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

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Al-Rifaie on BBC

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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 event Bulletin Item

CALL FOR PAPERS: Vagueness, Imprecision and Uncertainty in Description Logics, 11-14 Oct 2013, Halifax, CANADA

Description Logics (DLs) are a well-established group of knowledge
representation formalisms targeted towards the representation of
terminological knowledge and reasoning procedures for it. For
applications in areas such as the Semantic Web, Bio-medicine, Context-aware
systems and others, representation of merely crisp information is not
enough. Instead it is important to deal with vague or uncertain terms,
as well as with imprecise definitions in order to reflect better the
real-world semantics and build more adequate knowledge-based systems. In
recent years, several extensions of DLs have been developed to address
these needs. However, many problems remain open in these extensions --
from fundamental questions such as what kind of semantics do applications
require to enhancing existing reasoning algorithms and systems to handle the
associated, possibly large, data.

This special session aims at bringing together researchers working on
rough, fuzzy, and probabilistic extensions to DLs, and discussing
the latest results in the area.

We solicit theoretical contributions, new empirical results, implementation
and modeling experience reports, and system demonstrations.
The session will encourage discussions that aid in the further advancement
of this emerging area.

Topics of interest include, but are not limited to:
- Decidable rough DL languages
- Rough reasoning
- Scalable reasoning with data properties for rough set attributes
- Interaction of rough ontologies with large amounts of data
- Applications of rough ontologies
- Rough set decision tables and DLs
- Vagueness and imprecision in DLs
- Fuzzy and other extensions of DLs for vagueness
- Probabilistic DLs
- Possibilistic and other extensions of DLs for uncertainty
- System descriptions and empirical results
- Experiences on modeling vague, imprecise or uncertain knowledge

Submissions are made through Easychair at

When submitting, please make sure to select the corresponding Special

Submitted paper should be between 8 and 10 pages long, in
Springer LNCS format. All accepted papers will be published in
Springer's LNAI series.

A Special Issue of a journal is planned for the best submissions.

Submission Deadline: May 25

Maria Keet. University of KwaZulu-Natal, South Africa.
Pavel Klinov. University of Ulm, Germany.
Rafael Pealoza. TU Dresden, Germany.
Anni-Yasmin Turhan. TU Dresden, Germany.