ARTIFICIAL INTELLIGENCE (AI) ARCHITECTURES FOR CONTINUOUS LEARNING FROM OBSERVATION, EXPERIMENTATION, CONVERSATION AND DEMONSTRATION

Abstract

There have been significant advances in the component parts of intelligence such as vision, speech, and learning, but we have not seen comparable progress on how to design an AI architecture that integrates these component parts into an intelligent set of agents that continuously improve their performance. This work will study various architectures for different classes of AI performance.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010118

Entities

People

  • Tom M. Mitchell

Organizations

  • Air Force Office of Scientific Research
  • Carnegie Mellon University
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.

Technology Areas

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