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  AI4FM 2013 - the 4th International Workshop on

    the use of AI in Formal Methods

      

       http://www.ai4fm.org/ai4fm-2013/



    Rennes, France, 22nd July, 2013

     In association with ITP 2013

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          --- Final Call for Short Contributions ---

               *** PhD funding available ***

               ***     New deadline      *** 

General

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This workshop will bring together researchers from formal methods and AI; it will address the 

issue of how AI can be used to support the formal software development process, including modelling 

and proof. Previous AI4FM workshops have included a mix of industrial and academic participants 

and we anticipate attracting a similarly diverse audience. 



Industrial use of formal methods is certainly increasing but, in order to make it more mainstream, 

the cost of applying formal methods, in terms of mathematical skill level and development time, 

must be reduced — we believe that AI can help with these issues. 



Rigorous software development using formal methods allows the construction of an accurate characterisation 

of a problem domain that is firmly based on mathematics; by applying standard mathematical analyses, these 

methods can be used to prove that systems satisfy formal specifications. A recent ACM computing survey paper 

describes over sixty industrial projects and discusses the effect formal methods have on time, cost and quality. 

It shows that with tools backed by mature theory, formal methods are becoming cost effective and their use is 

easier to justify, not as an academic exercise or legal requirement, but as part of a business case. Furthermore, 

the use of such formal methods is no longer confined to safety critical systems: the list of industrial partners 

in the EU-funded DEPLOY project is one indication of this broader use. Most methods tend to fit a ``posit-and-prove'' 

paradigm where the user posits a development step (expressed in terms of specifications of yet-to-be-realised components) 

that has to be justified by proofs. The associated properties that must be verified are often called proof obligations (POs) 

or verification conditions. In most cases, such proofs require mechanical support by theorem provers. 



One can distinguish between automatic and interactive provers, where the latter are generally more expressive but require 

user interaction. AI has had a large impact on the development of provers. In fact, some of the first AI applications were 

in theorem proving and all theorem provers now contain heuristics to reduce the search space that can be attributed to AI. 

Nevertheless, theorem proving research and (pure) AI research have diverged and theorem proving is barely considered 

to be AI-related anymore. 



PhD Bursary

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Formal Methods Europe (FME) has kindly agreed to cover the registration fee for a limited number of PhD students. A proviso 

for receiving this bursary is that the student presents at the workshop.



Scope

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We encourage submissions presenting work in progress, tools under

development, and PhD projects, in order that the

workshop can become a forum for active dialogue between the groups

involved in  theorem provers, formal methods and artificial intelligence.

Particular areas of interest include, but are not limited to:

 * The use of machine learning to support interactive theorem proving;

 * The use of machine learning to enhance automated theorem proving;

 * The development of search heuristics;

 * The us of AI for term synthesis, invariant generation, lemma discovery and concept invention;

 * The use of AI for counter-example generation;

 * The use of AI to support and guide the formal modelling process;

 * The role of AI planning for formal systems developments, from requirements to the end product (including software and hardware);

 * The interplay between reasoning and modelling and the role of AI in this framework;

 * Ontologies in the formal engineering process.



Submission

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The main aim for the workshop is discussion, thus submissions 

do not need to be original. Extended versions of submissions

may have been published previously, or submitted concurrently with or after AI4FM 2013 to another workshop, conference or a journal.



Submission is by email to:



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Please submit an abstract up to 3 pages in a PDF format. The extended abstracts will be handed out to all participants, and will be made into a technical report prior to the workshop. 



Please indicate if you are student and would like to apply for the FME bursary. 



Acceptance for presentation at the workshop will be made by the

organisers based on relevance to the workshop.



Important Dates

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Submission deadline: April 24, 2013

Notification of acceptance: May 01, 2013

Final version due: May 15, 2013

Workshop: July 22nd, 2013



Organisers

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* Leo Freitas (Newcastle University, UK)

* Gudmund Grov (Heriot-Watt University, UK)

* Ewen Maclean (University of Edinburgh, UK)



Contact Details

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If you have any queries, please email the organisers at the following email address:



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