Title :
PM: a metrics driven plan compiler
Author :
Reynolds, Robert G. ; Maletic, Jonathan I. ; Porvin, Stephen E.
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Abstract :
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
Keywords :
automatic programming; knowledge acquisition; software engineering; Ada target program; PM knowledge compiler; Programmer´s Apprentice system; artificial intelligence; chunking; code aggregate hierarchy generation; knowledge acquisition; metrics-driven acquisition; partial metrics project; planning knowledge; reverse compilation; source programs; target language; traditional compiler techniques; Aggregates; Artificial intelligence; Automatic programming; Computer science; Knowledge based systems; Knowledge engineering; Libraries; Program processors; Prototypes; System performance;
Conference_Titel :
Tools for Artificial Intelligence, 1989. Architectures, Languages and Algorithms, IEEE International Workshop on
Conference_Location :
Fairfax, VA
Print_ISBN :
0-8186-1984-8
DOI :
10.1109/TAI.1989.65381