What Language Understanding Research Suggests About Distributed Artificial Intelligence,

Abstract

This article speculated on the possible relevance of the artificial intelligence approach to natural language understanding to the problem of communication between processors in a distributed artificial intelligence system. While the processing required to interpret a natural language is almost certainly far more than a DAI system needs, a simplified form of this processing that performs all or most of the tasks performed in understanding natural language may well be required. This suggests that designers of DAI systems might best design their communications protocols by narrowing down the capabilities required for natural language communication rather than by building up from the traditional, individual-message-oriented approach. The key point is that, to develop a robust distributed system that is able to communicate over a noisy, relatively narrow-bandwidth channel, one must consider not just the format and content of the individual messages that are used to communicate, but also the role that sequences of messages play in the overall process of communication.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADP003786

Entities

People

  • E. D. Sacerdoti

Organizations

  • SRI International

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Communications Protocols
  • Formal Languages
  • Language
  • Natural Language Understanding
  • Natural Languages
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation