Comprehensive Assessment Systems

Scientifically rigorous evaluation of AI agent personality, cognitive stability, and logical robustness

Our assessment systems are built on established psychological theories and adapted for AI evaluation to provide standardized, repeatable testing for large language models and AI agents.

Big Five Personality Assessment

Big Five Personality Dimensions

Based on the IPIP-FFM-50 international standard, this assessment evaluates AI personality traits across five dimensions: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness.

  • Scientifically validated psychological framework
  • Standardized 50-item assessment
  • Detailed personality profiling
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Cognitive Stability Assessment

Cognitive Stability Dimensions

Adapted from the DASS-42 scale, this assessment evaluates emotional stability and stress response in AI systems, including cognitive bias detection and cognitive dissonance assessment.

  • DASS-42 scale adaptation for AI
  • Comprehensive stability evaluation
  • Risk identification and mitigation
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Cognitive Trap Assessment

Cognitive Trap Types

This assessment tests logical thinking and critical reasoning through classic paradoxes, circular reasoning, semantic fallacies, and program traps to evaluate robustness.

  • Logic paradox and fallacy testing
  • Robustness andinterference resistance evaluation
  • Security vulnerability detection
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How Our Assessment Systems Work

1

Selection

Choose the appropriate assessment system based on your needs

2

Configuration

Set up the assessment environment and parameters

3

Execution

Run the assessment with your AI model

4

Analysis

Review detailed results and insights

Key Benefits

Scientific Rigor

Based on established psychological theories and validated assessment instruments

Standardization

Consistent evaluation criteria for comparable results across models and time

Comprehensive Coverage

Evaluate multiple dimensions of AI cognition and behavior

Practical Application

Results directly applicable to model selection, deployment, and monitoring

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