This report summarizes 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)