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  • Other Sources  (263)
  • CYBERNETICS  (182)
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  • 1990-1994  (187)
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  • 1
    Publication Date: 2013-08-29
    Description: An alfalfa management expert system originally developed by Purdue University agricultural scientists on the PC Plus expert system shell from Texas Instrument has been updated and successfully converted to CLIPS (C Language Integrated Production System). This reduces the cost and legal restrictions associated with making the expert system available to agribusiness industries, extension personnel and farm managers and operators. The expert system includes recommendations concerning soil drainage, liming, P and K fertilization, weed control, variety selection and seeding rate including pure live seeds.
    Keywords: CYBERNETICS
    Type: NASA. Johnson Space Center, First CLIPS Conference Proceedings, Volume 1; p 381-385
    Format: text
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  • 2
    Publication Date: 2013-08-31
    Description: The U.S. Bureau of Mines is currently investigating ways to combine the control capabilities of fuzzy logic with the learning capabilities of genetic algorithms. Fuzzy logic allows for the uncertainty inherent in most control problems to be incorporated into conventional expert systems. Although fuzzy logic based expert systems have been used successfully for controlling a number of physical systems, the selection of acceptable fuzzy membership functions has generally been a subjective decision. High performance fuzzy membership functions for a fuzzy logic controller that manipulates a mathematical model simulating the autonomous rendezvous of spacecraft are learned using a genetic algorithm, a search technique based on the mechanics of natural genetics. The membership functions learned by the genetic algorithm provide for a more efficient fuzzy logic controller than membership functions selected by the authors for the rendezvous problem. Thus, genetic algorithms are potentially an effective and structured approach for learning fuzzy membership functions.
    Keywords: CYBERNETICS
    Type: NASA, Marshall Space Flight Center, Fifth Conference on Artificial Intelligence for Space Applications; p 43-51
    Format: application/pdf
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  • 3
    Publication Date: 2004-10-01
    Keywords: GENERAL
    Type: APL Bull. of the 18th Meeting of the JANAF-ARPA-NASA Solid Propellant Group, Vol. 3; p 51-70
    Format: text
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  • 4
    Publication Date: 2011-08-16
    Keywords: GENERAL
    Type: NACA Conf. on Aerodyn. of High Speed Aircraft; p 93-103
    Format: text
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  • 5
    Publication Date: 2013-08-31
    Description: A scheduling and resource management system named MAESTRO was interfaced with a Space Station Module Power Management and Distribution (SSM/PMAD) breadboard at MSFC. The combined system serves to illustrate the integration of planning, scheduling, and control in a realistic, complex domain. This paper briefly describes the functional elements of the combined system, including normal and contingency operational scenarios, then focusses on the method used by the scheduler to handle real-time contingencies.
    Keywords: CYBERNETICS
    Type: NASA. Ames Research Center, Working notes from the 1992 AAAI Spring Symposium on Practical Approaches to Scheduling and Planning; p 112-116
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  • 6
    Publication Date: 2013-08-31
    Description: By combining the best of automated and human decision-making in scheduling many advantages can accrue. The joint performance of the user and system is potentially much better than either alone. Features of the MAESTRO scheduling system serve to illustrate concepts of user/software cooperation. MAESTRO may be operated at a user-determinable and dynamic level of autonomy. Because the system allows so much flexibility in the allocation of decision-making responsibilities, and provides users with a wealth of information and other support for their own decision-making, better overall schedules may result.
    Keywords: CYBERNETICS
    Type: NASA. Goddard Space Flight Center, The 1991 Goddard Conference on Space Applications of Artificial Intelligence; p 31-44
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  • 7
    Publication Date: 2013-08-31
    Description: A brief introduction is given to an automated system called the Spacecraft Health Automated Reasoning Prototype (SHARP). SHARP is designed to demonstrate automated health and status analysis for multi-mission spacecraft and ground data systems operations. The SHARP system combines conventional computer science methodologies with artificial intelligence techniques to produce an effective method for detecting and analyzing potential spacecraft and ground systems problems. The system performs real-time analysis of spacecraft and other related telemetry, and is also capable of examining data in historical context. Telecommunications link analysis of the Voyager II spacecraft is the initial focus for evaluation of the prototype in a real-time operations setting during the Voyager spacecraft encounter with Neptune in August, 1989. The preliminary results of the SHARP project and plans for future application of the technology are discussed.
    Keywords: CYBERNETICS
    Type: NASA, Lyndon B. Johnson Space Center, Third Annual Workshop on Space Operations Automation and Robotics (SOAR 1989); p 281-287
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  • 8
    Publication Date: 2016-06-07
    Keywords: GENERAL
    Type: Compilation of Papers Presented to Meeting on Space Vehicle Landing and Recovery Res. and Technol.; 22 p
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  • 9
    Publication Date: 2016-06-07
    Keywords: GENERAL
    Type: Compilation of Papers Presented to Meeting on Space Vehicle Landing and Recovery Res. and Technol.; 30 p
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  • 10
    Publication Date: 2019-04-02
    Description: Artificial Intelligence (AI) techniques provide good solutions for many of the problems which are characteristic of scheduling applications. However, scheduling is a large, complex heterogeneous problem. Different applications will require different solutions. Any individual application will require the use of a variety of techniques, including both AI and conventional software methods. The operational context of the scheduling system will also play a large role in design considerations. The key is to identify those places where a specific AI technique is in fact the preferable solution, and to integrate that technique into the overall architecture.
    Keywords: CYBERNETICS
    Type: NASA, Goddard Space Flight Center, The 1990 Goddard Conference on Space Applications of Artificial Intelligence; p 29-41
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