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Freeman, Michael S.

Publications and source records attributed to Freeman, Michael S..

6 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS1988

The elements of design knowledge capture

This paper will present the basic constituents of a design knowledge capture effort. This will include a discussion of the types of knowledge to be captured in such an effort and the difference between design knowledge capture and more traditional knowledge base construction. These differences include both knowledge base structure and knowledge acquisition approach. The motivation for establishing a design knowledge capture effort as an integral part of major NASA programs will be outlined, along with the current NASA position on that subject. Finally the approach taken in design knowledge capture for Space Station will be contrasted with that used in the HSTDEK project.

Freeman, Michael S.↗
NASA NTRS1988

Issues in management of artificial intelligence based projects

Now that Artificial Intelligence (AI) is gaining acceptance, it is important to examine some of the obstacles that still stand in the way of its progress. Ironically, many of these obstacles are related to management and are aggravated by the very characteristcs that make AI useful. The purpose of this paper is to heighten awareness of management issues in AI development and to focus attention on their resolution.

Kiss, P. A.↗
NASA NTRS1988

The emergence of multi-user expert systems

There exists a set of problems for which the single user workstation is not a viable solution. In some cases, it may be necessary for the system to support numerous experts working on different aspects of a single logical activity concurrently. In others, the activity may extend over a prolonged period of time during which different experts will work on different phases of the project to produce a single integrated result. Another possibility is that the results produced by the expert system must be continuously available to some group other than that actively exercising the expert system. These are the types of applications which require multiuser expert systems. The nature of NASA tends to produce expert system domains which are inherently multiuser. It is these domains that this new class of expert systems has first been encountered. As expert systems move into the main stream of large scale engineering projects, these encounters will become more frequent. A need for expert system building tools which can accommodate the unique properties of these multiuser domains as they emerge is a problem which needs to be addressed as the current set of tools migrate to time sharing environments, and as new tools are developed.

Freeman, Michael S.↗
NASA NTRS1987

Third Conference on Artificial Intelligence for Space Applications, part 1

The application of artificial intelligence to spacecraft and aerospace systems is discussed. Expert systems, robotics, space station automation, fault diagnostics, parallel processing, knowledge representation, scheduling, man-machine interfaces and neural nets are among the topics discussed.

Denton, Judith S.↗
NASA NTRS1987

HSTDEK: Developing a methodology for construction of large-scale, multi-use knowledge bases

The primary research objectives of the Hubble Space Telescope Design/Engineering Knowledgebase (HSTDEK) are to develop a methodology for constructing and maintaining large scale knowledge bases which can be used to support multiple applications. To insure the validity of its results, this research is being persued in the context of a real world system, the Hubble Space Telescope. The HSTDEK objectives are described in detail. The history and motivation of the project are briefly described. The technical challenges faced by the project are outlined.

Freeman, Michael S.↗