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Prof. Roland Hausser
Department of Computational Linguistics Frederich Alexander University Erlangen, Nueremberg, Germany Wednesday, February 28th, 15SH, 4:00 pm - 5:00 pm |
ABSTRACT:
This paper presents a control structure based on the principle of
balance. This principle mediates between the knowledge of the
cognitive agent CA and its current situation. CA's knowledge is
represented in the form of concatenated propositions. These are
individuated into recognition-action-recognition (rac) sequences.
Each rac sequence is assigned a need vector indicating whether the
associated action raised, lowered, or left unchanged associated
physiological or social need parameters. Recognizing a certain
combination of concepts, CA activates rac sequences beginning with
those concepts, choosing the rac sequence most likely to maintain or
regain equilibrium as its model of action in that situation. This
general mechanism for keeping the need parameters within normal
range may be viewed as a computational implementation of the notion
of purpose or intention.
Prof. Roland Hausser studied mathematics and literature in Berlin, and
obtained a Ph.D. in theoretical linguistics from the University of
Texas at Austin in 1974. He subsequently taught at the University
of Munich, where he obtained his habilitation in 1983. He spent
a total of 12 years in the US, divided evenly between Austin,
Pittsburgh, and Stanford. He is now Professor of Computational
Linguistics at the University of Erlangen Nuernberg.