Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

Postdoctoral positions in reachability problems, Bordeaux & Cachan, FRANCE


The ANR project REACHARD proposes several PostDoc positions on reachability problems for counter 
systems, including vector addition systems and related models. Each position can take place either
- at LaBRI, University of Bordeaux, France (http://www.labri.fr/), or
- at LSV, ENS Cachan, France (http://www.lsv.ens-cachan.fr).

See also http://www.lsv.ens-cachan.fr/Projects/anr-reachard/.

** HOW TO APPLY **

Candidates for PostDoc positions should  send to anr-reachard@lsv.ens-cachan.fr a detailed 
curriculum vitae, a reference letter by the PhD supervisor and a link to the PhD thesis.


** THE PROJECT REACHARD IN A NUTSHELL **

Many standard verification problems can be rephrased as reachability problems, and there exist 
powerful methods for infinite-state systems; see e.g. the theory of well-structured transition 
systems.  However, obtaining decision procedures is not the ultimate goal, which we rather see 
in crafting provably optimal algorithms---required for practical use.  In the ANR project REACHARD,
we focus on algorithmic issues for the verification of counter systems, more specifically to 
reachability problems for vector addition systems with states (VASS) and related models.

More specifically, the main objective of the ANR project REACHARD is to propose a satisfactory 
solution to the reachability problem for vector addition systems, that will provide significant 
improvements both conceptually and computationally.  Recent breakthroughs on the problem and on 
related problems for variant models should also allow us to propose solutions for several 
extensions, including for instance VASS with one zero-test or branching VASS.  Furthermore, the 
goal is to take advantage of the new proof techniques involving semilinear separators designed by 
J. Leroux in order to design algorithms that are amenable for implementation.  We propose to 
develop original techniques in order to solve the following difficult issues:

- to understand the mathematical structure of reachability sets and relations in vector addition systems,

- to develop new techniques for the computational analysis of reachability problems that are 
verification problems connected in some way to the reachability problem for VASS or their extensions,

- to design algorithms, most probably on the lines of Karp & Miller algorithms, plus relating 
flattening methods and semilinearity,

- to widen the scope of our analysis to models richer than VASS, including models with restricted 
zero-tests or with branching computations.

** FURTHER INQUIRY **

Any further inquiry should be sent to anr-reachard@lsv.ens-cachan.fr.