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Abstract / Description of output
Finding ways to prove theorems mechanically was one of the earliest challenges tackled by the AI community. Notable progress has been made but there is still always a limit to any set of heuristic search techniques. From a proof done by human users, we wish to find out whether AI techniques can also be used to learn from a human user. AI4FM (Artificial Intelligence for Formal Methods) is a fouryear project that starts officially in April 2010 (see www.AI4FM.org). It focuses on helping users of ``formal methods'' many of which give rise to proof obligations that have to be (mechanically) verified (by a theorem prover). In industrialsized developments, there are often a large number of proof obligations and, whilst many of them succumb to similar proof strategies, those that remain can hold up engineers trying to use formal methods. The goal of AI4FM is to learn enough from one manual proof, to discharge proof obligations automatically that yield to similar proof strategies. To achieve this, a highlevel (proof) strategy language is required, and in this paper we outline some ideas of such language, and towards extracting them.
Original language  English 

Title of host publication  5th Automated Formal Methods workshop (AFM’10) 
Publication status  Published  Jul 2010 
Keywords / Materials (for Nontextual outputs)
 AI
 Theorem Proving
 AI4FM project
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 1 Finished

A14FM : using A1 to aid automation of proof search in formal methods
Bundy, A., Bundy, A., Grov, G., Ireland, A. & Jones, C. B.
1/04/10 → 31/03/14
Project: Research