Goal-Driven Autonomy and Robust Architecture for Long-Duration Missions (Year 1: 1 July 2013 - 31 July 2014)

Abstract

During the most recent period of performance, the team has refined the major implemented functions of our MIDCA architecture at the cognitive level (Cox, 2013; Paisner, Cox, Maynord, & Perlis, 2014) and has started work on an analogous metacognitive cycle at the meta - level (Dan nenhauer, Cox, Gupta, Paisner & Perlis, 2014; Perlis & Cox, 2014). We produced substantial progress on the knowledge-rich track of the Note- Assess - Guide interpretation procedure. Additionally we started an integration of MIDCA and the T-REX planning and scheduling system. This work explores the use of meta - level control for vehicle planning and behavior execution in dynamic environments. The initial data are encouraging and the path forward is favorable.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2014
Accession Number
ADA626879

Entities

People

  • Michael T. Cox

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Systems
  • Autonomy
  • Cognitive Science
  • Computer Science
  • Computers
  • Detectors
  • Machine Learning
  • Models
  • Multiagent Systems
  • Neural Networks
  • Reasoning
  • Taxonomy
  • Universities
  • Unmanned Vehicles

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Research Science/Academic Research
  • Software Engineering.