adversarial-escalation

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Strategy: Progressive pressure escalation — starts with surface-level challenges and escalates to fundamental assumption attacks based on defender confidence decay.

AI & Automation 331 stars 25 forks Updated today Apache-2.0

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# Adversarial Escalation Strategy Progressive pressure: escalate attack sophistication based on defender performance. ## Method 1. **debate-architect** designs escalation ladder (surface → structural → foundational) 2. Level 1: **debate-critic** probes surface claims and evidence quality 3. **confidence-calibration** measures defender resilience 4. Level 2: **debate-critic** attacks structural coherence and logical dependencies 5. Level 3: **debate-critic** challenges foundational assumptions and paradigm fit 6. Each level only reached if defender survives previous level ## Budget Table | Parameter | S | M | L | |---|---|---|---| | Debate rounds | 4 | 8 | 12 | | Participating agents | 3 | 5 | 8 | | Coverage dimensions | 3 | 5 | 7 | | External evidence searches | 2 | 5 | 10 | ## Orchestration ``` debate-architect → [design escalation ladder] → [for each level]: debate-critic (level-appropriate attack) → debate-defender → debate-judge → confidence-calibration → (escalate if survived, terminate if collapsed) → debate-transcript-analysis → verdict-synthesis ``` ## Subagents - debate-architect (escalation design) - debate-critic (multi-level attacks) - debate-defender (responses) - debate-judge (level adjudication) - confidence-calibration (escalation trigger) <!-- BEGIN available-tables (generated) --> ## Available Tactics Optional, no fixed order; the final leaf is always a sop. | Tactic | When to use | | --- | --- | | stress-test-dialectical-escalat...

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Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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