Find blockers and showstoppers using TOC, TRIZ contradiction analysis, and Pre-mortem techniques.
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yogsoth-ai/de-anthropocentric-research-engine - Page 10
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Identify constraints for a candidate using TOC, TRIZ, and Pre-mortem methods.
Inject artificial constraints to force creative divergence. Generates and applies constraints (resource, time, material, audience, scale) to existing ideas to produce variants.
Inject constraints โ force creative response โ extract transferable principles. Orchestrates constraint injection, response generation, and principle extraction.
Generate creative solutions under extreme constraints โ no "impossible" allowed, find a way.
Build Current Reality Tree from UDEs through causal chains to core conflicts
Evaluate whether benchmark measures its claimed capability
Build constructive alternatives from destructive negation. Transform violated assumptions into viable innovation directions.
Detect train-test data leakage and memorization artifacts
Negate a claim, derive logical consequences step by step, detect whether a genuine contradiction or absurdity emerges.
Evaluate whether a derivation chain has reached a genuine contradiction, absurdity, or inconclusive state.
Identify technical and physical contradictions in a system through functional modeling and matrix analysis.
Query the 39x39 TRIZ contradiction matrix to find recommended inventive principles for a given technical contradiction.
Systematically vary parameters along defined axes, recording performance at each point to identify degradation thresholds.
Compare results across multiple model variants โ quantitative agreement metrics and qualitative conclusion stability.
Evaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics.
Iterative convergence to a single answer through Classic Delphi, Modified Delphi, or Nominal Group Technique rounds.
Extract core conflict in Evaporating Cloud format (A-B-C-D-D')
Generate dialectical opposites for governing variables โ coherent alternative worldviews where the opposite is true.
Construct the strongest possible counter-argument to the convergence decision using Dialectical Inquiry and Thesis-Antithesis-Synthesis methods.
Systematically generate counterexamples (monsters) to a given claim using diverse heuristic strategies.
Generate counterexamples (monsters), attempt monster-barring, incorporate surviving counterexamples as lemma refinements (Lakatos method).
Tactic for reasoning about what would happen if variables were different โ supports causal identification and intervention analysis.
Construct precise, internally consistent counterfactual scenarios where specified factors are altered, then reason about the resulting conclusion.
Strategy: Legal adversarial structure โ prosecution presents case, defense responds, evidence is cross-examined, judge delivers verdict. Emphasizes evidence quality and procedural rigor.
Systematic coverage evaluation pipeline โ benchmark inventory, method-problem crossing, and intersection evaluation to map explored vs unexplored solution space.
Detect uncovered regions in the solution space, producing a prioritized gap list.
Map evaluation coverage, identify untested capability dimensions โ 20 benchmarks, 30 papers, 50 web searches
Compute coverage completeness, redundancy, and gap severity scores from a coverage map.
Creative Generation Engine โ transforms research hypotheses into diverse solution spaces via 10 parallel creativity campaigns spanning structural, analogical, destructive, and combinatorial methods.
Challenge the evaluation criteria themselves using Assumption-based Planning, Critical Systems Heuristics, and Boundary Critique to ensure the framework is sound.
Extract evaluation criteria from research goals and candidate alternatives.
Attack an advocate's case with multiple arguments rated by severity.
Strategy: Classic triangular debate โ Critic attacks, Defender responds, Judge adjudicates. Based on Irving AI Safety via Debate with Toulmin argumentation structure.
Flyvbjerg critical case methodology: select most-likely and least-likely cases to maximize inferential power.
Identify the critical chain โ longest path considering resource contention
CPM forward/backward pass with float calculation to identify the critical path
Identify which input uncertainties contribute most to output uncertainty and compute EVPI for research prioritization.
Identify the shortest execution path via CPM forward/backward pass, resource leveling, and buffer insertion
CCA: pairwise consistency checking to reduce solution space 90-99%