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...


AISB convention 2017

  In the run up to AISB2017 convention (, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


Harold Cohen

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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...


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 ...


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...



AISB event Bulletin Item

CFP: Bio. Inspired Cog Arch. 2010 workshop

Bio. Inspired Cog Arch.  2010 workshop, Wash., DC, 13-14 Nov 2010

This workshop is still accepting abstracts and some papers.
Contact Alexei Samsonovich  if you would like to contribute.

The challenge of creating a real-life computational equivalent of the
human mind requires that we better understand at a computational level
how natural intelligent systems develop their cognitive and learning
functions. In recent years, biologically inspired cognitive
architectures (BICA) have emerged as a powerful new approach toward
gaining this kind of understanding (here "biologically inspired" is
understood broadly as "brain-mind inspired").

Still, despite impressive successes and growing interest in BICA, wide
gaps separate different approaches from each other and from solutions
found in biology, preventing us from solving the challenge.

The narrow focus on the challenge brings together four schools of thought:

(1) computational neuroscience, that tries to understand how the brain
  works in terms of connectionist models;

(2) cognitive modeling, pursuing higher-level computational
  description of human cognition;

(3) human-level artificial intelligence, aiming at generally
  intelligent artifacts that can replace humans at work;

(4) human-like learners: artificial minds that can be understood by
  humans intuitively, that can learn like humans, from humans and
  for human needs.

The comparative table created by panelists of the BICA 2009 forum
clearly demonstrates that a joined discussion of the four schools is
possible and can be highly productive and synergistic
( The intended spotlight in
2010 is on (4).