The Size of the Knowledge Base and Speed-Knowledge Independence in the Adaptive Intelligent Systems Architecture
The Size of the Knowledge Base and Speed-Knowledge Independence in the Adaptive Intelligent Systems Architecture
The vast amount of information in
the environment suggests that the
symbolic world model which AIS builds to
represent the world may also grow very large. However, the AIS
must still be able to act within the limited response time it is afforded.
The processing speed of the underlying hardware does not guarantee this
independence, so further changes must be made to the style of control to achieve the desired
result.
Whether this desideratum
is achievable in practice appears to be an open issue for AIS.
Although, the above speed-knowledge independence is described as a
feature of AIS, the actual
LISP machine implementation shows significant performance degradation, even
before completion of a two-hour (real time) simulation. The designers
attribute this to memory management, but it is not clear that other
platforms may avoid this problem, given the possibility of data overload.
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