[ACT-R-users] AAAI Fall Symposium on Achieving Human-Level Intelligence through Integrated Systems and Research

[Nick Cassimatis]

Title: Achieving Human-Level Intelligence through Integrated
Systems and Research

Date: October 22-24, 2004.
Submission Deadline: May 3, 2004
Location: Washington, DC.
URL: http://xenia.media.mit.edu/~nlc/conferences/fss04.html


Description:

Although there has been substantial progress in some of the
subfields of artificial intelligence during the past three
decades, the field overall is moving toward increasing
subfield isolation and increasing attention to near-term
applications, retarding progress toward comprehensive
theories and deep scientific understanding, and ultimately,
retarding progress toward developing the science needed for
higher-impact applications. Recent work in artificial
intelligence, in addition to cognitive psychology,
neuroscience, and linguistics, presents an opportunity to
reverse this specialization and reinvigorate the field's
focus on understanding and developing human-level
intelligence.

Because there are so few venues for research on integration
and because the opportunity is so great, we propose to
gather researchers working across the boundaries of their
subfields to explore new computational techniques and
research methodologies for integrating research results to
produce more intelligent systems.

We plan to address three broad topics of interest. First,
what can models of vision, language, learning, and reasoning
in fields such as cognitive psychology, linguistics and
neuroscience contribute to artificial intelligence? Is there
a way to describe and organize these results so that they
can be more easily shared and combined across subfields?
Second, how can we integrate multiple perception, action,
representation, learning, planning, and reasoning systems to
build cognitive models and intelligent systems that
significantly advance the level of intelligence we can model
or achieve? Is there a way to characterize the strengths and
weaknesses of each approach and determine when to use each?
Finally, what kind of theoretical, methodological, or
technological innovations are needed to accelerate this
research? Will it require advances in cognitive modeling,
cross-domain and inter-subfield ontologies, or some kind of
institutional transformation?

The topics of interest lead us to encourage a wide range of
presentations, including presentations focused on the
integration and interconnection of multiple systems, on the
contributions of fields such as cognitive psychology,
neuroscience, and linguistics to integration questions, and
on methodological issues having to do with integration.