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1
Content available Kognitywne aplikacje dla znaczeniowej analizy danych
Ogiela L., Srebrny D.
Pomiary Automatyka Kontrola
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2012
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R. 58, nr 2
210-213
PL
W pracy przedstawione zostaną kognitywne systemy informacyjne dedykowane zagadnieniom analizy i interpretacji danych ekonomicznych. Prezentowane w niniejszej pracy systemy znaczeniowej analizy danych są przykładem systemów klasy UBMSS (Understaning Based Management Support Systems). Systemy UBMSS zostaną przedstawione na przykładzie dwu aplikacji odnoszących się do oceny płynności przedsiębiorstwa oraz do analizy przepływów pieniężnych w przedsiębiorstwie.
EN
This paper presents cognitive information systems for analysis and interpretation of economical data. The semantic data analysis systems are examples of UBMSS (Understanding Based Management Support Systems) systems presented in this publication on two examples - for estimation of the enterprise liquidity and analysis of the financial-cash flow. One of the UBMSS systems is dedicated to analysis of solvency (very good solvency, good solvency, poor or very poor solvency) of the enterprise ratio. The second one of the analyzed systems is used for assessing the cash flow structure - favourable or unfavourable structure of financial flow and risky structure of cash flow. UBMSS systems for cognitive analysis and semantic interpretation of the analyzed economical and financial data are also dedicated to analysis of other kinds of economical data, for example cash to current liabilities ratio, balance of payment, etc.
2
Content available Znaczenie informatyki kognitywnej na przykładzie systemów klasy UBIAS
Ogiela L.
Pomiary Automatyka Kontrola
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2011
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R. 57, nr 2
212-214
PL
W niniejszej pracy zostanie zaprezentowana idea systemów kognitywnej kategoryzacji występująca w obszarze informatyki kognitywnej, na przykładzie systemów analizy obrazowej - systemów klasy UBIAS. Systemy kognitywnej kategoryzacji prowadzą semantycznie zorientowane procesy analizy danych, tj. analizy znaczeniowe w oparciu o zawartości semantyczne analizowanych zbiorów danych. Procesy kognitywnej analizy danych prowadzą do wnikliwej interpretacji i rozumienia danych różnego rodzaju. W niniejszej pracy zostanie zaprezentowana wybrana klasa systemów kognitywnej kategoryzacji - systemy klasy UBIAS (Understanding Based Image Analysis Systems) zwane systemami analizy obrazowej.
EN
This paper deals with an idea of cognitive categorisation systems used in the cognitive informatics field on example of image analysis systems - UBIAS. Cognitive categorisation systems execute semantically-oriented data analysis processes, i.e. analyse meaning based on the semantic contents of analysed data sets [7-11, 13, 14]. Cognitive data analysis processes lead to the in-depth interpretation and understanding of various types of data (Section 1. Introduction). This paper presents a selected class of cognitive categorisation systems called the UBIAS (Understanding Based Image Analysis Systems), also referred to as image analysis systems (Section 2. UBIAS Systems). Moreover, there are described some aspects of cognitive analysis and cognitive resonance in the classical and the new process of data analysis and understanding. The most important aspects of cognitive informatics reasoning for selected intelligent IT systems [1-6, 12, 15, 16] are linguistics methods and semantics meaning of data analysis [7-11, 13, 14] (Section 3. Conclusions).
3
Content available Inteligencja obliczeniowa w wybranych kognitywnych systemach informatycznych
Ogiela L., Tadeusiewicz R.
Pomiary Automatyka Kontrola
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2011
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R. 57, nr 2
215-219
PL
W pracy są przedstawione najważniejsze zagadnienia związane z tematyką kognitywnej kategoryzacji dla kognitywnych systemów informacyjnych. Początkowo jest dokonana klasyfikacja systemów kognitywnej analizy danych oraz ich geneza i rozwój, a w dalszej części pracy omówiona jest klasa systemów UBMSS (Understanding Based Management Support Systems). Klasa UBMSS jest swoistego rodzaju automatycznym wspomaganiem procesu podejmowania decyzji strategiczno-finansowych przedsiębiorstw. W odniesieniu do omawianej tematyki klasa systemów UBMSS jest przedstawiona jako element wspomagający zarządzanie jednostkami.
EN
Key problems of cognitive categorization in cognitive information systems are presented in the publication. Cognitive data analysis systems will first be classified, then their genesis and development will be presented, and then their main class will be discussed - UBMSS (Understanding Based Management Support Systems). UBMSS systems provide automatic support for the strategic and financial decision-making process in enterprises. Due to the subject discussed here, UBMSS systems will be presented as assets supporting the management of units. This publication presented intelligent systems for cognitive data analysis and categorization with a particular emphasis on strategic analysis systems used to analyse financial and economical data. This type of systems used to interpret, analyse and reason work following the operating principles of cognitive information system. Cognitive systems interpret all data by extracting semantic levels from them. Thus the course of human processes of leaning about the described phenomenon becomes the foundation for developing cognitive systems which are called cognitive data analysis systems.
4
Content available remote Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)
Wang Y., Zhang D., Tsumoto S.
Fundamenta Informaticae
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2009
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Vol. 90, nr 3
i-vii
EN
Cognitive Informatics is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, software engineering, AI, cybernetics, cognitive science, neuropsychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. This editorial introduces the emerging field of cognitive informatics and its applications in cognitive computing, abstract intelligence, computational mathematics, and computational intelligence. The themes and structure of this special issue on cognitive informatics are described, and then, focuses of the selected papers in this special issue are highlighted.
5
Content available remote Preface: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)
Wang Y., Zhang D., Tsumoto S.
Fundamenta Informaticae
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2009
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Vol. 90, nr 4
I-VII
EN
Cognitive Informatics is a cutting-edge and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, software engineering, AI, cybernetics, cognitive science, neuropsychology, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. This editorial introduces the emerging field of cognitive informatics and its applications in cognitive computing, abstract intelligence, computational mathematics, and computational intelligence. The themes and structure of this special issue on cognitive informatics are described, and then, focuses of the selected papers in Part II of this special issue are highlighted.
6
Content available remote Paradigms of Denotational Mathematics for Cognitive Informatics and Cognitive Computing
Wang Y.
Fundamenta Informaticae
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2009
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Vol. 90, nr 3
283-303
EN
The abstract, rigorous, and expressive needs in cognitive informatics, intelligence science, software science, and knowledge science lead to new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of expressive mathematical structures that deals with high level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, and systems. Denotational mathematics is usually in the form of abstract algebra that is a branch of mathematics in which a system of abstract notations is adopted to denote relations of abstract mathematical entities and their algebraic operations based on given axioms and laws. Four paradigms of denotational mathematics, known as concept algebra, system algebra, Real-Time Process Algebra (RTPA), and Visual Semantic Algebra (VSA), are introduced in this paper. Applications of denotational mathematics in cognitive informatics and computational intelligence are elaborated. Denotational mathematics is widely applicable to model and manipulate complex architectures and behaviors of both humans and intelligent systems, as well as long chains of inference processes.
7
Content available remote A Formal Syntax of Natural Languages and the Deductive Grammar
Wang Y.
Fundamenta Informaticae
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2009
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Vol. 90, nr 4
353-368
EN
This paper presents a formal syntax framework of natural languages for computational linguistics. The abstract syntax of natural languages, particularly English, and their formal manipulations are described. On the basis of the abstract syntax, a universal language processing model and the deductive grammar of English are developed toward the formalization of Chomsky's universal grammar in linguistics. Comparative analyses of natural and programming languages, as well as the linguistic perception on software engineering, are discussed. A wide range of applications of the deductive grammar of English have been explored in language acquisition, comprehension, generation, and processing in cognitive informatics, computational intelligence, and cognitive computing.
8
Content available remote A Doctrine of Cognitive Informatics (CI)
Wang Y., Kinsner W., Anderson J.A., Zhang D., Yao Y., Sheu P., Tsai J., Pedrycz W., Latombe J-C., Zadeh L.A., Patel D., Cha Ch.
Fundamenta Informaticae
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2009
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Vol. 90, nr 3
203-228
EN
Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach. CI develops a coherent set of fundamental theories and denotational mathematics, which form the foundation for most information and knowledge based science and engineering disciplines such as computer science, cognitive science, neuropsychology, systems science, cybernetics, software engineering, knowledge engineering, and computational intelligence. This paper reviews the central doctrine of CI and its applications. The theoretical framework of CI is described on the architecture of CI and its denotational mathematic means. A set of theories and formal models of CI is presented in order to explore the natural and computational intelligence. A wide range of applications of CI are described in the areas of cognitive computers, cognitive properties of knowledge, simulations of human cognitive behaviors, cognitive complexity of software, autonomous agent systems, and computational intelligence.
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