Distributed Case-Based Planning: Multi-Agent Cooperation
for High Autonomy
Department of Electrical and Computer Engineering
University of Arizona
Tucson, Arizona 85721
A drawback of typical knowledge-based systems, including case-based
reasoning systems, is that human intervention is often unavoidable when
there is a lack of knowledge necessary to solve a problem.
described here introduces the concept of cooperative case-based reasoning,
where a case-based system may interact with another case-based system
or other knowledge based system to acquire the missing knowledge it needs
to solve a problem.
The basic mechanism by which this knowledge transfer takes place is
the knowledge interface. The knowledge interface translates
information in a knowledge-based system and places it into
a globally recognized format; likewise, the knowledge interface converts
information in the globally recognized format and places it into the context
of the local system.