Mark Burgin

Neoclassical analysis extends methods of classical calculus to reflect uncertainties that arise in computations and measurements. In it, ordinary structures of analysis, that is, functions, sequences, series, and operators, are studied by means of fuzzy concepts: fuzzy limits, fuzzy continuity, and fuzzy derivatives. For example, continuous functions, which are studied in the classical analysis, become a part of the set of the fuzzy continuous functions studied in neoclassical analysis. Aiming at representation of uncertainties and imprecision and extending the scope of the classical calculus and analysis, neoclassical analysis makes, at the same time, methods of the classical calculus more precise with respect to real life applications. Consequently, new results are obtained extending and even completing classical theorems. In addition, facilities of analytical methods for various applications also become more broad and efficient.

Calculus Closer to the Real World

Neoclassical Analysis

* The first exposition on super-recursive algorithms, systematizing all main classes and providing an accessible, focused examination of the theory and its ramifications * Demonstrates how these algorithms are more appropriate as mathematical models for modern computers and how they present a better framework for computing methods * Develops a new practically-oriented perspective on the theory of algorithms, computation, and automata, as a whole

Super-Recursive Algorithms

This book aims to synthesize different directions in knowledge studies into a unified theory of knowledge and knowledge processes. It explicates important relations between knowledge and information. It provides the readers with understanding of the essence and structure of knowledge, explicating operations and process that are based on knowledge and vital for society. The book also highlights how the theory of knowledge paves the way for more advanced design and utilization of computers and networks. Contents:IntroductionKnowledge Characteristics and TypologyKnowledge Evaluation and Validation in the Context of Epistemic StructuresKnowledge Structure and Functioning: Microlevel or Quantum Theory of KnowledgeKnowledge Structure and Functioning: Macrolevel or Theory of Average KnowledgeKnowledge Structure and Functioning: Megalevel or Global Theory of KnowledgeKnowledge Production, Acquisition, Engineering, and ApplicationKnowledge, Data, and InformationConclusion Readership: Graduate students and researchers in artificial intelligence and knowledge management.

Structures and Processes

Theory of Knowledge

Gordana Dodig Crnkovic

This volume provides a cutting-edge view of the world's leading authorities in fields where information and computation play a central role.

Essays on Scientific and Philosophical Understanding of Foundations of Information and Computation

Information and Computation

Presents a fresh approach to scientific understanding of information phenomena. Based on an analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this book offers a theory that synthesizes various directions into a unified system.

Fundamentality, Diversity and Unification

Theory of Information

This unique volume presents a new approach OCo the general theory of information OCo to scientific understanding of information phenomena. Based on a thorough analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this theory synthesizes existing directions into a unified system. The book explains how this theory opens new kinds of possibilities for information technology, information sciences, computer science, knowledge engineering, psychology, linguistics, social sciences, and education. The book also gives a broad introduction to the main mathematically-based directions in information theory. The general theory of information provides a unified context for existing directions in information studies, making it possible to elaborate on a comprehensive definition of information; explain relations between information, data, and knowledge; and demonstrate how different mathematical models of information and information processes are related. Explanation of information essence and functioning is given, as well as answers to the following questions: how information is related to knowledge and data; how information is modeled by mathematical structures; how these models are used to better understand computers and the Internet, cognition and education, communication and computation. Sample Chapter(s). Chapter 1: Introduction (354 KB). Contents: General Theory of Information; Statistical Information Theory; Semantic Information Theory; Algorithm Information Theory; Pragmatic Information Theory; Dynamics of Information. Readership: Professionals in information processing, and general readers interested in information and information processes.

Mark Burgin

About

Books

Join the club