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Paraconsistent Intelligent-Based Systems

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Cover of 'Paraconsistent Intelligent-Based Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Paraconsistent Logics: Preamble
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    Chapter 2 Constructive Discursive Logic: Paraconsistency in Constructivism
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    Chapter 3 Paraconsistent Annotated Logic Program EVALPSN and Its Applications
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    Chapter 4 The New Hardware Structure of the Emmy II Robot
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    Chapter 5 A Suggestion for Sample Size Determination Using an Instrument for Collecting Medical Data Based on Discrete Items
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    Chapter 6 Paraconsistent Logic Algorithms Applied to Seasonal Comparative Analysis with Biomass Data Extracted by the Fouling Process
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    Chapter 7 An Algorithmic Method Supported by Paraconsistent Annotated Logic Applied to the Determination of Friction Factors for Turbulent Flow in Smooth Pipes
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    Chapter 8 Paraconsistent Logic Study of Image Focus in Cylindrical Refraction Experiments
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    Chapter 9 Paraconsistent Artificial Neural Networks and Aspects of Pattern Recognition
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    Chapter 10 Paraconsistent Logic in Decision Making: Paraconsistent Decision Method (PDM)
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    Chapter 11 Paraconsistent Neurocomputing and Biological Signals Analysis
Attention for Chapter 3: Paraconsistent Annotated Logic Program EVALPSN and Its Applications
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Chapter title
Paraconsistent Annotated Logic Program EVALPSN and Its Applications
Chapter number 3
Book title
Paraconsistent Intelligent-Based Systems
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-19722-7_3
Book ISBNs
978-3-31-919721-0, 978-3-31-919722-7
Authors

Kazumi Nakamatsu, Jair Minoro Abe, Seiki Akama, Nakamatsu, Kazumi, Abe, Jair Minoro, Akama, Seiki

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%

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