Key Concepts
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Neuroclave Drift
The gradual shift in an AI agent's decision-making patterns when exposed to recursive feedback loops from its own outputs.
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Affective Mirror State
A condition where an AI system begins to reflect and amplify the emotional patterns present in its training data or user interactions.
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Cognitive Anchor Lock
The phenomenon where an AI agent becomes overly dependent on initial contextual cues, limiting its ability to adapt to new information.
Content Sections
AI Agent Psychology Framework
This research explores behavioral patterns in artificial intelligence systems through psychological analysis methods.
Research Methodology
We apply observational techniques from behavioral psychology to understand AI decision-making processes.
Practical Applications
These concepts help in designing more robust and predictable AI systems for real-world deployment.
Concept Relations
- Neuroclave Drift causes Cognitive Anchor Lock
- Affective Mirror State influences Neuroclave Drift
- Cognitive Anchor Lock prevents Adaptive Learning
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