abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct a dependency graph and identify cycles, critical paths, and parallelizable branches.
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Construct a dependency graph and identify cycles, critical paths, and parallelizable branches.
name: map-dependencies description: "Construct a dependency graph and identify cycles, critical paths, and parallelizable branches."
Construct a dependency graph and identify cycles, critical paths, and parallelizable branches.
required: [items, dependency_evidence, relation_schema] optional: [criticality_rule, execution_context, candidate_order] constraints: [the graph contains at least 2 items when the source protocol applies; dependency direction and strength are explicit]
1. Normalize item identifiers and proposed dependency relations. 2. Classify each edge as strong or weak with evidence. 3. Detect cycles, compute critical paths, and identify independent branches. 4. Return the dependency graph and unresolved relation questions.
If dependency types and blocking relations are explicit, consider `sequence-work` as the next tactic.
produces: [dependency_graph, cycle_register, critical_paths, independent_branches] delta_fields: [findings, evidence_updates, uncertainties, open_questions]
The caller must provide item/subproblem schema, edge vocabulary, strength scale, evidence links, critical-path rule, and the scope in which parallel independence is assessed.
Reject self-justifying edges, cycles hidden by reordering, or "parallel" labels where shared prerequisites remain.
| source | physical line | kind | source criterion | |---|---:|---|---| | hypothesis-formation/dependency-mapping | 12 | numeric | Requires >=2 subproblems; labels strong/weak dependencies, detects cycles, identifies critical path and parallel opportunities. |
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.