Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.
Quellsprache: Englisch
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SkillsMP hat 961 Skills aus yogsoth-ai/de-anthropocentric-research-engine gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
yogsoth-ai/de-anthropocentric-research-engineEs werden 40 von 961 gesammelten Skills angezeigt.
Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.
Quellsprache: Englisch
Score each candidate alternative against all criteria to produce a score matrix.
Quellsprache: Englisch
Generate alternatives for every known approach — ensure no approach goes unchallenged.
Quellsprache: Englisch
Systematic structure-mapping from source to target domain (Gentner). Identify relational correspondences and transfer higher-order constraints.
Quellsprache: Englisch
Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface.
Quellsprache: Englisch
Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment.
Quellsprache: Englisch
KAOS-style recursive goal decomposition. AND decomposition for sub-goals that must ALL be satisfied. OR decomposition for alternative paths where any one suffices. Produces a GoalTree (DAG structure).
Quellsprache: Englisch
Tactic: Inductive/abductive path — describe anomalous phenomena, generate candidate explanations, rank by plausibility
Quellsprache: Englisch
Challenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.
Quellsprache: Englisch
Search for positive deviants and extract transferable principles using Appreciative Inquiry.
Quellsprache: Englisch
Find positive deviants and reframe the problem from deficit-based to asset-based using Appreciative Inquiry.
Quellsprache: Englisch
Establish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.
Quellsprache: Englisch
Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.
Quellsprache: Englisch
Extract and steel-man the core arguments supporting a given opinion cluster.
Quellsprache: Englisch
Strategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny.
Quellsprache: Englisch
Rate each identified obstacle's difficulty — overcomability, time cost, workaround existence. May optionally use search tools to validate assessments.
Quellsprache: Englisch
Standardize assignee names and identify corporate group affiliations across patent offices
Quellsprache: Englisch
Surface all assumptions, classify by vulnerability (load-bearing × likely-false), validate causal logic. Focus on dangerous assumptions — high load-bearing + non-explicit.
Quellsprache: Englisch
Tactic: Surface assumptions, sort by dependency, attack root assumptions first, then trace cascade failures through the dependency graph.
Quellsprache: Englisch
Build assumption dependency graphs and trace cascade failures when root assumptions are invalidated.
Quellsprache: Englisch
Challenge each assumption's validity — shared cross-repo SOP
Quellsprache: Englisch
Which assumptions are most fragile? — Vulnerability ranking + impact assessment of experiment assumptions
Quellsprache: Englisch
Measure how much conclusions change when each assumption is negated. Ranks assumptions by their impact on the final result.
Quellsprache: Englisch
Systematic extraction, challenge, and sensitivity analysis of assumptions underlying a decision to identify load-bearing beliefs.
Quellsprache: Englisch
Classic reductio ad absurdum: negate the core claim, derive logical consequences, seek contradiction or absurdity.
Quellsprache: Englisch
Systematic stress testing of assumptions — surface, classify by vulnerability, attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification, and clr-validation SOPs.
Quellsprache: Englisch
Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution.
Quellsprache: Englisch
Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed.
Quellsprache: Englisch
Identify and suspend fundamental assumptions via de Bono PO. Systematically negate axioms to reveal hidden solution spaces.
Quellsprache: Englisch
Tactic for systematically extracting axes of variation from literature — identify how practitioners compare approaches.
Quellsprache: Englisch
Gather independent ranking ballots from multiple judges or perspectives for a given candidate set.
Quellsprache: Englisch
Select appropriate baselines for experimental comparison
Quellsprache: Englisch
Systematic quality assessment using BetterBench 46-criterion framework — 5 benchmarks, 30 papers, 40 web searches
Quellsprache: Englisch
Identify and negate benchmark assumptions. Deconstruct best practices to reveal hidden constraints and open new spaces.
Quellsprache: Englisch
Systematically scan all known solutions, identify gaps in coverage and unexplored regions of the solution space.
Quellsprache: Englisch
Produce final structured audit report
Quellsprache: Englisch
Select the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.
Quellsprache: Englisch
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Quellsprache: Englisch
Map technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology.
Quellsprache: Englisch
Extract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function.
Quellsprache: Englisch