Accession Number : ADA322841

Title :   ALPS: An Adaptive Learning and Planning System.

Descriptive Note : Final technical rept. Feb 93-Feb 96,

Corporate Author : ODYSSEY RESEARCH ASSOCIATES INC ITHACA NY

Personal Author(s) : Calistri-Yeh, Randall J. ; Segre, Alberto M.

PDF Url : ADA322841

Report Date : FEB 1997

Pagination or Media Count : 148

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.

Descriptors :   *LEARNING MACHINES, *ADAPTIVE TRAINING, ENVIRONMENTS, DISTRIBUTED DATA PROCESSING, REAL TIME, REASONING, PROBABILITY, REACTIVITIES, REPAIR, RESPONSE, ARCHITECTURE, MILITARY TRANSPORTATION.

Subject Categories : Human Factors Engineering & Man Machine System

Distribution Statement : APPROVED FOR PUBLIC RELEASE