021. Springer International Publishing AG, 2022.

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48

Swanland, Larissa, Kaitlyn Franz, and Norman MacDonald. OpenScope MZ Learning Edition Workbook: Getting Started with Your OpenScope MZ Through an Introduction to Analog Circuits. Independently Published, 2018.

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49

Dündar, Günhan, and Mustafa Berke Yelten. Modelling Methodologies in Analogue Integrated Circuit Design. Institution of Engineering & Technology, 2020.

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50

Modelling Methodologies in Analogue Integrated Circuit Design. Institution of Engineering & Technology, 2020.

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