ALPS: An Adaptive Learning and Planning System.

Abstract

The goal of the ALPS project is to design and prototype a next generation, distributed, real-time, Al planning architecture. The central theme of our research is the real-world planning systems must necessarily be adaptive; that is, they must reconcile themselves to limited environments, and real-time response. We address these concerns with a combination of methods from deliberative planning, machine learning, distributed computing, probabilistic reasoning, plan repair, and reactive planning.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1997
Accession Number
ADA322841

Entities

People

  • Alberto M. Segre
  • Randall J. Calistri-yeh

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Causal Reasoning
  • Central Processing Units
  • Computational Science
  • Computer Programming
  • Control Systems
  • Damage Detection
  • Distributed Computing
  • Graphical User Interface
  • Inference Engines
  • Language
  • Machine Learning
  • Military Transportation
  • Reasoning
  • Simulators
  • User Interface

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Military and Counterinsurgency Studies.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems