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Books on the topic 'Intuitive understanding'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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1

Goldberg, Philip. The intuitive edge: Understanding and developing intuition. Wellingborough: Turnstone, 1985.

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Goldberg, Philip. The intuitive edge: Understanding and developing intuition. Wellingborough: Crucible, 1989.

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Goldberg, Philip. The intuitive edge: Understanding and developing intuition. Wellingborough: Crucible, 1989.

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4

Cracking the intuition code: Understanding and mastering your intuitive power. Lincolnwood, Ill: Contemporary Books, 1999.

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5

Canto, Victor A. Understanding asset allocation: An intuitive approach to maximizing your portfolio. Indianapolis: Financial Times Prentice Hall, 2005.

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6

Understanding asset allocation: An intuitive approach to maximizing your portfolio. Upper Saddle River, NJ: FT Prentice Hall, 2006.

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7

Hitz, C. Breck. Understanding laser technology: An intuitive introduction to basic and advanced laser concepts. Tulsa, Okla: PennWell Books, 1985.

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8

Understanding laser technology: An intuitive introduction to basic and advanced laser concepts. 2nd ed. Tulsa, Okla: PennWell Books, 1991.

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9

Crawford, Catherine. The highly intuitive child: A guide to understanding and parenting unusually sensitive and empathic children. Alameda, CA: Hunter House Publishers, 2009.

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10

The highly intuitive child: A guide to understanding and parenting unusually sensitive and empathic children. Alameda CA: Hunter House Publishers, 2008.

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11

Intuition magic: Understanding your psychic nature. Charlottesville, VA: Hampton Roads Pub., 1998.

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12

Insight: A practical guide to developing and understanding your intuition. Bothell, WA: Book Publishers Network, 2009.

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13

Failures of agency: Irrational behavior of self-understanding. Lanham, Md: Lexington Books, 2011.

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14

Odincov, Boris. Models and intelligent systems. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used. The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discusses difficulties in the development of the classical approach, associated with identifying the meaning of words, phrases, text, and formulating thoughts. The analysis of problems arising in the play of imagination and insight, machine understanding of natural language texts, play, verbalization and reflection. The third Chapter contains examples of the development of intelligent information systems and technologies in practice of management of economic objects. Theoretical bases of construction of information robots designed to support the task hierarchy of the knowledge base and generating control regulations. The technology of their creation and application in the management of the business efficiency of enterprise business processes and its investment activities. Focused on researchers and developers, AI and intelligent information systems, as well as graduate students and faculty in related academic disciplines.
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15

Pitts, Darlene. Discover Your Intuition: Understanding the Power of Intuitive Communication. Intuition Connection, 2015.

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16

Cracking the Intuition Code : Understanding and Mastering Your Intuitive Power. McGraw-Hill, 2000.

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17

Torff, Bruce, and Robert J. Sternberg, eds. Understanding and Teaching the Intuitive Mind. Routledge, 2001. http://dx.doi.org/10.4324/9781410605740.

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18

Goldberg, Philip. The Intuitive Edge: Understanding Intuition and Applying it in Everyday Life. Backinprint.com, 2006.

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19

Francisco, Ortega, Armando Barreto, Malek Adjouadi, and Nonnarit O-Larnnithipong. Intuitive Understanding of Kalman Filtering with MATLAB. Taylor & Francis Group, 2020.

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20

Intuitive Understanding of Kalman Filtering with MATLAB. Taylor & Francis Group, 2020.

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21

Billingsley, Randall. Understanding Arbitrage: An Intuitive Approach to Financial Analysis. Pearson Education, Limited, 2005.

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22

Billingsley, Randall. Understanding Arbitrage: An Intuitive Approach to Financial Analysis. Wharton School Publishing, 2005.

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23

Barreto, Armando, Malek Adjouadi, Francisco R. Ortega, and Nonnarit O-larnnithipong. Intuitive Understanding of Kalman Filtering with MATLAB®. CRC Press, 2020. http://dx.doi.org/10.1201/9780429200656.

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24

Understanding Arbitrage: An Intuitive Approach to Financial Analysis. Wharton School Publishing, 2005.

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25

Gerstenberg, Tobias, and Joshua B. Tenenbaum. Intuitive Theories. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.28.

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This chapter first explains what intuitive theories are, how they can be modeled as probabilistic, generative programs, and how intuitive theories support various cognitive functions such as prediction, counterfactual reasoning, and explanation. It focuses on two domains of knowledge: people’s intuitive understanding of physics, and their intuitive understanding of psychology. It shows how causal judgments can be modeled as counterfactual contrasts operating over an intuitive theory of physics, and how explanations of an agent’s behavior are grounded in a rational planning model that is inverted to infer the agent’s beliefs, desires, and abilities. It concludes by highlighting some of the challenges that the intuitive theories framework faces, such as understanding how intuitive theories are learned and developed.
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26

Bruce, Torff, and Sternberg Robert J, eds. Understanding and teaching the intuitive mind: Student and teacher learning. Mahwah, N.J: Lawrence Erlbaum Associates, 2001.

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27

Canto, Victor A. Understanding Asset Allocation: An Intuitive Approach to Maximizing Your Portfolio. FT Press, 2015.

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28

Sternberg, Robert J., and Bruce Torff. Understanding and Teaching the Intuitive Mind: Student and Teacher Learning. Taylor & Francis Group, 2016.

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29

(Editor), Bruce Torff, and Robert J. Sternberg (Editor), eds. Understanding and Teaching the Intuitive Mind: Student and Teacher Learning (Educational Psychology Series). Lawrence Erlbaum, 2001.

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30

Canto, Victor A. Understanding Asset Allocation: An Intuitive Approach to Maximizing Your Portfolio (Financial Times (Prentice Hall)). FT Press, 2006.

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31

Canto, Victor A. Understanding Asset Allocation: An Intuitive Approach to Maximizing Your Portfolio (Financial Times (Prentice Hall)). FT Press, 2006.

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32

A Parenting Manual: How to Prevent & Close Communication Gaps at Any Age Through Common Sense & Intuitive Understanding. Borgo Press, 1995.

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33

Childre, Doc Lew. A Parenting Manual: How to Prevent & Close Communication Gaps at Any Age Through Common Sense & Intuitive Understanding. Planetary Publications, 1995.

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34

Understanding Intuition. Elsevier, 2018. http://dx.doi.org/10.1016/c2017-0-00236-7.

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35

Morsanyi, Kinga, and Denes Szucs. Intuition in Mathematical and Probabilistic Reasoning. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.016.

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Many people have a fragmented knowledge and understanding of the rules of mathematics and probability. As a consequence, they struggle with selecting the appropriate strategies to solve problems, and they often rely on intuitive solutions instead of normative rules. The purpose of this chapter is to introduce some typical intuitive strategies that people might apply when they solve mathematical or probability problems. Then the chapter describes the notions of primary and secondary intuitions, and gives an overview of the factors that might affect the selection of a particular intuitive strategy (such as certain individual differences variables and task characteristics). Finally, the chapter discusses the implications of these findings for researchers and educators.
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36

Astington, Janet Wilde, and Claire Hughes. Theory of Mind. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0016.

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The chapter begins with an explanation of key foundational concepts in theory of mind, such as mental representation and false belief. We then discuss the history and current broad scope of the term, proposing a developmental-componential view that incorporates intuitive and reflective aspects of theory of mind. We continue with a comprehensive description of the developmental progression of theory of mind: from infants’ intuitive understanding of ordinary actions as reflecting others’ attention and intentions, through toddlers’ appreciation of world-inconsistent goals and preschool developments in understanding representational mental states, to school-age children’s mastery of an interpretative and complex theory of mind. We consideren passantindividual differences in development, as well as atypical development, such as in autism. Finally, new directions for research are explored, in the areas of neurology, education, and deontic reasoning.
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37

Blackmann, Jim. Intuition Test : Understanding Intuition: From Gut-Feeling to Insight. Independently Published, 2020.

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38

Struwig, Dillon. Coleridge’s Two-Level Theory of Metaphysical Knowledge and the Order of the Mental Powers in the Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198799511.003.0012.

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Coleridge is presented as a two-level theorist of the innate powers of mind in Chapter 11, which argues that Coleridge distinguishes (1) a transcendental, Kantian sense of the a priori principles of human discursive cognition (comparable to Plato’s mid-level diánoia), from (2) the noëtic, Platonic a priori principles of intellectual intuition (or nóēsis, a higher-level intuitive cognition of ontological, theological, and ethical truths). Drawing on Logic and Opus Maximum, the author demonstrates that Coleridge characterizes Kantian a priori principles as ‘subjectively real’, finite-mind-dependent rules of sense-experience and cognition, and Platonic a priori principles as ‘objectively real’ principles of knowing and being that are dependent upon ‘the transcendent and unindividual’ reason (i.e. God, ‘the absolute Self, Spirit, or Mind’). This ‘two-level’ theory is framed in terms of Coleridge’s Kantian ‘threefold division’ of the human cognitive capacities into sense, understanding, and reason, and their respective a priori operations and contents.
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39

Isenman, Lois. Understanding Intuition: A Journey in and Out of Science. Elsevier Science & Technology, 2018.

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40

PM, Karthik, and karthik PM. Chess Intuition Versus Calculation: Understanding what you need. Independently published, 2016.

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41

White, William M. What Leaders Believe: Understanding Leadership Intuition and Intellect. Edited by Aberjhani. Mountain State University, 2010.

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42

Dunlop, Katherine. Understanding Non-Conceptual Representation of Objects. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198724957.003.0003.

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This chapter endorses Lucy Allais’s attribution of a non-conceptualist view to Kant and her methodology of appealing to contemporary cognitive science. In particular, it agrees with Allais that intuition should be understood as the result of cognitive processing (rather than as brutely given). But the chapter argues that Allais’s choice of ‘binding’ as an empirical model (for the generation of intuition) is not apt, proposing instead that the processing that generates intuition should be taken to implement empirically-identified ‘principles of object perception’. It is argued that representation conforming to these principles need not qualify as conceptual by Kant’s standards.
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43

Kvanvig, Jonathan L. Understanding. Edited by William J. Abraham and Frederick D. Aquino. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199662241.013.31.

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Among our purely intellectual achievements are things like knowledge, understanding, and finding good reasons or evidence for some claims and against others. The drive to reduce and simplify then appears, asking which of these great epistemic goods is fundamental. Does knowledge come first, with good evidence being a derivative idea (maybe because your evidence is what you know)? Or does the evidence we get from experience or rational intuition dominate, with knowledge involving an especially laudatory amount or degree of such? Where do the great intellectual achievements of wisdom and understanding fit into the story? If understanding, for example, is the goal of enquiry rather than knowledge or rational opinion, the question arises of whether either of the two approaches can explain or accommodate such a central role. This chapter explores the relationships between these three central elements in a complete epistemology.
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44

Slater, Leigh Ann, and Pamela A. Lipsett. Environmental decontamination and isolation strategies in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0285.

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Potential avenues for infection transmission range from the initial hospital construction itself to unit and room layout, design materials, disinfection materials and methods, isolation equipment, and staff ratios and training. Better understanding of these avenues for transmission will suggest the means to decrease the burden of environmental contamination. There is a limited evidence base for many currently employed cleaning and isolation techniques. Many are simply intuitive or based on non-controlled observations, and rigorous studies may be prohibitively expensive. In addition, reduced colonization does not always translate to reduced infection rates. This chapter will provide a brief overview of the current understanding of the environment of care and its impact on infection control practices.
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45

Wittman, David M. The Speed of Light. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199658633.003.0005.

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You have probably heard that nothing can go faster than the speed of light. In this chapter, we will see that the speed of light is even more remarkable: it is the same in all frames. From this surprising fact, we will deduce that this speed must also serve as a limit and that Galilean velocity addition fails to describe how nature works at high speeds: our first glimpses of the modern understanding of relativity. To make you more comfortable with the fact that velocities must add nonlinearly, this chapter develops an intuitive conceptual analogy for velocity addition.
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46

Millikan, Ruth Garrett. Perception, Especially Perception through Language. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198717195.003.0014.

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Perceptual processing is translation of patterns in the data of sense into cognitive understanding without uniceptual inference. Understanding language differs from ordinary perceptual processing in that the signs it translates are detached rather than attached. This similarity is obscured because ordinary uses of the verbs of perception do not track a kind of psychological processing. Their use is mostly factive, which encourages overlooking the fallibility of perception. One result is the mistaken view that perceptual illusions are an anomaly and that perception is cognitively impenetrable. The assumption that each of the senses has its own proprietary level of perception and the assumption that differences in the result of perceptual processing are always accompanied by differences in perceptual experience are questioned. Finally, a number of intuitive objections to the idea that understanding language is a form of perceptual processing are discussed.
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47

Saha, Prasenjit, and Paul A. Taylor. Celestial Mechanics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198816461.003.0002.

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Celestial mechanics abounds in interesting and counter-intuitive phenomena, such as descriptions of mass transfer between stars or optimal placements of satellites within the Solar System. Remarkably, many such features are already present in the restricted three-body problem, whose assumptions still allow for analytical understanding, and to which the second chapter is devoted. This ‘simplified’ system is discussed first in terms of forces (both gravitational and fictitious), and then using the Hamiltonian form. As well as traditional topics like stable and unstable Lagrange points and Roche lobes, a brief introduction to chaotic orbits is given. Additionally, readers are guided towards exploring on their own with numerical orbit integration.
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48

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Theoretical Background. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0002.

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This chapter describes the basic background for small angle scattering starting with a simple description of the experiment and geometric theory of scattering. It describes the nature of the data produced and the information contained within that data and how relationship between real and reciprocal space in the context of solution scattering. The concept of spherical averaging is described along with its implications and effects on the available structural information from experiment. The chapter describes important fundamental concepts in solution scattering such as the pair distribution function, contrast, and resolution and information content. The chapter is presented so as to promote an intuitive understanding of the theoretical foundations of solution scattering, rather than a rigorous treatment of them.
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49

Rangvid, Jesper. From Main Street to Wall Street. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198866404.001.0001.

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From Main Street to Wall Street examines the relation between the economy and the stock market. It discusses the academic theories and empirical facts, and guides readers through the fascinating interaction between economic activity and financial markets. Itexamines what causes long-run economic growth and shorter-term business-cycle fluctuations and analyses their impact on stock markets. From Main Street to Wall Street also discusses how investors can use knowledge of economic activity and financial markets to formulate expectations to future stock returns. The book relies on data, and figures and tables illustrate arguments and theories in intuitive ways.In the end, From Main Street to Wall Street helps academic scholars and practitioners navigate financial markets by understanding the economy.
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50

Montgomery, Erwin B. Oscillator Basics. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259600.003.0016.

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This chapter uses metaphors to help programmers picture the basic concepts of oscillators. At the least, DBS can be considered as oscillatory stimulation of the nervous system and increasingly, it is likely that the nervous system operates on the bases of neuronal and neural oscillators. Thus, a fundamental understanding of oscillators, particularly their features, is important. The defining feature of oscillatory activity is the recurrence or repetition of a phenomenon, such as the repetitive flashing of a light at a railroad crossing. This chapter uses the metaphor of a racecar circling on a racetrack that become increasing more complicated. The metaphors provide an appreciation of the features and properties of oscillators, such as amplitude, frequency, phase, period, and reasonance. The metaphors also provide an intuitive understanding of the methods used to decompose and analyze complex oscillators such as the Fourier Transform.
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