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 event Bulletin Item

CALL FOR PAPERS: Knowledge Intensive Automated Reasoning, 17 Jul 2014, Vienna, AUSTRIA


KInAR - Knowledge Intensive Automated Reasoning

Workshop at IJCAR 2014

Venue: IJCAR 2014, hosted by the Vienna Summer of Logic, Vienna, Austria
Date: 17 July 2014

Submission Deadline: 28 April 2014
Details see

Workshop Overview

Automated reasoning (AR) systems have been advancing in their 
capabilities, allowing them to operate on increasingly larger and more 
complex theories. At the same time extensive digital sources of knowledge 
are becoming available, ranging from formal ontologies over databases and 
dictionaries to natural language references. Online sources like 
Wikipedia, mathematical libraries like Mizar, IMDb and various search 
engines and web services have gained widespread acceptance among the 
general population, but the sheer quantity of data can be an obstacle for 
human users. To make such knowledge more accessible there is a growing 
interest to employ the deductive power of AR systems. Not only does this 
provide challenges to researchers in the field of automated deduction, but 
it is also a chance to bring the results into the public, and to see a 
large-scale practical usage of AR.