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Dynamic prioritization of goals — the tactical step-selector that picks the next action from competing demands. Problem addressed: Goal-selection under multiple competing demands. Stabilization: When an agent receives simultaneous requests, when user intent is ambiguous, or when resource constraints force trade-offs.
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
A selector chooses the appropriate agent, process, or next step using rules or features.
Selector patterns come from routing and decision logic in software systems. Agentic architectures use them to route tasks, based on their requirements, to specialized capabilities or strategies.
Imagine a dispatch center: it records a job, checks its features, and sends it to the team with the right equipment.
A feature considered when deciding the destination.
Assigning a task to an agent or process.
A defined response to unknown or unmatched tasks.
A selector distributes work deliberately and can exploit specialization. Its quality depends on complete criteria and a useful fallback; incorrect routing can waste capabilities or amplify errors.
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