Information Processing : Boolean Algebra, Classical Logic, Cellular Automata, and Probability Manipulation by David Blower (2011, Trade Paperback)

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About this product

Product Identifiers

PublisherCreateSpace
ISBN-101460938380
ISBN-139781460938386
eBay Product ID (ePID)108208328

Product Key Features

Number of Pages536 Pages
LanguageEnglish
Publication NameInformation Processing : Boolean Algebra, Classical Logic, Cellular Automata, and Probability Manipulation
SubjectGeneral, Probability & Statistics / Bayesian Analysis
Publication Year2011
TypeTextbook
AuthorDavid Blower
Subject AreaMathematics
FormatTrade Paperback

Dimensions

Item Height1.2 in
Item Weight40.2 Oz
Item Length10 in
Item Width7 in

Additional Product Features

Intended AudienceTrade
Dewey Edition23
IllustratedYes
Dewey Decimal003.56
SynopsisVolume I was corrected and revised in September 2017. This book begins the task of defining, explaining, arguing for, and, in the end, providing a rationale for information processing. Volume I is concerned with the notion that an information processor is mainly engaged in making inferences. An information processor would prefer to reach definite conclusions by using some form of deduction. Unfortunately, it is often thwarted in this desire by a fundamental lack of relevant information. Probability theory has developed as a rigorous way of dealing with the uncertainty surrounding inference. Thus, we begin by treating some of the formal manipulation rules that crop up in probability theory. To provide some foundational basis for the applications to appear in later Volumes, the topics of Boolean Algebra, Classical Logic, and Cellular Automata will make an appearance here., Volume I was corrected and revised in September 2017.This book begins the task of defining, explaining, arguing for, and, in the end, providing a rationale for information processing. Volume I is concerned with the notion that an information processor is mainly engaged in making inferences. An information processor would prefer to reach definite conclusions by using some form of deduction. Unfortunately, it is often thwarted in this desire by a fundamental lack of relevant information.Probability theory has developed as a rigorous way of dealing with the uncertainty surrounding inference. Thus, we begin by treating some of the formal manipulation rules that crop up in probability theory. To provide some foundational basis for the applications to appear in later Volumes, the topics of Boolean Algebra, Classical Logic, and Cellular Automata will make an appearance here.
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