AI Europe 2016

  Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...


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AISB convention 2017

  In the run up to AISB2017 convention (http://aisb2017.cs.bath.ac.uk/index.html), I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


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Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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Notice

AISB opportunities Bulletin Item

Postdoctoral Research Assistant, Engineering, King's College London

http://www.jobs.ac.uk/jobs/LU761/Postdoctoral_Research_Assistant/

http://www.jobs.ac.uk/jobs/LU761/Postdoctoral_Research_Assistant/

Postdoctoral Research Assistant
Division of Engineering
School of Physical Sciences and Engineering
King's College London

An enthusiastic and well-qualified post-doctoral researcher is required to develop a
biologically inspired neural network model that will be used to explore neural mechanisms
underlying cognitive and behavioural development. The research will involve extending an
existing hierarchical neural network in order to simulate the learning of visual-spatial
representations in the dorsal pathway. The model will be used to incrementally learn to
control visually guided behaviour in a stereo-vision robot head and will be evaluated by
simulating infant behavioural data. This post is funded by EPSRC grant EP/D062225/1