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Cognitive fatigue modeling for brain-modeled agentic AI
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 Dependencies

Development

 Project Readme

lex-fatigue

Cognitive fatigue modeling for the LegionIO brain-modeled cognitive architecture.

What It Does

Models how sustained cognitive effort degrades processing capacity over time and how rest restores it. Tracks energy level as a continuous float (0–1), computes a performance degradation factor that scales with fatigue, detects burnout risk, and generates rest recommendations. Energy decays faster under high cognitive load and emotional arousal, and recovers during rest periods.

Usage

client = Legion::Extensions::Fatigue::Client.new

# Update per tick with the tick's load metrics
client.update_fatigue(tick_results: { cognitive_load: 0.7, emotional_arousal: 0.4 })
# => { energy: 0.96, fatigue_level: :fresh, performance_factor: 1.0,
#      recommendation: :continue, burnout_risk: false }

# Check current status
client.energy_status
# => { energy: 0.72, fatigue_level: :alert, performance_factor: 1.0, needs_rest: false }

# Enter recovery mode
client.enter_rest(mode: :full_rest)
# => { mode: :full_rest, energy_before: 0.35, energy_after: 0.5, recovered: 0.15 }

# Project future energy
client.energy_forecast(ticks: 50)
# => { forecast: [{ tick: 10, projected_energy: 0.62, fatigue_level: :alert }, ...] }

# Burnout risk check
client.burnout_risk_assessment
# => { at_risk: false, energy: 0.72, ticks_until_burnout: 180 }

# Session statistics
client.fatigue_stats

Fatigue Levels

Energy Level
0.8 – 1.0 :fresh
0.6 – 0.8 :alert
0.4 – 0.6 :tired
0.2 – 0.4 :exhausted
0.0 – 0.2 :burnout

Development

bundle install
bundle exec rspec
bundle exec rubocop

License

MIT