This report summr-izes the work conducted for the Artificial Intelligence Measurement System (AIMS) Project which was undertaken as an exploration of methodology to consider how the effects of artificial intelligence systems could be compared to human performance. The research covered four areas of inquiry: (1) natural language processing and understanding; (2) expert systems; (3) machine vision and visual perception; and (4) technology assessment and evaluation. The four areas are discussed in turn with information provided regarding the goals of individual research efforts within each area. Comparative tests between human and computer performances are noted. A list of 31 project reports and 12 technical reports is included in the document. Names of project staff and consultants and a distribution list are appended. (DB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Final Project Repon U.S. DEFASTSISAIT OF ISUCATION Office or Educstionel Olteseercri and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) o This document has peen reproduced as received from Ins person or oroemzetion ononsting it o Minor Charon halm boon made to Improve reproduction Oushty Points of view or opinions stated in this document do not necessarily rpresent official OE RI position or policy ARTIFICIAL INTELLIGENCE MEASUREMENT SYSTEM OVERVIEW AND LESSONS LEARNED Eva L. Baker Frances A. Butler
[1]
Eva L. Baker.
Artificial Intelligence Measurement System (Briefing Charts)
,
1987
.
[2]
Michael G. Dyer,et al.
A Sourcebook Approach to Evaluating Artificial Intelligence Systems
,
1988
.
[3]
Luke D. Postema,et al.
The Institute of Electrical and Electronics Engineers
,
1963,
Nature.
[4]
William J. Clancey,et al.
Acquiring, representing, and evaluating a competence model of diagnostic strategy
,
1993
.
[5]
Zhongmin Li.
Knowledge Engineering Report: An Expert System for Selecting Reliability Index
,
1988
.
[6]
Howard Herl.
Designing a HyperCard Database for the Natural Language Sourcebook
,
1990
.
[7]
Merlin C. Wittrock,et al.
A Classification of Sentences Used in Natural Language Processing in the Military Services.
,
1989
.
[8]
Eva L. Baker,et al.
TASK STRUCTURE DESIGN: BEYOND LINKAGE*
,
1983
.
[9]
Michael G. Dyer,et al.
Natural Language Sourcebook.
,
1990
.