Report on the Embedded AI Languages Workshop Held in Ann Arbor, Michigan on 16-18 November 1988

Abstract

The past five years has seen an emerging recognition of two important issues in computer science and engineering: 1) languages and environments for distributed, embedded real-time control, and 2) languages and environments for artificial intelligence. For the past decade, people in real-time computing have been developing the basic concepts and techniques required for correct use of computers in real-time embedded systems. More recently, there have been a growing number of artificial intelligence applications involving real-time control systems. The workshop was originally conceived to have a language focus. As the workshop unfolded, the issues became less a matter of language, and more a matter of algorithms. The goals were addressed in two ways. A small number of experts in key subareas relating to the overall problem were invited to give presentations providing an orientation to that subarea and issue challenge positions on issues remaining to be solved. Secondly, working groups were formed to identify and discuss further issues in each of the subareas. The broad goals given to each of the working groups were to formulate a definition of the problem area and develop prioritized recommendations concerning: 1. Major issues needing research; 2. Promising directions for pursuit of these issues; and 3. Identification of problems already satisfactorily addressed. Keywords: Embedded AI languages, Workshop, Algorithms, Real-time systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 27, 1990
Accession Number
ADA218531

Entities

People

  • Richard A. Volz

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Embedded Systems
  • Engineering
  • Expert Systems
  • High Level Languages
  • Language
  • Lisp Programming Language
  • Parallel Computing
  • Parallel Processing
  • Programming Languages

Fields of Study

  • Computer science
  • Engineering

Readers

  • Academic Conference Management
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy