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...


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...


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...



AISB opportunities Bulletin Item

JOB: SENIOR RESEARCH OFFICER, Department of Computing and Electronic Systems, University of Essex

Department of Computing and Electronic Systems

Ref RE490
Location: Colchester
Job Category: Research 
Salary: 27,466-29,139                                   
Closing Date: 23/11/07

Applications are invited for the post of Senior Research Officer for a
fixed term of three years on a Leverhulme-funded project ?System
Identification for Rapid Generation of Transparent, Analysable Control
Code for Autonomous Mobile Robots?. The purpose of the project is to
develop novel machine learning methods, based on system identification,
that allow the automatic translation of observed behaviour into control
code, without resorting to traditional robot programming methods. The
successful candidate will study robot-environment interaction, applying
system identification tools such as narmax methods to the automatic
control code generation for autonomous mobile robots.  The project is
based at the University of Essex and conducted jointly with the
University of Sheffield.  


Candidates should have a PhD in computer science or engineering
sciences, and preferably some knowledge of (mobile) robotics, C
programming and system identification.  


Appointment to this full-time, fixed-term 36-month post will be from 1
April 2008.

Further information can be found at