Measuring the Performance and Intelligence of Systems: Proceedings of the 2000 PerMIS Workshop, August 14-16, 2000

Published

September 1, 2001

Author(s)

A Meystel, Elena R. Messina

Abstract

This volume contains the materials of the Performance Metrics for Intelligent Systems Workshop (PERMIS), held at the National Institute of Standards and Technology on August 14th through the 16th, 2000. The central theme of the meeting was Measuring the Performance and Intelligence of Intelligent Systems. Neither the system's performance, nor its intelligence can be adequately measured by evaluation techniques other than those generally used in control systems. Presently, engineers and researchers are not satisfied with these approaches as they are applied to intelligent systems. This volume starts with the White Paper (Part I) that initiated the process of communication among the multidisciplinary group of engineers and researchers. Some results of the pre-workshop e-mail discussion are put together in Part II. The papers, submitted and accepted for presentation are collected in Part III. They are grouped corresponding to the sub-area of the problem. Notes made by the participants of the general Panel Discussions are collected in Part IV. Finally, the decisions of the Advisory Board are presented in Part V.

Citation

NIST Interagency/Internal Report (NISTIR) - 970

Report Number

970

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

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Keywords

3D data visualization, 3D data visualization, 3D data visualization, 3D data visualization, adaptivity, architecture, architecture, architecture, autonomous driving, autonomous driving, autonomous driving, autonomous driving, autonomy, autonomy, autonomy, classification, classification, classification, classification, client/server, client/server, component, component, computer-numerical control, control, control, control, data repository, data sequence visualization, data sequence visualization, data sequence visualization, data sequence visualization, DTD, enterprise architectures, Finite State Machine, Finite State Machine, fuzzy, fuzzy, generalization, generalization, identification, inductive principle, information technology, intelligence, intelligence, intelligence, intelligent control, intelligent control, intelligent control, intelligent system, intelligent system, intelligent systems, Interface Standards, Interoperability, Java, knowledge navigation, ladar, ladar, ladar, ladar, learning, learning automata, Linux, machine, machine tool, manufacturing systems, manufacturing training, meta-data, metrics, modularity, module, multigranular, multiresolution, multiscale, neural, obstacle detection, obstacle detection, obstacle detection, obstacle detection, open architecture, Open Architecture, open architecture control, open source, path planning, path planning, path planning, path planning, performance, performance measures, performance test, range data visualization, range data visualization, range data visualization, range data visualization, RCS, real-time control, Robot, sensor fusion, sensor fusion, sensor fusion, sensor fusion, standards, terrain visualization, terrain visualization, terrain visualization, terrain visualization, vehicle navigation data visualization, vehicle navigation data visualization, vehicle navigation data visualization, vehicle navigation data visualization, VRML, world modeling, world modeling, world modeling, world modeling, XML

Citation

Meystel, A. and Messina, E. (2001), Measuring the Performance and Intelligence of Systems: Proceedings of the 2000 PerMIS Workshop, August 14-16, 2000, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821661 (Accessed January 19, 2025)