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An Algorithm for Parsing Flow Graphs

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dc.creator Brotsky, Daniel Carl
dc.date 2004-10-20T20:03:27Z
dc.date 2004-10-20T20:03:27Z
dc.date 1984-03-01
dc.date.accessioned 2013-10-09T02:47:23Z
dc.date.available 2013-10-09T02:47:23Z
dc.date.issued 2013-10-09
dc.identifier AITR-704
dc.identifier http://hdl.handle.net/1721.1/6866
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This report describes research about flow graphs - labeled, directed, acyclic graphs which abstract representations used in a variety of Artificial Intelligence applications. Flow graphs may be derived from flow grammars much as strings may be derived from string grammars; this derivation process forms a useful model for the stepwise refinement processes used in programming and other engineering domains. The central result of this report is a parsing algorithm for flow graphs. Given a flow grammar and a flow graph, the algorithm determines whether the grammar generates the graph and, if so, finds all possible derivations for it. The author has implemented the algorithm in LISP. The intent of this report is to make flow-graph parsing available as an analytic tool for researchers in Artificial Intelligence. The report explores the intuitions behind the parsing algorithm, contains numerous, extensive examples of its behavior, and provides some guidance for those who wish to customize the algorithm to their own uses.
dc.format 152 p.
dc.format 5446139 bytes
dc.format 3922057 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AITR-704
dc.title An Algorithm for Parsing Flow Graphs


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