48 research outputs found
Learning to integrate reactivity and deliberation in uncertain planning and scheduling problems
This paper describes an approach to planning and scheduling in uncertain domains. In this approach, a system divides a task on a goal by goal basis into reactive and deliberative components. Initially, a task is handled entirely reactively. When failures occur, the system changes the reactive/deliverative goal division by moving goals into the deliberative component. Because our approach attempts to minimize the number of deliberative goals, we call our approach Minimal Deliberation (MD). Because MD allows goals to be treated reactively, it gains some of the advantages of reactive systems: computational efficiency, the ability to deal with noise and non-deterministic effects, and the ability to take advantage of unforseen opportunities. However, because MD can fall back upon deliberation, it can also provide some of the guarantees of classical planning, such as the ability to deal with complex goal interactions. This paper describes the Minimal Deliberation approach to integrating reactivity and deliberation and describe an ongoing application of the approach to an uncertain planning and scheduling domain
BAGGER: An EBL System that Extends and Generalizes Explanations
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF IST 85-1154
The Classification, Detection and Handling of Imperfect Theory Problems
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Research / N00014-86-K-030
Analyzing Variable Cancellations to Generalize Symbolic Mathematical Calculations
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF IST 85-1154
Active Explanation Reduction: An Approach to the Multiple Explanations Problems
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Research / N-00014-86-K-030
An Explanation-Based Approach to Generalizing Number
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF IST 85-1154
A Model of Attention Focussing During Problem Solving
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF IST 85-1154
Active Ambiguity Reduction: An Experiment Design Approach to Tractable Qualitative Reasoning
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryOffice of Naval Research / N00014-86-K-030
Computer Understanding and Generalization of Symbolic Mathematical Calculations
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / NSF IST 85-1154
An Expert Distributed Robotics System with Comprehension and Learning Abilities in the Aircraft Flight Domain
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryAir Force Office of Scientific Research / F49620-82-K-000