Introduction
This website presents numerous links on the loosely related theme that we've been looking at cognitive/perception problems the wrong way round. Typically we see complexity, and despair of abstracting it. The suggestion here is that instead we treat complexity as a resource which can be used to model structure, and thus meaning, with much greater power than would otherwise be possible.
"The Need for New Representational Principles"
Wed, 05/28/2008 - 22:44 — robVector symbolic architectures.
Paper:
http://www.cs.wlu.edu/~levy/pubs/agi_2008_levy_gayler.pdf
And presentation:
http://video.google.com/videoplay?docid=-6666777138089848257
Paper on coding word order (and meaning) by convoluting vectors
Wed, 05/28/2008 - 22:21 — robJones, M. N., & Mewhort,D. J. K. (2007). Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114, 1-37.
http://psyc.queensu.ca/~hiplab/LAB_PUBS/Jones_Mewhort_PR.pdf
Also code here:
Self-reference and feedback
Wed, 05/21/2008 - 17:31 — robI'm struck by the parallel between the emphasis on "feedback" in Ben Goertzel's "Chaotic Logic" and the emphasis on "self-reference" in Douglas Hofstadter's "Goedel, Escher, Bach".
Goertzel:
"The basic article of faith underlying complex systems science is that there are certain large-scale patterns common to the behavior of different self-organizing systems. And perhaps the simplest such pattern is the feedback structure -- the physical structure or dynamical process that not only maintains itself but is the agent for its own increase. "
The site is expanding
Sat, 04/12/2008 - 16:05 — robThe format is changing from a narrow focus on parsing to a broader consideration of language and meaning, and the relationship of both to complexity theory.
Check back often. There will be links to relevant work in the fields of cognition, mathematics, artificial intelligence, the theory of computation, ontology, and philosophy.
