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
(http://members.cox.net/bica2009/cogarch/). The intended spotlight in
2010 is on (4).