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检索条件"任意字段=IEEE Conference on Managing Expert System Programs and Projects"

共 238 条记录，以下是221-230 订阅

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A software development environment to generate external interfaces for microcomputer-based expert systems

A software development environment to generate external inte...

引用

ieee conference on managing expert system programs and projects

作者： H.M. Mathis S.V. Sheppard W.M. Lively IBM Westlake Laboratory Roanoke TX USA Texas A and M University College Station TX USA

The authors address the problem faced by expert system developers who use microcomputer-based expert system shells requiring external interfaces to perform functions, such as communication, mathematical operations and file handling, that are not provided by the shells. A software development environment, the Data Resource Knowledge Acquisition and Retrieval Tool (DRKART), provides editing support, both for rules comprising an expert system's knowledge base and procedural code required for its external interface. It has a built-in communications subsystem and facilities for recording an expert's efforts in accessing and retrieving information from external data sources. The recorded efforts are stored as C functions in DRKART's relational database along with rule constructs required to call them from the knowledge base. These features enable DRKART to provide a simple but novel methodology for constructing microcomputer-based expert systems.< >

关键词： Programming expert systems Information retrieval Microcomputers Keyboards Disk drives Knowledge acquisition Relational databases Application software Laboratories

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Creating an awareness of expert systems at Encore Computer Corporation: a case study

Creating an awareness of expert systems at Encore Computer C...

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ieee conference on managing expert system programs and projects

作者： J. Liebowitz C. Rogan D. Disch D. Quara D. Edberg Department of Management Science George Washington University Washington D.C. DC USA Information Systems Department Encore Computer Corporation Fort Lauderdale FL USA

To get an expert systems project started within an organization there are a variety of ways ranging from a grass roots approach to having the commitment from a champion in top management. In order to successfully start and obtain sponsorship of an expert systems project, a combination of strategies should be used to permeate the organization. The author describes the creation of an awareness for an expert configuration system at Encore Computer Corporation in Fort Lauderdale, Florida. It is concluded that the hybrid approaches used to get the project underway at Encore were very successful in terms of introducing expert systems technology to Encore employees and management. The necessity of knowing the corporate climate and culture was an important lesson learned from this experience.< >

关键词： expert systems Computer aided software engineering Computer aided manufacturing Technology management Project management Customer service Management information systems Road transportation Pulp manufacturing Microcomputers

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Validation of the Technician's Assister system (expert system)

Validation of the Technician's Assister System (expert syste...

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ieee conference on managing expert system programs and projects

作者： J.A. Molnar C.F. Sarteschi Naval Research Laboratory Inc. Washington D.C. DC USA Synertech Associates Arlington VA USA

The Technician's Assister system (TAS) was developed to demonstrate the feasibility for adaptation to the SQS-53B sonar system's diagnostics. The prototype expert system incorporates a hierarchical knowledge base design. TAS defines diagnostic testing sequences for system maintenance. Validation of the resulting prototype was performed. TAS provided internal utilities for knowledge base verification. A knowledge-base editor was used to ensure syntactic conformity. The knowledge-base compiler provided diagnostic tests aiding in knowledge accuracy and verified the syntax. A built-in simulator confirmed the data continuity of knowledge base. Data were validated by system-generated rulesets and ambiguity set information. A test-case study of the left correlator database is described. The validation process is divided into three areas: validation of the knowledge base, simulation, and field testing. expert confirmation of the knowledge base and simulation test information was essential for validation.< >

关键词： expert systems Circuit faults Prototypes Diagnostic expert systems system testing Engines Sonar measurements Knowledge engineering Performance evaluation Laboratories

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Economic contributions of artificial intelligence to space systems

Economic contributions of artificial intelligence to space s...

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ieee conference on managing expert system programs and projects

作者： J.E. Bare P. Daley Martin Marietta Astronautics Group Martin Marietta Space Systems Denver CO USA

Enough experience has been gained in the application of artificial intelligence (AI) technologies to spacecraft missions to permit prediction of the contributions of AI to cost reductions during system integration and test and during operations. The authors present a model and several examples based on case histories and indicate that the decision to use AI can be made from a business perspective as well as from a technical perspective. It is noted that planned reuse and therefore design for reuse are important factors influencing the magnitude of the savings. AI software developed for use during system integration and test can be reused during the operational phase and shows promise of migrating onto the spacecraft itself. Furthermore, it has been demonstrated that AI software can be designed to be used across multiple subsystems of a spacecraft.< >

关键词： Artificial intelligence Costs Space technology Space vehicles Automation system testing Economic forecasting Environmental economics Engineering management Technology management

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Towards a manageable solution to the iterative development of embedded knowledge-based systems

Towards a manageable solution to the iterative development o...

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ieee conference on managing expert system programs and projects

作者： T.P. Gathmann D. Halker Satellite & Space Electronics Division Rockwell International Corporation Seal Beach CA USA

The project management, knowledge acquisition, and testing traceability of knowledge-based systems are addressed. Conventional software engineering mechanisms are utilized and woven into a process that encompasses the entire development lifecycle. Over the course of several KBS development projects, a process has been created and a suite of tools that assist in its execution has been selected. The projects have ranged from typical interactive-type systems to embedded and flight-worthy code. It was found that knowledge acquisition is key to the KBS lifecycle. A sophisticated tool, gIBIS, was used to combat this problem. This tool provides a visual and expedient methodology for the categorization of data, its representation and relationships, intuitive interface, and high-level prototyping capabilities. Traditional software engineering mechanisms have been coupled to gIBIS to create a flexible environment for the development and management of KBSs.< >

关键词： Knowledge based systems Knowledge acquisition Software engineering Project management system testing Software prototyping Prototypes Environmental management Software development management Engineering management

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Today's expert systems for simulating intelligent behavior;tomorrow's for exploring applications of thought processes

Today's expert systems for simulating intelligent behavior;t...

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ieee conference on managing expert system programs and projects

作者： D.B. Hertz Intelligent Computer Research Institute University of Miami Coral Gables FL USA

The author expands on the ideas of H.A. Simon (1982) in the context of broad social consequences of apparently rational actions as they are influenced by artificial intelligence (AI-oriented) decision processes. He attempts to illustrate four themes: (1) that AI can provide logical methodologies for analyzing, understanding, and providing bases from which to attack the statistical uncertainties and entropic action behaviors necessarily included in intelligent social control processes; (2) that it can be understood and applied by those who are responsible for using such devices and controls; (3) that it requires studying and dealing with strategic alternatives within which many continually active tactical decisions must be included; and (4) that the domain knowledge of experts (who often do not agree) must be captured for any rational decision-making models to be able to bound what might otherwise be social chaos.< >

关键词： expert systems Intelligent systems Artificial intelligence Uncertainty Humans Computational modeling Computer simulation Application software Intelligent robots Footwear

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Mapping the expert systems development process to the Department of Defense life-cycle model

Mapping the expert systems development process to the Depart...

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ieee conference on managing expert system programs and projects

作者： A.F.U. Khan Communications Group US Air Force

The author reports on the results of a study performed by a team from RAND Corp. and the 7th Communications Group (USAF) for the Office of the Assistant Secretary of Defense for Production and Logistics. The study guides managers and technicians seeking expert systems (ES) solutions. It is noted that, as ES developments are software engineering efforts, the lessons learned building software over the past decades still apply. DoD software engineering and life-cycle policies can be applied to ES developments. The practical methodology elaborated in the study maps the rapid prototyping paradigm to DoD standards using the spiral model and risk containment strategies as described by B.W. Boehm. Furthermore, software life-cycle management and documentation standards reflect a hardware bias which also affects conventional software developments. Other peculiarities of ES developments are not totally unique to expert systems, either. Modern conventional software developments arc experiencing many of the same problems. Hence, it is concluded that the standards and acquisition practices of yesterday need to evolve to accommodate the nature of software development in the 1990s and beyond.< >

关键词： expert systems Programming Software engineering Software standards Standards development Production Logistics Software prototyping Prototypes Spirals

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What 36 Japanese AI managers spotted as differences between US and Japanese corporate AI programs

What 36 Japanese AI managers spotted as differences between ...

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ieee conference on managing expert system programs and projects

作者： R.T. Greene Xerox Corporation Fairport NY USA

Managers of 36 Japanese corporate AI (artificial intelligence) programs were interviewed about differences they observed between corporate AI programs in Japan and such programs in the USA. Later, a smaller group of the same subjects was presented with the results from the first survey and asked to make sense of them. The results indicate that greater AI impact on business is going on in Japan due to AI being 'inserted' into business processes that are more self-consciously modeled in Japan than in the USA. The quality framework and process control framework in Japan are creating new forms of AI, from fuzzy reasoning VLSI chips to AI simulators of quality business processes as translations of customer needs. The survey showed a split between first generation AI in Japan that imitated Lisp and Prolog work in the US and second generation AI that downsizes AI. An interesting social spin-off from AI-social connectionism-as an image of Japanese work organizations was also uncovered.< >

关键词： Artificial intelligence Process control Fuzzy reasoning Application software Hardware Production facilities Error analysis Code standards Software standards Standards organizations

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Using the management team approach on a knowledge-based systems project: capitalizing on individuals' expertise

Using the management team approach on a knowledge-based syst...

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ieee conference on managing expert system programs and projects

作者： T.M. Pelnik C. Culbert MITRE Corporation Houston TX USA NASA Lyndon B. Johnson Space Center Houston TX USA

The Advanced Automation Methodology Project (AAMP), at NASA's Johnson Space Center, is described. The AAMP will develop two independent knowledge-based system applications, identify system features required to incorporate artificial intelligence upgrades to several US Space Station Freedom systems in the future, and produce an engineering methodology for artificial intelligence system development in the Space Station Freedom program. The AAMP is composed of four teams: the management team, two development teams, and an independent test and verification team. By distributing project management responsibilities among the various management team members, the AAMP has realized several benefits. First, the diverse opinions and experience of the team often help focus management attention on the project's most critical areas. Second, this distributed approach allows team members to participate in the AAMP without having to dedicate full time to the project. Finally, by distributing management responsibilities, the AAMP has capitalized on each member's expertise.< >

关键词： Knowledge management Project management Knowledge based systems Automation Space stations Guidelines NASA Artificial intelligence system testing Space technology

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The LQMS research project: a case study in knowledge-based system development

The LQMS research project: a case study in knowledge-based s...

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ieee conference on managing expert system programs and projects

作者： D.M. O'Neill P.W. Mullarkey P.C. Gingrich Schlumberger Laboratory for Computer Science USA Schlumberger Austin Systems Center

The Log Quality Monitoring system (LQMS) is a medium-sized knowledge-based system that was developed to address the problem of providing real-time assistance to the wireline field engineer. The authors discuss the motivation for the project, review the major decisions that were made, detail how they affected the direction of the project, and identify the basic lessons that were learned. The research version of LQMS was developed at Schlumberger-Doll Research over a period of about three and a half years. The project successfully dealt with several thorny issues in the development of knowledge-based systems: multiple domain experts, real time constraints, embedded environment, coordination and communication of multiple knowledge sources, and technology transfer. The project evolved from an exploratory, rapid prototyping style of development to a more traditional specify/design/implement/test methodology. Much of this evolution was driven by the field testing and technology transfer requirements of the later stages of the project.< >

关键词： Computer aided software engineering Knowledge based systems Real time systems Technology transfer Geologic measurements Knowledge engineering Testing Well logging Instruments Packaging

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