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1

Sloan, Noel. An automated requests management system: A case study in viewpoint analysis. The Author], 1997.

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2

United States. Bureau of Land Management. Automated Land and Mineral Record System (ALMRS) case recordation user guide. Bureau of Land Managment, 1987.

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3

United States. Federal Highway Administration., ed. Intelligent transportation systems in work zones: A case study : real-time work zone traffic control system : using an automated traffic information system to reduce congestion and improve safety during reconstruction of the I-55 Lake Springfield Bridge in Illinois. U.S. Dept. of Transportation, Federal Highway Administration, 2004.

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4

M, Tartt D., Agarwal A. K. 1949-, and Dryden Flight Research Facility, eds. Automated flight test management system. National Aeronautics and Space Administration, Dryden Flight Research Facility, 1991.

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5

Auditor, Montana Legislature Office of the Legislative. Performance audit report: Automated system development and maintenance, Department of Administration, Department of Social and Rehabilitation Services, Department of Labor and Industry. The Office, 1993.

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6

United States. Dept. of Justice. Civil Division, ed. Automated management information civil user system. U.S. Dept. of Justice, Civil Division, 1985.

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7

United States. Dept. of Justice. Civil Division., ed. Automated management information civil user system. U.S. Dept. of Justice, Civil Division, 1985.

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8

United States. Defense Logistics Agency. Systems Automation Center. Standard automated materiel management system: Codes. Defense Logistics Agency, Systems Automation Center], 1985.

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9

United States. Dept. of Justice. Civil Division., ed. Automated management information civil user system. U.S. Dept. of Justice, Civil Division, 1985.

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10

Office, General Accounting. Year 2000 computing crisis: Readiness of state automated systems to support federal welfare programs : report to Congressional requesters. The Office, 1998.

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11

Varlamov, Oleg. 18 examples of mivar expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with "Big Knowledge". The reader, after studying this tutorial, you will be able to create mivar expert system with the help of CASMI Wi!Mi. 
 Designed for students, bachelors, masters and postgraduate students studying artificial intelligence methods, as well as for users, experts and specialists, creating a system of information processing and management, mivar models, expert systems, automated control systems, systems of decision support and Recommender systems.
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12

Management, United States Bureau of Land. ALMRS: Automated Land and Mineral Record System. U.S. Dept. of the Interior, Bureau of Land Management, 1985.

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13

Williams, Mary Edith. CNET Program Automated Tracking System (CPATS) a comprehensive study. Naval Postgraduate School, 1987.

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14

President's Council on Integrity and Efficiency (U.S.), ed. Model framework for management control over automated information system. Executive Office of the President, Office of Management and Budget, 1988.

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15

Schwind, Cynthia E. Automated Manpower Analysis and Personnel Management System (AMA/PMS). Naval Postgraduate School, 1992.

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16

Marcella, Albert J. Automated system for contingency planning and disaster recovery. Institute of Internal Auditors, 1992.

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17

States, United. Automated digitizing system (ADS): User's manual. Bureau of Land Management, Denver Service Center, 1993.

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18

Bonomo, Joseph R. An overview of the Navy Automated Transportation Documentation System (NAVADS). Naval Postgraduate School, 1985.

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19

Board, NHS Management, and Great Britain. Resource Management Directorate., eds. Case mix management system: Core specification. Department of Health, 1989.

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20

Office, ALMRS Project. Automated Land and Mineral Record System, ALMRS: [current system description]. United States, Bureau of Land Management, ALMRS-GIS Project Office, 1988.

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21

United States. Bureau of Land Management. ALMRS-GIS Project Office. Automated Land and Mineral Record System, ALMRS: [current system description]. United States, Bureau of Land Management, ALMRS-GIS Project Office, 1988.

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22

United States. National Aeronautics and Space Administration., ed. Automated Procurement System (APS) revised project management plan (DS-03). 2nd ed. National Aeronautics and Space Administration, 1994.

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23

Cheng, Dora. System integration of automated mapping: Facilities management at a utility. University of Toronto, Dept. of Computer Science, 1998.

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24

Kovalenko, Vladimir. Design of information systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted. The characteristics of CASE technologies and their implementation in the Oracle Designer 10g environment are considered. A comparative analysis of the standards of the organization of the life cycle of creating and using IP, practical recommendations for the development of standard profiles, examples of the development of an IP project based on a cascading model of the life cycle, including using a process approach in the management and automation of processes. The models of the client — server architecture and the structure of cloud computing are considered. Modern approaches to the selection of ready-made is and their implementation in automated enterprises are studied in detail.
 Meets the requirements of the Federal state educational standards of higher education of the latest generation.
 It is intended for students (bachelors and specialists) and masters of higher educational institutions studying in the direction of "Applied Informatics". It is also recommended for teachers and specialists working in the field of information technology.
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25

Healey, Kerry Murphy. Case management in the criminal justice system. U.S. Dept. of Justice, Office of Justice Programs, National Institute of Justice, 1999.

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26

United States. Dept. of Justice. Civil Division., ed. CASES: The Civil Division's case management system. The Division, 1986.

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27

United States. Department of Justice. Civil Division. CASES: The Civil Division's case management system. U.S. Department of Justice, Civil Division, 1988.

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28

United States. Dept. of Justice. Civil Division, ed. CASES: The Civil Division's case management system. U.S. Dept. of Justice, Civil Division, 1988.

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29

United States. Bureau of Land Management. Automated Land and Mineral Record System (ALMRS) current system description: Brief summaries. Bureau of Land Management, 1987.

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30

United States. Dept. of the Interior. Bureau of Land Management. ALMRS Project Office. Bond & surety files: ALMRS : Automated Land and Mineral Record System. Bureau of Land Management, ALMRS Project Office, 1985.

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31

Office, ALMRS Project. User guide for the automated bond and surety system: [draft]. Bureau of Land Management, ALMRS Project Office, 1986.

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32

United States. Bureau of Land Management ALMRS-GIS Project Office. Automated Land and Mineral Record System (ALMRS) status coding handbook. Bureau of Land Management, ALMRS-GIS Project Office, 1987.

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33

Montana. Legislature. Legislative Audit Division. Automated licensing system (ALS): Department of Fish, Wildlife and Parks. The Division, 2002.

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34

Montana. Legislature. Legislative Audit Division. Automated licensing system (ALS): Department of Fish, Wildlife and Parks. The Division, 2002.

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35

A, Sullivan James. Management of autonomous systems in the Navy's Automated Digital Network System (ADNS). Naval Postgraduate School, 1997.

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36

Roberts, Ellen E. Streamlined automated logistics transmission system program management and commercial satellite systems analyses. Naval Postgraduate School, 1999.

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37

Sunazuka, Toshihiko. Integrating automated support for a software management cycle into the TAME system. University of Maryland, 1989.

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38

Canada. Dept. of the Environment. Inland Waters. Automated Comoputer-Based Water Quality Analytical Laboratory Data Capture/Management System (Awqualabs). s.n, 1987.

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39

Office, ALMRS Project. Automated Land and Mineral Record System (ALMRS) alternatives analysis: Technical product. Bureau of Land Management, 1985.

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40

R, Menon Satheesh, Pandit R, and Construction Engineering Research Laboratory, eds. Enhancements to a guidance system for an automated warehouse equipped with mobile robots. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1990.

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41

University of East Anglia. Overseas Development Group., Food and Agriculture Organization of the United Nations., and United Nations Development Programme, eds. Agriplan training system: Case studies. Food and Agriculture Organization of the United Nations, United Nations Development Programme, 1985.

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42

Günterberg, Herbert. Case study of rapid software prototyping and automated software generation: an Inertial Navigation System. Naval Postgraduate School, 1989.

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43

United States. Defense Logistics Agency. Automated Payroll, Cost, and Personnel System (APCAPS): Personnel subsystem procedures manual. Dept. of Defense, Defense Logistics Agency, 1986.

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44

Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". 
 The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. 
 Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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45

L, Duke Eugene, and Dryden Flight Research Facility, eds. From an automated flight-test management system to a flight-test engineer's workstation. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1991.

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46

L, Duke Eugene, and Dryden Flight Research Facility, eds. From an automated flight-test management system to a flight-test engineer's workstation. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1991.

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47

Jimenez, Felix F. Automated Land and Mineral Record System equipment analysis: Bureau of Land Management, Colorado. U.S. Department of the Interior, Bureau of Land℗Management,℗Colorado State Office, 1985.

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48

Herring, Charles E. Summary of Automated Construction Management System (ACMS) research in the 18th Engineer Brigade. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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49

Michigan Health Department Nurse Administrators Forum., ed. The Pre-implementation manual: Assessment and planning for an automated management information system. Michigan Health Dept. Nurse Administrators Forum, 1990.

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50

L, Duke Eugene, and Dryden Flight Research Facility, eds. From an automated flight-test management system to a flight-test engineer's workstation. National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1991.

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