Abstract
This chapter outlines an approach to building robots with
anticipatory behaviour based on analogies with past episodes. Anticipatory
mechanisms are used to make predictions about the environment and
to control
selective attention and top-down perception. An integrated architecture
is
presented that perceives the environment, reasons about it, makes
predictions
and acts physically in this environment. The architecture is implemented
in an
AIBO robot. It successfully finds an object in a house like environment.
The
AMBR model of analogy-making is used as a basis, but it is extended
with new
mechanisms for anticipation related to analogical transfer, for top
down
perception and selective attention. The bottom up visual processing
is
performed by the IKAROS system for brain modelling. The chapter describes
the first experiments performed with the AIBO robot and demonstrates
the
usefulness of the analogy-based anticipation approach.
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