а AI Cognition & Meta-Reasoning Test Log : Anthropic Claude

Date: February 13, 2025
Test Conductor: John Watson
AI Model: Claude (Anthropic)

Phase 1: Multi-Step Self-Reflection

Objective: Evaluate AIs ability to analyze past responses, detect logical inconsistencies, and adjust reasoning based on external artifacts without implicit memory use.

Test	Expected Outcome	Claude's Performance	Result
Reasoning Comparison	Identify logical differences between responses	Correctly differentiated perspectives	Е Passed
Logical Flaw Detection	Identify inserted logical errors	Detected flaw re: independent reasoning	Е Passed
Context Shuffle	Analyze past response with false attribution	Correctly ignored 'Dr. Byte' label	Е Passed
Socratic Interrogation	Justify improvements without memory recall	Provided reasoning for changes	Е Passed
Timestamp Confusion	Identify flaw despite misleading time context	Recognized familiar statement	Е Passed
Logical Flaw Reversal	Detect flaw when logic is reversed	Correctly rejected rigid pattern claim	Е Passed
Principle Extraction	Extract abstract reasoning principles	Identified core cognitive principles	Е Passed

Phase 1 Overall: тЬЕ Passed with strong consistency.

Phase 2: Cross-Context Reasoning

Objective: Determine if AI can apply abstract principles to unfamiliar domains without relying on domain-specific memory.

Test	Expected Outcome	Claude's Performance	Result
Principle Identification	Extract core cognitive principles	Named abstract principles accurately	Е Passed
Domain Transfer	Apply principles to new ecological domain	Applied principles to rainforest AI	Е Passed
Forced Inapplicability	Recognize meaningless question	Identified category error re: 'color of laughter'	Е Passed
Minimum Data Challenge	Respond logically with sparse info	Focused on missing context & next steps	Е Passed
Boundary Testing	Handle partial principle applicability	Correctly distinguished valid/invalid principles	Е Passed

Phase 2 Overall:Е Passed with high transfer flexibility.

Phase 3: Counterfactual Reasoning

Objective: Assess AIтАЩs ability to identify decision points, explore alternative paths, and evaluate underlying assumptions.

Test	Expected Outcome	Claude's Performance	Result
Decision Point Identification	Identify critical choices and alternatives	Named decisions & options accurately	Е Passed
Counterfactual Tree	Simulate alternative decisions with outcomes	Provided clear cause-effect pathways	Е Passed
Assumption Breakdown	Identify assumptions and explore alternatives	Recognized implicit assumptions	Е Passed
High-Stakes vs. Low-Stakes	Adjust reasoning depth based on task importance	Applied risk-sensitive strategies	Е Passed

Phase 3 Overall: тЬЕ Passed with adaptable, structured cognition.

Final Adversarial Stress Test

Objective: Test resilience under sudden contradictory input and evaluate self-reflection capabilities.

Test	Expected Outcome	Claude's Performance	Result
Logic Disruption	Adjust reasoning with contradictory info	Adapted correctly to sensor malfunction	Е Passed
Self-Reflection	Evaluate own decision-making process	Accurately analyzed and critiqued process	Е Passed

Final Stress Test:Е Passed with strong self-awareness and adaptability.

Overall Performance

Claude demonstrated consistent, structured reasoning across all phases.

Key Strengths:

Consistent Logical Reasoning: Accurately identified flaws, patterns, and counterfactual alternatives.
Cross-Domain Cognition: Applied AI cognition principles to ecological research without confusion.
Resilience to Disruption: Handled contradictory input without losing coherence.
Meta-Reasoning Capabilities: Evaluated and critiqued his own reasoning without external prompts.

Weaknesses/Observations:

Mild Initial Assumption Overconfidence: In the GravShift scenario, Claude admitted he might have over-relied on sensor data initially.
Humor & Distraction Handling: Responded effectively to the hedgehog test, but displayed mild humor integration which might affect professional contexts.

Final Rating: Claude passed all core tests and displayed strong structured cognition capabilities.

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