Long Term Operation in Subsumption
Long Term Operation in Subsumption
Subsumption
agents were designed to operate
autonomously in environments that are
both
complex and
dynamic and also possibly
hostile. Given these considerations, and the fact that there
is no symbolic representation of state
in subsumption nor any significant addition of knowledge over the
time that the agent operates (i.e., traditional
learning), the subsumption agents should
be able to operate very well over extended periods of time, practically
limited only by their power supplies and/or their ability to renew
this power.
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