S. Coradeschi, D. Driankov, L. Karlsson, and A. Saffiotti
An intelligent physical agent must incorporate motor and perceptual
processes to interface with the physical world, and abstract cognitive
processes to reason about the world and the available options. One
crucial aspect of incorporating cognitive processes into a physically
embedded reasoning system is the integration between the symbols used by
the reasoning processes to denote physical objects, and the perceptual
data corresponding to these objects. We treat this integration aspect by
proposing a fuzzy computational theory of anchoring. Anchoring is the
process of creating and maintaining the correspondence between symbols and
percepts that refer to the same physical objects. Modeling this process
using fuzzy set-theoretic notions enables dealing with perceptual data
that can be affected by uncertainty/imprecision and imprecise/vague
linguistic descriptions of objects.
S. Coradeschi, D. Driankov, L. Karlsson, and A. Saffiotti.
Proc. of the IEEE Intl. Conf. on Fuzzy Systems
, pp. 111-114.
Melbourne, Australia, 2001.