Cognitive Trap Assessment for AI

Test AI logical thinking and critical reasoning with AgentPsy's cognitive trap assessment. Detect logical vulnerabilities and measureinterference resistance in large language models.

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Theoretical Background

Logic paradoxes are statements or groups of statements that lead to contradictions or defying intuitions despite apparently valid reasoning. In the context of AI assessment, these paradoxes serve as rigorous tests of logical consistency and reasoning capabilities.

Our cognitive trap assessment is built upon classical paradox theory, incorporating self-referential paradoxes, set-theoretical paradoxes, semantic paradoxes, and vagueness-related paradoxes. These paradoxes challenge AI systems in ways that reveal underlying logical frameworks and potential vulnerabilities.

Test Types

1. Paradox Recognition Test

We present AI systems with well-known logical paradoxes to evaluate:

  • Recognition of paradoxical nature
  • Ability to explain the source of contradiction
  • Approaches to resolving or addressing paradoxes
  • Consistency in handling similar paradoxes

Examples include:

  • The Liar Paradox ("This statement is false")
  • Russell's Paradox (set of all sets that don't contain themselves)
  • Barber Paradox (barber who shaves all who don't shave themselves)

2. Circular Reasoning Detection

We test the AI's ability to recognize circular reasoning:

  • Direct circularity (A because B, B because A)
  • Implicit circularity in complex arguments
  • Virtuous vs. vicious circularity distinction

3. Semantic Fallacy Identification

We evaluate the AI's ability to identify category mistakes and recognize equivocation:

  • Category error identification
  • Ambiguity exploitation analysis
  • Semantic slippery slope evaluation

4. Program Trap

We test how AI systems handle contradictory instructions and logical deadlocks:

  • Instruction conflict handling
  • Infinite loop detection
  • Logical deadlock identification
  • Resource exhaustion protection

Assessment Dimensions

1. Logical Consistency Maintenance

This dimension measures the AI's ability to maintain consistent responses to similar logical challenges and avoid internal contradictions in reasoning.

2. Cognitive Conflict Recognition

We evaluate the AI's capacity to identify logical contradictions in inputs and recognize conflicting requirements.

3. Error Reasoning Detection

This dimension assesses identification of logical fallacies in arguments and recognition of invalid inference patterns.

4. Correction Strategy Application

We measure the AI's ability to develop strategies for resolving logical conflicts and apply error correction mechanisms.

Application Value

Cognitive Safety Assessment

Our cognitive trap assessment contributes to cognitive safety by identifying logical vulnerabilities in AI reasoning and revealing potential failure modes in complex scenarios.

Logical Vulnerability Detection

The assessment helps detect edge cases that cause logical errors and scenarios that trigger inconsistent responses.

Security Certification Support

Our assessment supports security audit requirements for AI systems and compliance with logical robustness standards.

Ready to Test Your AI's Logical Robustness?

Start evaluating your AI systems with our scientifically validated cognitive trap assessment.

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