yogsoth-ai/de-anthropocentric-research-engine - Page 23

ahp-weighting

SOP: Use the AHP (Analytic Hierarchy Process) to determine scoring-dimension weights, outputting a weight vector

ahrq-picme-assessment

SOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions

anomaly-characterization

SOP: Describe and classify anomalous phenomena that existing theory cannot explain

answering-sequence-design

SOP: Design the optimal answering order for sub-questions

boundary-condition-specification

SOP: Specify the boundary conditions under which a hypothesis holds

competing-hypothesis-generation

SOP: Generate mechanistically distinct competing hypotheses for the same phenomenon

consistency-check

SOP: Check the transitive consistency of a pairwise judgment matrix, identify inconsistent entries, and suggest corrections

alias-resolution

SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.

analogy-extraction

Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation.

argument-visualization

SOP for generating argument structure visualization — query graph for argument chains, format as mermaid diagram or indented tree, write to vault.

artifact-detection

Detect annotation artifacts and shortcuts in benchmarks

ask-constraints

Understand hard boundaries on the user's research — target venues, methodology preferences, areas to avoid, advisor/team requirements. Not limited to ML/AI — works for any research domain.

ask-decomposition-validation

Present the GoalTree to the user for confirmation. Ask about reasonableness, missing elements, and priority ordering among sub-goals.

ask-intentionality

Deep WHY probing inspired by i* Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling —…

ask-obstacle-acceptance

Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates.

axis-validation

SOP for validating that candidate axes are independent and meaningful.

baseline-synthesis

Produce final structured baseline report integrating all analysis results

blend-construction

Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.

campaign-selection

Structured questioning SOP to determine which campaigns to include, emphasize, or skip. Used during spec generation.

causal-chain-query

SOP for tracing causal chains — follow edges from cause to effect through intermediate variables.

claim-page-creation

SOP for creating a claim page in the vault — atomic proposition with type classification, source attribution, and initial confidence.

clarify-resources

Understand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.

combination-enumeration

SOP for systematically enumerating combinations across dimensions.

compute-normalization

Normalize results by compute budget (Pareto analysis)

concept-page-creation

SOP for creating a new concept page with proper frontmatter, content, and initial edges.

condition-cataloging

Record evaluation conditions (data splits, hyperparams, hardware, seeds) from a paper

confidence-scoring

SOP for assigning calibrated confidence scores to causal claims based on evidence quality and quantity.

confidence-update

SOP for updating confidence scores on claims and evidence pages based on new information.

constraint-elicitation

Structured questioning SOP to identify practical constraints that shape the research spec. Used during spec generation.

contradiction-flagging

SOP for flagging contradictions in the causal model — identify conflicting evidence or mechanism claims.

crystallize-north-star

Fuse the GoalTree root node and user motivation into a single crystallized North Star statement. Format: '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]'. Quality checks: specific? ambitious? achievable?

dimension-page-creation

SOP for creating a dimension page — documents an axis of variation with its values and semantics.

discrepancy-identification

Compare same-method scores across sources, flag significant deviations

edge-batch-creation

SOP for creating multiple edges in a batch — efficient bulk relationship creation.

emergence-detection

Detect and validate emergent properties from combinations. Orchestrates emergent-property-identification → blend-elaboration.

evaluation-filtering

Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.

evidence-attachment

SOP for attaching evidence to a claim — create typed edge (supported_by, contradicts, qualifies) with evidence quality metadata.

evidence-linking

SOP for linking evidence pages to causal claims — creates supported_by or contradicts edges.

execution-monitoring

Monitor execution progress, detect anomalies, and report status

explore-resume

Understand the user's background comprehensively — technical stack, project experience, research experience, publications, research directions. Allows user to express interest beyond their resume. Execute once only, never re-run.