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Expert systems (Computer science) --- Database management --- Systèmes experts (Informatique) --- Bases de données --- Gestion --- Systèmes experts (Informatique) --- Bases de données
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Expert systems (Computer science) --- Artificial intelligence --- Systèmes experts (Informatique) --- Intelligence artificielle --- Artificial intelligence. --- Expertsystemen. --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- informatietechnologie --- Computer. Automation --- Computer systems --- Soft computing --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- General and Others. --- Information Technology. --- Information Technology --- Mathematical Sciences --- General and Others --- Applied Mathematics --- Computer. Informatica. Automatisering --- Expert systems (Computer science) - Periodicals --- Artificial intelligence - Periodicals --- Systèmes experts (Informatique) - Périodiques --- Intelligence artificielle - Périodiques
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Managing Knowledge reverses the status quo argument that organisational change is driven by the specific demands of large companies. Instead of viewing firms as the catalysts for gradual change, Albert and Bradley argue that expert professionals have fuelled a break away from the traditional organisational structure to an organisational structure at the heart of which is an agent and/or an agency system. The authors draw our attention to the growing phenomenon of atypical work manifested in workforce flexibility, mobility, the feminisation of professional employment, and technological changes. They focus upon a group of knowledge-based employees - experts - who increasingly have influence over work and wealth creation. Case studies are developed from companies including AT and T, the Hollywood film industry, London accounting firms, and specialised agencies such as Labforce and Knowledge Net.
Information technology --- Knowledge acquisition (Expert systems) --- Commercial agents. --- Expertise. --- Specialists. --- Professional employees. --- Women in the professions. --- Professions --- Professionals --- Employees --- Authorities (Persons) --- Experts --- Persons --- Intellectuals --- Specialization --- Knowledge, Theory of --- Ability --- Agents, Commercial --- Business agents --- Agency (Law) --- Commission merchants --- Acquisition, Knowledge (Expert systems) --- Expertise acquisition (Expert systems) --- Expert systems (Computer science) --- Management. --- Commercial agents --- Expertise --- Professional employees --- Specialists --- Women in the professions --- 65.012.4 --- Management --- 65.012.4 Management. Directorate. Technique and methods of management --- Management. Directorate. Technique and methods of management --- Agents commerciaux --- Savoir-faire --- Technologie de l'information --- Acquisition des connaissances (Systèmes experts) --- Professionnels salariés --- Gestion --- Business, Economy and Management --- Economics --- Information technology - Management. --- Knowledge acquisition (Expert systems) - Management.
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Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.
Expert systems (Computer science) --- Expertsystemen (Informatica) --- Systèmes experts (Informatique) --- 519.25 --- Statistical data handling --- 519.25 Statistical data handling --- Multisensor data fusion --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Artificial intelligence --- Computer systems --- Soft computing --- Mathematics --- Applied mathematics. --- Engineering mathematics. --- Artificial intelligence. --- Statistics . --- Applications of Mathematics. --- Artificial Intelligence. --- Statistics, general. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis
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