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...


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

International Journal of Big Data Intelligence

Big data is a rapidly expanding research area spanning the fields of 

computer science and information management, and has become a ubiquitous 

term in understanding and solving complex problems in different 

disciplinary fields such as engineering, applied mathematics, medicine, 

computational biology, healthcare, social networks, finance, business, 

government, education, transportation and telecommunications. IJBDI 

provides a vehicle for disseminating the latest research in big data 

research, development and applications.

 International Journal of Big Data Intelligence (IJBDI) is a peer reviewed 
multidisciplinary international journal publishing original and high-quality 
articles covering a wide range of topics in big data intelligence.

 The journal welcomes author submission of original and significant contributions. 
Articles submitted should not have been previously published or be currently under 
consideration for publication any place else and should report original unpublished 
research results. The review process of IJBDI is guaranteed less than 10 weeks. 

Topics suitable for IJBDI include but are not limited to: 

-The 5Vs of the data landscape: volume, variety, velocity, veracity, value
 -Big data science and foundations, analytics, visualisation and semantics
 -Software and tools for big data management
 -Security, privacy and legal issues specific to big data
 -Big data economy, QoS and business models
 -Intelligence and scientific discovery
 -Software, hardware and algorithm co-design, high-performance computing
 -Large-scale recommendation systems and graph analysis
 -Algorithmic, experimental, prototyping and implementation
 -Data-driven innovation, computational modelling and data integration
 -Data intensive computing theorems and technologies
 -Modelling, simulation and performance evaluation
 -Hardware and infrastructure, green data centres/environmental-friendly perspectives
 -Computing, scheduling and resource management for sustainability
 -Complex applications in areas where massive data is generated

 All papers must be submitted and refereed through an on-line peer review system.

 Please read our information on preparing and submitting articles.

 - There is no submission or publication fee.
 - There is an option to publish your article in open access

 All enquiries and special issue proposals should be directed to the editor 
Robert Hsu at