Error Detection and Recovery in a Dynamic Planning Environment

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 2

Problem Solving and Search

In this paper a set of techniques for error detection and recovery is proposed. These techniques augment a planning system (the ELMER system) which already has many features for preventing execution errors but has few features for handling errors that can’t be prevented. The error handling techniques presented in this paper depend for their effectiveness on the close co-operation of the planning, execution and knowledge base components of the systeti, and especially make use of knowledge learned from the earlier execution of other plans.