research-task

Compositional workflow planning for research tasks involves characterizing your specific inquiry, selecting matching research archetypes from a strategy library, executing the chosen strategy, and performing self-evaluation to assess output quality.

Task characterization and dimension scoring evaluate complex research inquiries by mapping specific attributes, enabling the precise selection of appropriate research archetypes from a strategy library before execution.

Selecting the right research strategy requires characterizing your task dimensions and matching them against available archetypes in a research strategy library to ensure the chosen method fits the inquiry.

Map-elites can structure research strategy evaluation by illuminating diverse high-quality solutions across task dimensions, supporting the self-evaluation phase required after executing compositional research workflows.

Using a research strategy library limits execution to predefined archetypes, meaning highly novel complex inquiries may lack a perfectly matching strategy, requiring flexible adaptation during the self-evaluation phase.

Research-task operates without external dependencies, but requires a built-in library of research strategies to characterize tasks, select methods, execute workflows, and perform self-evaluation effectively.