Scalability of Meta-Reasoning Architectures
Scalability of Meta-Reasoning Architectures
Scalability is a serious problem for the
meta-reasoning architecture.
Declarative
memory explodes as new knowledge is added to the system and the
rules
required for operator selection become so numerous that
selection of relevant operators and the determination of context is
significantly slowed.
This aspect of the architecture trades-off directly with the
architectural
intention that the agent retain responsiveness necessary to behave
sensibly in dynamic and
complex environments.
Return to the Issues Index for this Architecture.
Return to the top of this architecture.
Go to a Discussion of this
issue for multiple architectures.
Current Location: Meta-Reasoning-Issues-Scalability