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020 _a9781846286674
_99781846286674
024 7 _a10.1007/9781846286674
_2doi
035 _avtls000343941
039 9 _a201509030353
_bVLOAD
_c201405050300
_dVLOAD
_y201402061244
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aKendal, S. L.
_eautor
_9323315
245 1 3 _aAn Introduction to Knowledge Engineering /
_cby S. L. Kendal, M. Creen.
264 1 _aLondon :
_bSpringer London,
_c2007.
300 _ax, 287 páginas 33 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aAn Introduction to Knowledge Engineering -- Data, Information and Knowledge -- Skills of a Knowledge Engineer -- An Introduction to Knowledge Based Systems -- Types of Knowledge Based System-Expert Systems -- Neural Networks -- Case Based Reasoning.-Genetic Algorithms -- Intelligent Agents -- Data Mining-Knowledge Acquisition -- Knowledge Representation and Reasoning -- Using Knowledge -- Logic, Rules and Representation -- Developing Rule Based Systems -- Semantic Networks -- Frames -- Expert System Shells, Environments and Languages 169 -- Expert System Shells -- Expert System Development Environments -- Use of AI Languages -- Lifecycles and Methodologies -- The Need for Methodologies -- Blackboard Architectures -- Problem Solving Methods -- KADS-HyM (the Hybrid Methodology) -- Building a well Structured Application Using Aion BRE -- Uncertain Reasoning -- Hybrid Knowledge -- Based Systems -- Index.
520 _aKnowledge Engineering, as a discipline and a profession, has emerged from the practical application of decades of research into artificial intelligence and intelligent systems. In particular, knowledge engineering refers to the development of systems that use knowledge, rather than data, to solve many novel computing problems. This is achieved by the application of computing techniques, closely associated with human cognitive processes, for transforming data into knowledge. An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field. Its simple yet comprehensive treatment of knowledge based systems will provide the reader with a substantial grounding in such technologies as: •expert systems •neural networks •genetic algorithms •case based reasoning systems •data mining •intelligent agents. The text includes activities and self assessments that provide opportunities for the reader to reflect on and reinforce their understanding of the concepts as they progress. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as Knowledge Engineering, Artificial Intelligence, Intelligent systems, Cognitive Neuroscience, Robotics and Cybernetics. In addition, it is expected that anyone interested or involved in sophisticated information system developments will find the book a valuable source of ideas and guidance.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aCreen, M.
_eautor
_9323316
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781846284755
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-667-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c291856
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