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All notable changes to this project will be documented in this file.
- Survey Materials comprehensive documentation
- FAD-Plus Scale implementation
- AI Opinion Survey framework
- Big Five Inventory integration
- Cognitive Reflection Test setup
- Need for Cognition Scale
- Actively Open-minded Thinking Scale
- Scoring scripts for all personality measures
- Data validation protocols
- Quality control procedures
- Automated scoring pipelines
- NASA-TLX implementation
- Workload assessment tools
- Analysis frameworks
- Documentation structure
- Multi-platform deployment documentation
- OpenRouter integration
- SillyTavern setup guides
- Claude API implementation
- External repository integration
- Agentarium Framework setup
- Claude Cookbook integration
- Cline Development Tools
- Enhanced documentation structure across all directories
- Updated Python script requirements and dependencies
- Improved README files with standardized formatting
- Restructured experimental conditions documentation
- Markdown linting errors (MD040) across documentation
- Code block language specifications
- Documentation formatting standardization
- File naming conventions
- Directory structure inconsistencies
- Comprehensive survey implementation framework
- Advanced scoring system for personality measures
- Multi-platform deployment guidelines
- External repository documentation
- Enhanced API integration tools
- Updated directory structure for better organization
- Enhanced documentation standards
- Improved code quality guidelines
- Standardized README formats
- Documentation inconsistencies
- File structure organization
- Naming convention compliance
- Cross-reference accuracy
- Big Five Inventory (BFI)
- Cognitive Reflection Test (CRT)
- Need for Cognition Scale
- Actively Open-minded Thinking Scale
- Perceived AI authenticity measures
- Trust and credibility evaluation
- Emotional response assessment
- Deception detection confidence
A comprehensive framework for developing and deploying AI agents.
- Agent orchestration
- Behavior modeling
- Multi-agent communication
- Performance analytics
from agentarium import AgentFramework
# Initialize agent framework
agent = AgentFramework(
model="claude-2",
behavior_set="truth_analysis"
)
# Deploy agent
agent.deploy(
task_parameters={
"analysis_depth": "detailed",
"verification_required": True
}
)