Information Processing And Management

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations Book PDF

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 835 pages
File Size : 41,7 Mb
Release : 2018-05-30
Category : Computers
ISBN : 9783319914732

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Human-Centered Artificial Intelligence

Chang S. Nam,Jae-Yoon Jung,Sangwon Lee
Human Centered Artificial Intelligence Book PDF

Author : Chang S. Nam,Jae-Yoon Jung,Sangwon Lee
Publisher : Academic Press
Page : 314 pages
File Size : 41,8 Mb
Release : 2022-05-15
Category : Education
ISBN : 9780323856492

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Human-Centered Artificial Intelligence by Chang S. Nam,Jae-Yoon Jung,Sangwon Lee Pdf

Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As human-centered AI aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, this book is an ideal update on the latest advances. Presents extensive research on human-centered AI technology Provides different methods and techniques used to investigate human-AI interaction Discusses open questions and challenges in trust within human-centered AI Explores how human-centered AI changes and operates in human-machine interactions

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Book PDF

Author : Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer Nature
Page : 779 pages
File Size : 46,5 Mb
Release : 2020-06-05
Category : Computers
ISBN : 9783030501464

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Information Processing and Management

Vinu V Das,R. Vijayakumar,Narayan C. Debnath,Janahanlal Stephen,Natarajan Meghanathan,Suresh Sankaranarayanan,P.M. Thankachan,Ford Lumban Gaol,Nessy Thankachan
Information Processing and Management Book PDF

Author : Vinu V Das,R. Vijayakumar,Narayan C. Debnath,Janahanlal Stephen,Natarajan Meghanathan,Suresh Sankaranarayanan,P.M. Thankachan,Ford Lumban Gaol,Nessy Thankachan
Publisher : Springer
Page : 680 pages
File Size : 44,7 Mb
Release : 2010-04-03
Category : Computers
ISBN : 9783642122149

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Information Processing and Management by Vinu V Das,R. Vijayakumar,Narayan C. Debnath,Janahanlal Stephen,Natarajan Meghanathan,Suresh Sankaranarayanan,P.M. Thankachan,Ford Lumban Gaol,Nessy Thankachan Pdf

It is my pleasure to write the preface for Information Processing and Management. This book aims to bring together innovative results and new research trends in inf- mation processing, computer science and management engineering. If an information processing system is able to perform useful actions for an obj- tive in a given domain, it is because the system knows something about that domain. The more knowledge it has, the more useful it can be to its users. Without that kno- edge, the system itself is useless. In the information systems field, there is conceptual modeling for the activity that elicits and describes the general knowledge a particular information system needs to know. The main objective of conceptual modeling is to obtain that description, which is called a conceptual schema. Conceptual schemas are written in languages called conceptual modeling languages. Conceptual modeling is an important part of requi- ments engineering, the first and most important phase in the development of an inf- mation system.

Information Processing and Management

Claudia Graham,Andrew Meyenn,Kris Thatcher
Information Processing and Management Book PDF

Author : Claudia Graham,Andrew Meyenn,Kris Thatcher
Publisher : Jacaranda
Page : 0 pages
File Size : 47,5 Mb
Release : 2003
Category : Electronic data processing
ISBN : 0701636939

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Information Processing and Management by Claudia Graham,Andrew Meyenn,Kris Thatcher Pdf

Information Processing and Management 3E has beenspecifically developed for Units 3 & 4 of the new VCE Information Processingand Management course. Series features: Precise coverage of the study design dot points. Learning activities linked specifically to key knowledge and skills. Assessment advice and tasks in a section at the end of each unit called Achieving the outcomes . Summary , review questions and outcome tasks atthe end of each chapter to aid study and test preparation. New full-colour design. An easy-to-read format, including a glossary, which helps students locateinformation readily. More updated and interesting case studies to show the application ofinformation technology.

Modern Information Processing

Bernadette Bouchon-Meunier,Giulianella Coletti,Ronald R. Yager
Modern Information Processing Book PDF

Author : Bernadette Bouchon-Meunier,Giulianella Coletti,Ronald R. Yager
Publisher : Elsevier
Page : 478 pages
File Size : 41,7 Mb
Release : 2011-10-13
Category : Computers
ISBN : 0080461697

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Modern Information Processing by Bernadette Bouchon-Meunier,Giulianella Coletti,Ronald R. Yager Pdf

The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas. The book is composed by 7 sections: UNCERTAINTY PREFERENCES CLASSIFICATION AND DATA MINING AGGREGATION AND MULTI-CRITERIA DECISION MAKING KNOWLEDGE REPRESENTATION •The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. •The book can help to build brigs among theories and methods methods for the management of uncertainty. •The book addresses issues which have a position of centrality in our information-centric world. •The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). •The book contributes to the goal: an efficient use of the information for a good decision strategy. APPLIED DOMAINS · The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. · The book can help to build brigs among theories and methods methods for the management of uncertainty. · The book addresses issues which have a position of centrality in our information-centric world. · The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). · The book contributes to the goal: an efficient use of the information for a good decision strategy.

The Information Processing Theory of Organization

John L. Kmetz
The Information Processing Theory of Organization Book PDF

Author : John L. Kmetz
Publisher : Routledge
Page : 368 pages
File Size : 41,5 Mb
Release : 2018-11-09
Category : Business & Economics
ISBN : 9780429780837

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The Information Processing Theory of Organization by John L. Kmetz Pdf

First published in 1998, revised in 2021, this volume develops and tests an information-processing model of organization, within the context of the accession of a new generation of a production technology. The model conceptualizes organizations as systems which accomplish their objectives through the processing of information. The book begins with the conceptual basis of the theory, developing the fundamental concepts of information, information processing, and technology. The accession of an automatic avionics tester during the 1970s and 1980s is the change in production technology used to test the theory. The theory is tested by mapping and analysing performance with a three-wave longitudinal field experiment and objective performance measures in the workflow of a very complex system, the U.S. Navy’s avionics maintenance organization. The information processing capacity of the system is shown to be the primary determinant of system performance, with or without the use of information technology. Additional support for the theory comes from newer test and information technologies deployed in the 1980s and 1990s. Implications of this theory for current generations of test technology are provided in the final chapters, along with further development of the theory and its general application to many types of organizations.

An Introduction to Information Processing

Harvey M. Dietel,Barbara Deitel
An Introduction to Information Processing Book PDF

Author : Harvey M. Dietel,Barbara Deitel
Publisher : Academic Press
Page : 478 pages
File Size : 51,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483214016

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An Introduction to Information Processing by Harvey M. Dietel,Barbara Deitel Pdf

An Introduction to Information Processing provides an informal introduction to the computer field. This book introduces computer hardware, which is the actual computing equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the evolution of personal computing and includes detailed case studies on two of the most essential personal computers for the 1980s, namely, the IBM Personal Computer and Apple's Macintosh. This text then traces the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. Other chapters consider the components and operation of typical data communications systems. This book discusses as well the various types of communications networks and communications via space satellites. The final chapter deals with software or computer programs, the sets of instructions that programmers write to inform the computer how to solve particular problems. This book is a valuable resource for computer specialists, mathematicians, and computer programmers.

Information Processing and Management of Uncertainty

Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty Book PDF

Author : Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 603 pages
File Size : 54,8 Mb
Release : 2014-07-17
Category : Computers
ISBN : 9783319087955

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Information Processing and Management of Uncertainty by Anne Laurent,Olivier Strauss,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Eyke Hüllermeier,Rudolf Kruse,Frank Hoffmann
Information Processing and Management of Uncertainty in Knowledge Based Systems Book PDF

Author : Eyke Hüllermeier,Rudolf Kruse,Frank Hoffmann
Publisher : Springer
Page : 764 pages
File Size : 44,8 Mb
Release : 2010-06-29
Category : Computers
ISBN : 9783642140556

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Eyke Hüllermeier,Rudolf Kruse,Frank Hoffmann Pdf

The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticians and practitioners working in these areas and related ?elds. The 13 IPMU conference took place in Dortmund, Germany, June 28–July 2, 2010. This volume contains 79 papers selected through a rigorous reviewing process. The contributions re?ect the richness of research on topics within the scope of the conference and represent several important developments, speci?cally focused on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), Nihkil R. Pal (Indian Statistical Institute), Bernhard Sch ̈ olkopf (Max Planck I- titute for Biological Cybernetics, Tubing ̈ en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc ̈ ken) accepted our invitations to present keynote lectures. Jim Bezdek received the Kamp ́ede F ́ eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty in clustering, data analysis and pattern recognition.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Joao Paulo Carvalho,Marie-Jeanne Lesot,Uzay Kaymak,Susana Vieira,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Book PDF

Author : Joao Paulo Carvalho,Marie-Jeanne Lesot,Uzay Kaymak,Susana Vieira,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 836 pages
File Size : 53,6 Mb
Release : 2016-06-10
Category : Computers
ISBN : 9783319405810

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Joao Paulo Carvalho,Marie-Jeanne Lesot,Uzay Kaymak,Susana Vieira,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This two volume set (CCIS 610 and 611) constitute the proceedings of the 16th International Conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016, held in Eindhoven, The Netherlands, in June 2016. The 127 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy measures and integrals; uncertainty quantification with imprecise probability; textual data processing; belief functions theory and its applications; graphical models; fuzzy implications functions; applications in medicine and bioinformatics; real-world applications; soft computing for image processing; clustering; fuzzy logic, formal concept analysis and rough sets; graded and many-valued modal logics; imperfect databases; multiple criteria decision methods; argumentation and belief revision; databases and information systems; conceptual aspects of data aggregation and complex data fusion; fuzzy sets and fuzzy logic; decision support; comparison measures; machine learning; social data processing; temporal data processing; aggregation.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Book PDF

Author : Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer Nature
Page : 816 pages
File Size : 54,8 Mb
Release : 2020-06-05
Category : Computers
ISBN : 9783030501433

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Davide Ciucci,Inés Couso,Jesús Medina,Dominik Ślęzak,Davide Petturiti,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Book PDF

Author : Davide Ciucci,Inés Couso,Jesús Medina,Dominik Ślęzak,Davide Petturiti,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer Nature
Page : 825 pages
File Size : 55,5 Mb
Release : 2022-07-04
Category : Computers
ISBN : 9783031089718

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Davide Ciucci,Inés Couso,Jesús Medina,Dominik Ślęzak,Davide Petturiti,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.

Advances in Neural Information Processing Systems 10

Michael I. Jordan,Michael J. Kearns,Sara A. Solla
Advances in Neural Information Processing Systems 10 Book PDF

Author : Michael I. Jordan,Michael J. Kearns,Sara A. Solla
Publisher : MIT Press
Page : 1114 pages
File Size : 41,9 Mb
Release : 1998
Category : Computers
ISBN : 0262100762

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Advances in Neural Information Processing Systems 10 by Michael I. Jordan,Michael J. Kearns,Sara A. Solla Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.

Information Processing and Living Systems

Vladimir B. Baji?,Tin Wee Tan
Information Processing and Living Systems Book PDF

Author : Vladimir B. Baji?,Tin Wee Tan
Publisher : World Scientific
Page : 799 pages
File Size : 48,6 Mb
Release : 2005
Category : Science
ISBN : 9781860945632

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Information Processing and Living Systems by Vladimir B. Baji?,Tin Wee Tan Pdf

Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels.This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with ?artificial? processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing.Since ?artificial? processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.