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It is possible to find representations of events,
episodes and contexts which satisfy all the
requirements for a system-level model of episodic memory.
This has involved developing several new concepts:
- 1.
A representation of events based on neuroanatomy
- 2.
A representation of episodes which satisfy chunk size constraints
and with characterizing keys, which are used for retrieval
and for formation of contexts
- 3.
A hierarchical representation of contexts and a process by which they
are applied to a given situation to solve problems.
- 4.
The concepts of context and result are different from
previous AI concepts.
All of these mechanisms and representations are designed to
work on our system-level model of the brain, which is a set of
interconnected modules with associative memories.
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