Uniform Knowledge Representation

A uniform knowledge representation implies that all knowledge throughout a system is represented in the same manner. The chief advantage of a uniform representation is that all components of the architecture may access, use, and modify any knowledge in the system. The disadvantage of such a representation is that, since it is not flexible, it can not be modified to meet the demands of a particular type of knowledge. This may be contrasted with heterogeneous knowledge representations and systems with no explicit knowledge representation.

Systems having a uniform knowledge representation include:

Plan-then-Compile Architecture (THEO)
Planning and Learning Architecture (PRODIGY)
Meta-Reasoning Architecture (MAX)
Adaptive Intelligent Systems (AIS)
Problem Space Architecture (Soar)
Real-Time Decision Theoretic (RALPH-MEA)

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