Complete World Knowledge
Sometimes an agent knows all possibly relevant information about its
domain. In this case, learning is
not required for domain understanding and the behavior of the system can be precoded,
dependent on perceptions of course.
Associated with these environments is the closed world assumption,
under which any fact not known to the agent can be taken to be false. This
is similar to complete world knowledge, in that the agent knows everything
that is true about its domain. This assumption greatly simplifies
declarative representation
tasks.
The following architectures make the assumption that complete world
knowledge is available to the agent:
The following architectures explicitly avoid making this assumption:
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