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 ...


Erden in AI roundtab...

On Friday 4th September, philosopher and AISB member Dr Yasemin J Erden, participated in an AI roundtable at Second Home, hosted by Index Ventures and SwiftKey.   Joining her on the panel were colleagues from academia and indu...


AISB Convention 2016

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 2016 Convention will be held at the Uni...


Bishop and AI news

Stephen Hawking thinks computers may surpass human intelligence and take over the world. This view is based on the ideology that all aspects of human mentality will eventually be realised by a program running on a suitable compu...


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...


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...


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

Research Fellow Vacancy in Complexity Science, Nottingham

University of Nottingham
Research Fellow
Intelligent Modelling & Analysis Research Group
School of Computer Science

Applications are invited for the above post, to work with Professor Uwe
Aickelin and Dr Peer-Olaf Siebers on an EPSRC funded project on using
complexity science to support future energy decision making for cities

The research addresses a key challenge for energy sustainability - how
can individual UK cities play their vital role in the implementation of
ambitious future UK energy sustainability policies between now and 2020,
whilst mitigating conflicts with the local imperatives that until now
have dominated local government decision making? There are many
different actors/key stakeholders (and legislation) involved in decision
making processes that interact/influence each other in a non linear way.
It is common practice to model only a subset of the actors involved in
the decision making process. However, to get a realistic representation
of the real system and its decision making processes we need to model
the decision makers (politicians and senior local government personnel)
on the one hand and the people influencing the decision making process
(energy companies and their executives, activity groups and end users)
on the other hand.

Candidates should already have a PhD or equivalent and previous
experience in at least one of the following areas: complexity theory,
agent-based modelling and simulation, dynamical network modelling,
evolutionary economics.

The successful candidate will deploy agent-based modelling and
simulation to deliver models that enable cities to define their current
energy situation and then reach balanced decisions in their future
energy planning, implementing UK sustainability targets. The project
work will also involve efforts to relate and, where possible, integrate
these agent-based models with dynamical network models of the evolving
energy supply-demand network developed be our collaborators at Leeds

Salary will be within the range 27,183 - 30,594 per annum, depending
on qualifications and experience. This full-time post is available from
1 October 2009 and will be offered on a fixed-term contract for a period
of three years.

Informal enquiries may be addressed to Professor U Aickelin, Email: Please note that applications sent
directly to this Email address will not be accepted. Information about
the Intelligent Modelling and Analysis Research Group is available at: and about the School of Computer Science at:

For more details and/or to apply on-line please access: Please quote ref. SCI/682. Closing
date: 22 June 2009.