Neurosymbolic Methods for Testing Autonomous Systems

Abstract

Improvements in the hardware accelerators and software frameworks for machine learning models have facilitated the development and deployment of autonomous systems. Service Oriented Architecture is currently being investigated as a design paradigm for autonomous systems. In this paradigm, an autonomous system has access to several autonomous services, where each service is dedicated to achieving one such goal.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 29, 2024
Source ID
FA95502310286

Entities

People

  • Parasara Sridhar Duggirala

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of North Carolina at Chapel Hill

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control