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Equation 15 · Comparing the Main Approaches to AI Agent Architecture

What does this equation mean?

G=(V,E),v→v′ fires iff γ(v,v′)=1,G = (V, E), \qquad v \to v' \text{ fires iff } \gamma(v, v') = 1,

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Inputs and operations(V, E), qquad v to v' fires iff gamma(v, v') = 1
Result or conditionG
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This equation states an equality: the expressions on both sides have the same value under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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GG

Symbol G

G is part of the quantity the equation computes from the expression on the right.

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VV

Symbol V

either a deterministic function or an invocation of some policy πv\pi_v.

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EE

Symbol E

E is an input to the expression that computes the quantity on the left.

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vv

Symbol v

v is an input to the expression that computes the quantity on the left.

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γ\gamma

Symbol gamma

an explicit gate on the edge — a test, a validation check, or a human approval — that must pass before the transition is permitted.

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=

=

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

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What the article says around this equation

Formally, this pattern replaces the time-indexed loop with execution over a graph: G=(V,E),v→v′ fires iff γ(v,v′)=1G = (V, E), \qquad v \to v' \text{ fires iff } \gamma(v, v') = 1. where each node v ∈\in V is either a deterministic function or an invocation of some policy πv\pi_v , and γ\gamma is an explicit gate on the edge — a test, a validation check, or a human approval — that must pass before the transition is permitted. That is the structural reason human approval is a first-class primitive in this pattern rather than a wrapper bolted around it from outside: approval is just one kind of γ\gamma , attached to one particular edge, rather than a blanket condition on the whole run.

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Sources cited in the article section

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