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Equation 6 · Part 8 · Comparing the Main Approaches to AI Agent Architecture

=

P=πplan(o0, g),at=πexec(P, ot).P = \pi_{\text{plan}}(o_0,\ g), \qquad a_t = \pi_{\text{exec}}(P,\ o_t).
=

What this part means

The expressions on both sides represent the same quantity under the stated assumptions.

Its job in the formula

The equals sign connects the complete expression on the left with the complete expression on the right. Both sides must have compatible units.

The passage around this formula

Formally, this replaces the single-loop policy with two functions and one artifact: P=πplan(o0, g),at=πexec(P, ot)P = \pi_{\text{plan}}(o_0,\ g), \qquad a_t = \pi_{\text{exec}}(P,\ o_t). The plan P is computed against the belief state available at time zero and then held fixed; the executor applies it against a stream of later observations without necessarily invoking the planning policy again. That is precisely the assumption a classical open-loop plan makes, and it is a specific instance of the belief-state fragility decision theory already names: a policy computed once from a belief state is only as good as that belief state stays accurate, and nothing in the equation above notices when the two have quietly come apart [ 11 ] .

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Learn the underlying idea

An equals sign says that the expression on its left and the expression on its right have the same value under the stated definitions and assumptions.

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Sources cited in the surrounding passage

These citations provide research context; check each source for the exact claim it supports.