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Books on the topic 'Inductive logic approach'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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1

Raedt, Luc de. Interactive theory revision: An inductive logic programming approach. Academic Press, 1992.

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2

Kersting, Kristian. An inductive logic programming approach to statistical relational learning. IOS Press, 2006.

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3

Bhattacharjee, Sukhendu. Twin problems of causality and induction: A Neo-Humean approach. Firma KLM Private Limited, 2013.

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4

Schmid, Ute. Approaches and Applications of Inductive Programming: Third International Workshop, AAIP 2009, Edinburgh, UK, September 4, 2009. Revised Papers. Springer-Verlag Berlin Heidelberg, 2010.

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5

Reddy, Chandrasekhara K. Learning hierarchical decomposition rules for planning: An inductive logic programming approach. 1998.

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6

Ternovska, Evgenia. The situation calculus: Decidability and an approach based on the logic for non-monotone inductive definitions. 2002.

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7

An Inductive Logic Programming Approach to Statistical Relational Learning (Frontiers in Artificial Intelligence and Applications, Vol. 148) (Frontiers in Artificial Intelligence and Applications). IOS Press, 2006.

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8

Shulman, Michael. Homotopy Type Theory: A Synthetic Approach to Higher Equalities. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0003.

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Homotopy type theory and univalent foundations (HoTT/UF) is a new foundation of mathematics, based not on set theory but on “infinity-groupoids”, which consist of collections of objects, ways in which two objects can be equal, ways in which those ways-to-be-equal can be equal, ad infinitum. Though apparently complicated, such structures are increasingly important in mathematics. Philosophically, they are an inevitable result of the notion that whenever we form a collection of things, we must simultaneously consider when two of those things are the same. The “synthetic” nature of HoTT/UF enable
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9

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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10

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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11

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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12

Feeney, Aidan, and Evan Heit. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2010.

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13

(Editor), Aidan Feeney, and Evan Heit (Editor), eds. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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14

(Editor), Aidan Feeney, and Evan Heit (Editor), eds. Inductive Reasoning: Experimental, Developmental, and Computational Approaches. Cambridge University Press, 2007.

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15

Huth, Michael, Bernhard Steffen, and Oliver Rüthing. Mathematical Foundations of Advanced Informatics : Volume 1: Inductive Approaches. Springer, 2018.

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16

Huth, Michael, Bernhard Steffen, and Oliver Rüthing. Mathematical Foundations of Advanced Informatics : Volume 1: Inductive Approaches. Springer, 2019.

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17

(Editor), Peter Broeder, and Jaap Murre (Editor), eds. Models of Language Acquisition: Inductive and Deductive Approaches. Oxford University Press, 2000.

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18

King, Colin Guthrie, and Venanzio Raspa, eds. Aristotle’s Organon in Old and New Logic. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350372214.

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Aristotle’s Organon in Old and New Logic 1800–1950explores the reception and interpretation of Aristotle’s logic over the last two centuries. The volume covers seminal works during this period by logicians, historians of logic, and historians of philosophy, including John Lloyd Akrill, Francesco Barone, Günther Patzig, Enrico Berti, and Mario Mignucci. Contributors consider the reception of the Organon in old logic and chart the appearance of formal approaches to logic beginning with Boole. This in-depth study of Aristotelianism also covers logic in Kant and Hegel, alongside the problems and p
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19

Ahram, Ariel I. Comparative Area Studies and the Analytical Challenge of Diffusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190846374.003.0009.

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This chapter examines the contribution of comparative area studies (CAS) in explaining global diffusionary processes. Diffusion is a methodological and theoretical challenge to all social science inquiry. CAS innovates beyond traditional area studies by emphasizing three distinct comparative strategies: intra-regional, interregional, and cross-regional. Each strategy rests on different ontological bases and deploys different logics to explain its comparative choices. Collectively, though, these three approaches provide an integrated perspective on how political processes transcend national and
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