Paper Info
Title
Modeling an Agent's Incomplete Knowledge During Planning and During Execution
Abstract
In many domains agents must be able to gen- erate plans even when faced with incomplete knowledge of their environment. We pro- vide a model to capture the evolution of the agent's knowledge as it engages in the activ- ities of planning (where the agent must at- tempt to infer the eects of hypothesized ac- tions) and execution (where the agent must update its knowledge to reflect the actual ef- fects of actions). The eects (on the agent's knowledge) of a planned sequence of actions are very dierent from the eects of an exe- cuted sequence of actions, and one of the aims of this work is to clarify this distinction. The work is also aimed at providing a model that is not only rigorous but can also be of use in developing planning systems.
Year
Venue
Field
1998
KR
Data science,Incomplete knowledge,Computer science,Knowledge management,Theoretical computer science
DocType
Citations 
PageRank 
Conference
14
1.59
References 
Authors
5
2
Name
Order
Citations
PageRank
Fahiem Bacchus13054272.28
Ronald P. A. Petrick230924.24