Theoretical Information Reuse And Integration
Download Theoretical Information Reuse And Integration PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Theoretical Information Reuse And Integration book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Theoretical Information Reuse and Integration
Author: Thouraya Bouabana-Tebibel
language: en
Publisher: Springer
Release Date: 2016-04-02
Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known. The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.
Quality Software Through Reuse and Integration
This book presents 13 high-quality research articles that provide long sought-after answers to questions concerning various aspects of reuse and integration. Its contents lead to the inescapable conclusion that software, hardware, and design productivity – including quality attributes – is not bounded. It combines the best of theory and practice and contains recipes for increasing the output of our productivity sectors. The idea of improving software quality through reuse is not new. After all, if software works and is needed, why not simply reuse it? What is new and evolving, however, is the idea of relative validation through testing and reuse, and the abstraction of code into frameworks for instantiation and reuse. Literal code can be abstracted. These abstractions can in turn yield similar codes, which serve to verify their patterns. There is a taxonomy of representations from the lowest-level literal codes to their highest-level natural language descriptions. As a result, product quality is improved in proportion to the degree of reuse at all levels of abstraction. Any software that is, in theory, complex enough to allow for self-reference, cannot be certified as being absolutely valid. The best that can be attained is a relative validity, which is based on testing. Axiomatic, denotational, and other program semantics are more difficult to verify than the codes, which they represent! But, are there any limits to testing? And how can we maximize the reliability of software or hardware products through testing? These are essential questions that need to be addressed; and, will be addressed herein.
Decision Theory With Imperfect Information
Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which probabilities and events are imprecise. In this book, we describe a new theory of decision making with imperfect information. The aim is to shift the foundation of decision analysis and economic behavior from the realm bivalent logic to the realm fuzzy logic and Z-restriction, from external modeling of behavioral decisions to the framework of combined states.This book will be helpful for professionals, academics, managers and graduate students in fuzzy logic, decision sciences, artificial intelligence, mathematical economics, and computational economics.