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 event Bulletin Item

CALL FOR PARTICIPATION: Whitehead Lecture - What Next for Nature-Inspired Computing? 20th Nov 2013, Goldsmiths, London, UK

https://www.dropbox.com/s/7dg41zhomythcpz/6%20-%20Ed%20Keedwell.pdf

Dear All

The sixth Whitehead lecture (http://www.gold.ac.uk/cccc/whitehead/) of Autumn term 2013 will be 
given by Dr. Ed Keedwell, University of Exeter, at 4 pm on Wednesday 20th November and will be 
entitled "What Next for Nature-Inspired Computing?".

An abstract for the lecture and short biography for the speaker are appended below; 

The lecture will start promptly at 4pm in the Ben Pimlott lecture theatre 
 at Goldsmiths University of London .
 
All are welcome.

 =====================================================================

What Next for Nature-Inspired Computing?
 
Dr. Ed Keedwell
 
=====================================================================
 
ABSTRACT: Nature has provided Computer Scientists with inspiration for countless algorithms to 
help solve difficult computational, engineering and scientific problems in reasonable computational
time.  Evolutionary algorithms, swarm intelligence and neural networks are among the best known 
of these and have been shown to approximate, or occasionally supersede human capability in specific
domains.  Nature-inspired computing has been a success story to date, and although it is possible 
to derive new methods from a better understanding of natural systems, there are of course a finite 
number of systems on which to base computational systems.  In this talk, I will discuss the 
achievements of nature-inspired computation to date, including its application to difficult 
problems and will explore the scope for further naturally-inspired methods, concluding with 
some thoughts on the state-of-the-art and future directions for the field.
 
 
BRIEF BIO: Dr Ed Keedwell is a Senior Lecturer in Computer Science at the University of Exeter, 
having also previously studied there as an undergraduate and postgraduate.  His research interests 
centre around the use of nature-inspired techniques to tackle difficult problems in science and 
engineering, in particular water distribution network optimisation and bioinformatics. He has over 
70 publications in computer science, engineering and bioinformatics and currently holds an EPSRC 
grant investigating the potential for the creation of low-level heuristics and the development of 
hyper-heuristics to solve real-world problems.  Dr Keedwell is also Publications Officer for the 
Society for the Study of Artificial Intelligence and the Simulation of Behaviour.