PM: a metrics driven plan compiler

The partial metrics (PM) project, whose goal is to investigate the metrics-driven acquisition of planning knowledge, is discussed. The approach taken can be thought of as reverse compilation. Abstract plans are generated from source programs in a given target language. This process involves the inte...

Full description

Saved in:
Bibliographic Details
Main Authors: Reynolds, R.G., Maletic, J.I., Porvin, S.E.
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Artificial intelligence
Automatic programming
Computer science
Knowledge based systems
Knowledge engineering
Libraries
Program processors
Prototypes
System performance
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The partial metrics (PM) project, whose goal is to investigate the metrics-driven acquisition of planning knowledge, is discussed. The approach taken can be thought of as reverse compilation. Abstract plans are generated from source programs in a given target language. This process involves the integration of traditional compiler techniques with certain AI (artificial intelligence) paradigms. The current prototype's design is described. This prototype's capabilities are demonstrated by taking an Ada target program generated by a plan in the Programmer's Apprentice system and creating another plan using the PM knowledge compiler. The plan produced by the prototype possesses many of the original plan's features.< >
DOI:10.1109/TAI.1989.65381