NDLI: Reflecting on Planning Models: A Challenge for Self-Modeling Systems

Content Provider	IEEE Xplore Digital Library
Author	Frank, J.
Copyright Year	2015
Description	Author affiliation: NASA Ames Res. Center, Moffett Field, CA, USA (Frank, J.)
Abstract	We discuss the opportunities for autonomous systems to perform reflection on their planners by adapting the models used to build plans. We first describe model-based planning systems, a form of automated planning system driven by declarative models of the planning domain. These models include descriptions of the conditions and effects of actions on the state of the world. When planning the activities of cyber-physical systems, the command and data representation of the system must be formally abstracted to the actions and states described in the planning system model. When the execution of a plan either fails or produces unexpected outcomes, the execution trace can be abstracted and compared to the predicted state according to the planning model, producing a list of discrepancies, these discrepancies can then be used to fix the model. This provides part of a reflection capability, namely, a set of well-formed problems with the domain model, the abstractions, or both. The challenge lies in the rest of the reflection capability, namely, a set of techniques for changing the models or the abstractions. We discuss these challenges and describe some of the options for addressing them.
Starting Page	255
Ending Page	260
File Size	192192
Page Count	6
File Format	PDF
e-ISBN	9781467369718
DOI	10.1109/ICAC.2015.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space vehicles Planning Batteries Wheels Earth Solar panels Moon Adaptive Systems Automated Planning
Content Type	Text
Resource Type	Article

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