Define optimization objectives, constraints, and trade-off preferences from context and candidate information.
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yogsoth-ai/de-anthropocentric-research-engine - Page 17
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Identify what blocks the user from pursuing their chosen direction, assess severity, propose mitigations with search-validated evidence, and get user acceptance. Use after direction-narrowing has identified a specific direction.
TOC Prerequisite Tree — list obstacles preventing direct achievement of the objective
Rate failure mode occurrence probability 1-10. Estimates how likely each failure mode is to manifest during research execution.
Strategy for iterative ontology improvement — merge duplicates, fill gaps, update confidence, prune dead branches.
Execute multi-objective optimization on candidates to produce a Pareto front of non-dominated solutions.
Find organisms solving similar problems. Search across kingdoms for biological champions.
Select the next comparison pairs that maximize information gain given current ratings and comparison history.
Tactic: rank gaps through relative comparison rather than absolute scoring, suited to hard-to-quantify situations
Compare two methods across multiple studies — paired meta-analysis protocol design. Budget: 30 studies, 30 effect sizes, 40 web searches.
Enumerate possible values for each uncertainty driver using MECE principles
Identify the key parameters/dimensions of a problem space. Produces a structured parameter list with value ranges for morphological analysis.
Quick Morris method screening to identify which parameters have large effects and which can be safely ignored.
Orchestrates driver identification and parameter enumeration to build the complete morphological field
Identify all parameter dimensions along which a claim's validity might vary.
Systematic one-factor-at-a-time parameter sweep
Build the Pareto frontier from multi-objective optimization, visualize trade-offs, and select a portfolio from non-dominated solutions.
Create visual representation of the Pareto frontier showing trade-offs between objectives with narrative explanation.
Classify patents by tech subdomain, application scenario, and value chain position
Forward/backward patent citation and priority tracing until saturation
Construct keyword + IPC/CPC + assignee combination search strategies for patent databases
Produce final structured patent intelligence report from all analysis results
Generate combination paths through consistent space
Systematically extract performance data and conditions from papers — 30 methods, 150 data points, 40 web searches budget
Build a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns.
Empathic identification — become the system/component. First-person embodiment to discover hidden constraints and opportunities.
First-person empathic identification with a system or component. Produces experience description and design insights from embodiment.
Define distinct stakeholder or analytical perspectives with their values, concerns, and evaluation criteria.
Attack a decision from a specific assigned perspective, producing rated arguments and constructive alternatives.
Evaluates artifact from a specific assigned perspective. Produces assessment grounded in that viewpoint's values, priorities, and expertise.
Synthesize all perspective outputs into a structured multi-perspective idea report.
Construct PICO/PECO framework for the meta-analysis research question
Generate PO (Provocative Operation) statements per de Bono's lateral thinking. Creates deliberately illogical provocations to escape dominant thinking patterns.
Map unresolvable tensions as Johnson polarities — 4 quadrants (positive/negative of each pole), early warnings, action steps for managing rather than solving.
Evaluate a specific portfolio's performance metrics and vulnerabilities under a given scenario.
Synthesize all per-scenario evaluations into a final portfolio recommendation with robustness score and actionable guidance.
Engineer perspective — assess buildability, cost, timeline, and integration challenges.
Execute Klein pre-mortem protocol — assume failure has occurred, generate plausible failure scenarios through prospective hindsight.
Tactic: Pre-mortem rapid screening feeds high-risk items into full FMEA analysis. Bridges fast intuitive generation with systematic structured analysis.
Identify obstacles blocking direct achievement and design intermediate objectives to overcome each