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...


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...


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...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  



AISB opportunities Bulletin Item

EPSRC PhD Studentship - Insect and robot navigation, University of Sussex

EPSRC PhD Studentship - Insect and robot navigation

Centre for Computational Neuroscience and Robotics
School of Life Sciences, University of Sussex

Applications are sought from UK candidates for a 3.5 year DPhil
studentship available from January 2007. (Due to funding restrictions,
EU candidates can only be considered if they have been resident in the
UK for the last three years). Initial inquires should be made to Dr
Paul Graham ( in the Centre for Computational
Neuroscience and Robotics.

  We are studying insect navigation using both behavioural
experiments and robotic modelling. There is a DPhil studentship
available for a student to study the sensori-motor basis of
visually-guided navigation in ants. Students will be expected to be
involved in both behavioural experiments and computational modelling.
Ideally, applicants should have a biological background as well as
some programming skills and candidates with computational modelling
experience (e.g. image processing, agent based modelling, neural
networks) are especially encouraged.