The Theory of Info-Statics: Conceptual Foundations of Information and Knowledge (Record no. 79816)

000 -LEADER
fixed length control field 04387nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-61639-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221555.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170707s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319616391
-- 978-3-319-61639-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Dompere, Kofi K.
245 14 - TITLE STATEMENT
Title The Theory of Info-Statics: Conceptual Foundations of Information and Knowledge
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXIV, 197 p. 24 illus.
490 1# - SERIES STATEMENT
Series statement Studies in Systems, Decision and Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 The Theory of Information and Knowing: Ontology, Epistemology and Reality -- The Non-Standard Approach to The Theory of Information: Reflections on Definition and Measurement of Information -- The Theory of Info-Statics: An Epistemic Unity In Defining Information From Matter and Energy -- From The Ontological General Information Definition (Ogid) to The Epistemological General Information Definition (Egid) -- Information, Varieties, Categories, Ordering, and Socio-Natural Transmissions Over The Ontological and Epistemological Spaces -- The Concepts of Data, Fact and Evidence As a Chain of Conceptual Derivatives from Information.
520 ## - SUMMARY, ETC.
Summary, etc This book discusses the development of a theory of info-statics as a sub-theory of the general theory of information. It describes the factors required to establish a definition of the concept of information that fixes the applicable boundaries of the phenomenon of information, its linguistic structure and scientific applications. The book establishes the definitional foundations of information and how the concepts of uncertainty, data, fact, evidence and evidential things are sequential derivatives of information as the primary category, which is a property of matter and energy. The sub-definitions are extended to include the concepts of possibility, probability, expectation, anticipation, surprise, discounting, forecasting, prediction and the nature of past-present-future information structures. It shows that the factors required to define the concept of information are those that allow differences and similarities to be established among universal objects over the ontological and epistemological spaces in terms of varieties and identities. These factors are characteristic and signal dispositions on the basis of which general definitional foundations are developed to construct the general information definition (GID). The book then demonstrates that this definition is applicable to all types of information over the ontological and epistemological spaces. It also defines the concepts of uncertainty, data, fact, evidence and knowledge based on the GID. Lastly, it uses set-theoretic analytics to enhance the definitional foundations, and shows the value of the theory of info-statics to establish varieties and categorial varieties at every point of time and thus initializes the construct of the theory of info-dynamics.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-61639-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science—Mathematics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Applications in Computer Science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2198-4190 ;
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.