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

Associate Research Fellow, University of Exeter, UK


The College of Engineering, Mathematics and Physical Sciences at the University of Exeter wishes to
recruit an Associate Research Fellow to investigate ant-colony optimisation techniques in 
bioinformatics. The successful applicant will implement ant colony optimisation techniques and 
investigate their potential to explore interactions in genome-wide association studies on a variety
of case-control disease datasets.

Applicants should possess (or shortly obtain) a relevant PhD and will be able to write programs 
in a modern programming language such as Python,C++, C# or Java in addition to experience of working
with nature-inspired optimisation algorithms (e.g. evolutionary algorithms, ant colony optimisation,
particle swarm optimisation).Additional experience in bioinformatics and specifically, genome-wide 
association studies would be an advantage.

Full details of the post are available here:
https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/ETREC107GF.open?
VACANCY_ID%3d5930544Ynq&WVID=3817591jNg&LANG=USA

Please direct informal enquiries to E.C.Keedwell@ex.ac.uk

Dr Ed Keedwell


Dr Ed Keedwell
280, Harrison
Phone 01392 26(4014)
Lecturer in Computer Science
University of Exeter