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Dynamic knowledge representation in scientific domains / Cyril Pshenichny, Paolo Diviacco, and Dmitry Mouromtsev, editors. — 1 online resource. — <URL:http://elib.fa.ru/ebsco/1715893.pdf>.Record create date: 2/22/2018 Subject: Communication in science.; Communication of technical information.; Information technology — Social aspects.; Communication in science.; Communication of technical information.; Information technology — Social aspects.; SCIENCE / Philosophy & Social Aspects Collections: EBSCO Allowed Actions: –
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"This book focuses on the IT field from the outlook of industry professionals and covers multidisciplinary themes such as human resource management, sociology, psychology, and management along with technology itself. It links theory with application or critically analyzing cases with the objective of identifying good practice in the management of IT human capital"--.
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Table of Contents
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Foreword
- Preface
- Section 1: Theory of Multitudes and Related Methodological Issues
- Chapter 1: Theory of Multitudes as an Alternative to the Set Theory
- Chapter 2: Qualitative and Quantitative Formalisms for Knowledge Representation in the Theory of Multitudes
- Chapter 3: Scenarios in Event Bushes
- Chapter 4: On Formalization and Representation in Collaborative Research
- Section 2: Dynamic Knowledge Representation in Geosciences
- Chapter 5: Qualitative Modeling of Ice Sheet Accumulation for Identification of Mass Balance Variation
- Chapter 6: Conceptualization of the Dike Distribution Analysis Aiming at Identification of Eruptive Centers
- Chapter 7: Formation of Faden Quartz Druses in Mid-Carboniferous Sandstones of the Donetsk Basin
- Chapter 8: An Approach to Improve Bayesian Inference in Assessment of Coast Evolution
- Chapter 9: Modeling of Geological Evolution of the Gulf of Mannar Area, South India, by the Event Bush Method
- Chapter 10: Modeling Spatial Evolution
- Section 3: Dynamic Knowledge Representation in Other Domains
- Chapter 11: Biography as Scenario
- Chapter 12: Dynamic Knowledge Representation as a Formalization Conveyor for Manmade Systems With Useful Impulse
- Chapter 13: Petri Net vs. Event Bush in Description of Environments of Alternative Directed Changes
- Chapter 14: The Event Bush Method in the Light of Typed Graphs Illustrated by Common Sense Reasoning
- Chapter 15: First Results of Formalization of Drilling Knowledge by the Event Bush Method
- Compilation of References
- About the Contributors
- Index
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