Proceedings of the International Symposium (8th) on Methodologies for Intelligent Systems, Held at Charlotte, North Carolina on 16-19 October, 1994. (Selected Papers).

Abstract

This volume contains papers which were selected for presentation at the Poster Session of the Eight International Symposium on Methodologies for Intelligent Systems - ISMIS'94, held in Charlotte, North Carolina, October 16-19, 1994. The symposium was hosted by the University of North Carolina at Charlotte and sponsored by Office of Naval Research, Oak Ridge National Laboratory, MITRE Corporation, UNC-Charlotte and IBM-Charlotte. ISMIS is a conference series that was started in 1986 in Knoxville, Tennessee. It has since then been held in Charlotte (North Carolina), once in Knoxville, once in Torino (Italy) and once in Trondheim (Norway). The Program Committee has decided to select the following major areas for ISMIS'94: Approximate Reasoning; Evolutionary Computation; Intelligent Information Systems; Knowledge Representation and Integration; Learning and Adaptive Systems; Logic for Artificial Intelligence; Methodologies (Modeling, Design, Validation). (KAR)

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Document Details

Document Type
Technical Report
Publication Date
Oct 19, 1994
Accession Number
ADA300829

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Electronic Mail
  • Information Processing
  • Information Systems
  • Machine Learning
  • Natural Language Processing
  • Ontologies
  • Programming Languages
  • Reasoning

Readers

  • Academic Conference Management
  • International Relations, focusing on Korea-Africa and North Korea-South Korea relations, and Nigeria-Latin American Relations.
  • Software Engineering.

Technology Areas

  • AI & ML