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Books on the topic 'Approximate logics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Elkan, Charles. Incremental, approximate planning: Preliminary report. Toronto: Computer Science Dept., University of Toronto, 1989.

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2

Gerla, Giangiacomo. Fuzzy Logic: Mathematical Tools for Approximate Reasoning. Dordrecht: Springer Netherlands, 2001.

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3

Fuzzy logic: Mathematical tools for approximate reasoning. Dordrecht: Kluwer Academic Publishers, 2001.

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4

Fuzziness and approximate reasoning: Epistemics on uncertainty, expectation and risk in rational behavior. Berlin: Springer, 2009.

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5

Relander, Sami. Towards approximate reasoning on new software product company success potential estimation: A design science based fuzzy logic expert system. [Helsinki]: Helsinki School of Economics, 2008.

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6

Jonathan, Barnes. Logic and the imperial Stoa. New York: Brill, 1997.

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7

Categories and logic in Duns Scotus: An interpretation of Aristotle's Categories in the late thirteenth century. Leiden: Brill, 2002.

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8

Borzyh, Stanislav. Theory of the possible. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1074108.

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In this book, we are talking about a single principle that permeates every organized entity, regardless of what sphere it belongs to. Everywhere and always, and in accordance with the current circumstances, the process of formation, support and regulation of any complex complexes and ensembles is guided and controlled by the concept of the realizable, which postulates that only what is stable and stable will be realized, and everything else will be discarded as untenable and unbalanced. These patterns and patterns can be traced resolutely at all levels of existence. And the universe, and life,
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9

Gerla, G. Fuzzy Logic: Mathematical Tools for Approximate Reasoning. Springer, 2013.

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10

Gerla, G. Fuzzy Logic: Mathematical Tools for Approximate Reasoning (Trends in Logic). Springer, 2001.

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11

Jeffrey, Spooner, ed. Stable adaptive control and estimation for nonlinear systems: Neural and fuzzy approximator techniques. New York: Wiley, 2002.

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12

Spooner, Jeffrey T., Manfredi Maggiore, Raúl Ordóñez, and Kevin M. Passino. Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques. Wiley-Interscience, 2001.

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13

Demonstration and Scientific Knowledge in William of Ockham: A Translation of Summa Logicae III-II: De Syllogismo Demonstrativo, and Selections from the Prologue to the Ordinatio. University of Notre Dame Press, 2007.

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14

Pini, Giorgio. Categories and Logic in Duns Scotus: An Interpretation of Aristotle's Categories in the Late Thirteenth Century (Studien Und Texte Zur Geistesgeschichte Des Mittelalters). Brill Academic Publishers, 2001.

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15

Tritten, Tyler. Boutroux’s Alternative: An Ontology of the Fact. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474428194.003.0003.

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Boutroux, approximately 150 years prior to Meillassoux, already argued for the contingency of laws of nature, as well as truths of logic and mathematics. Boutroux, however, does not espouse factiality, namely, the necessity of contingent beings, but he rather offers a veritable ontology of the fact. Boutroux does not abandon necessity, but he does show how all necessity is itself consequent, that is, a matter of fact. He does this by arguing for the laws of nature as nothing but the habit of nature, which springs not from chance but from spontaneity. Being bottoms out in pontaneity rather than
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16

Verleiblichung Und Synergie: Grundzuge Der Bibelhermeneutik Bei Maximus Confessor (Vigiliae Christianae, Supplements, 63). Brill Academic Publishers, 2003.

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