Accession Number : ADA291158
Title : Learning in an Intentional System.
Descriptive Note : Final rept. 1 Aug 91-31 Jul 94,
Corporate Author : NORTHWESTERN UNIV EVANSTON IL INST FOR THE LEARNING SCIENCES
Personal Author(s) : Birnbaum, Lawerence ; Collins, Greg
PDF Url : ADA291158
Report Date : DEC 1994
Pagination or Media Count : 27
Abstract : The goal of the project, as outlined in the original proposal, was to carry out research aimed at the construction of adaptive planning systems that can learn in response to planning failures, i.e., modelling learning to plan as a process of debugging. Previous approaches to failure-driven learning, notably Sussman (1975), have been based on a traditional models of planning. in which the planner generates a monolithic, self-contained plan to be passed on to another module for execution. Such approaches have thus focused on the process of debugging a plan that has proven to be faulty during execution. However, such traditional models of planning have increasingly come under attack, as it has come to be recognized that planners operating in the real world must be reactive, changing plans on the fly to cope with unexpected circumstances. In such a model, there may be no single, monolithic plan that governs the systems behavior during execution.
Descriptors : *SOFTWARE ENGINEERING, *SYSTEMS ENGINEERING, *ADAPTIVE SYSTEMS, *LEARNING, *DEBUGGING(COMPUTERS), MODELS, DEMONSTRATIONS, PLANNING, SELF CONTAINED, SYSTEMS APPROACH, BEHAVIOR.
Subject Categories : Psychology
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE