Research

Derive logical consequences step by step from a given premise, building a traceable derivation chain.

Strategy: 将复杂研究问题分解为可独立回答的子问题层级

Identify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.

Extracts key turning points, patterns, and insights from completed debate transcripts. Produces structured summary for verdict synthesis.

Evaluates debate exchanges, adjudicates argument quality, and produces round verdicts with confidence scores and reasoning.

Responds to attacks with counter-evidence and counter-arguments. Defends artifact using evidence, clarification, and rebuttal while acknowledging valid criticisms.

Generates structured criticism from attack stance using Toulmin model. Produces claims, grounds, warrants, and rebuttals targeting artifact weaknesses.

Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters.

Top-level orchestrator for the yogsoth-ai research ecosystem. Drives the full research lifecycle from direction crystallization through experiment design.

Design structured data extraction form for systematic meta-analysis data collection

Scan a pairwise comparison matrix for preference cycles and compute transitivity metrics.

Build TOC Current Reality Trees — connect Undesirable Effects via sufficient-cause logic to identify 1-3 root causes.

Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.

Apply Ulrich's Critical Systems Heuristics 12 questions across 4 dimensions (motivation, control, expertise, legitimacy) comparing is vs ought.

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?

Multi-source cross-validation of gap authenticity — cross-database search, temporal sensitivity testing, false-gap filtering, stakeholder confirmation.

Probes defender responses for inconsistencies, logical gaps, and unsupported claims. Acts as follow-up interrogation after initial defense.

Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.

Cross-Domain Discovery Campaign — find transferable mechanisms from unrelated fields via bisociation, analogical transfer, random stimulus, and forced bridging

Verify gap existence across multiple databases (Semantic Scholar, Google Scholar, arXiv, domain-specific). Distinguishes database-specific gaps from universal gaps.

Orchestrates pairwise consistency evaluation and narrative construction to filter the morphological field

CCA: pairwise consistency checking to reduce solution space 90-99%

Identify the shortest execution path via CPM forward/backward pass, resource leveling, and buffer insertion

Identify which input uncertainties contribute most to output uncertainty and compute EVPI for research prioritization.