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9.2 “Investment Learning” or “Mixture-of-Expertise” Architecture 127

9.2 “Investment Learning” or “Mixture-of-Expertise”

Architecture

Here, we approach a solution in a modular way and suggest to split learn-
ing structurally and temporally: the structural split is implemented at the
level of the learning moduls:

the T-BOX;

the META-BOX, which has the responsibility for providing the map-
ping between the context information c to the weight or parameter
set .

The temporal split is implemented at the learning itself:

The first, the investment learning stage may be slow and has the task
to pre-structure the system for

the one-shot adaptation phase, in which the specialization to a par-
ticular solution (within the chosen domain) can be achieved extremely
rapidly.

These two stages are described next.

9.2.1 Investment Learning Phase

Prototypical
Context (2) ω
Meta-Box
parameters
c (2) or weights
X
2
X 1 T-Box
(1) (1)

Figure 9.2: The Investment Learning Phase.

In the investment learning phase a set of prototypical context situations is ex-
perienced: in each context j the T-BOX is trained and the appropriate set of