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Decision fatigue modeling — ego depletion, willpower tracking, and quality degradation for brain-modeled agentic AI
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 Dependencies

Development

 Project Readme

lex-decision-fatigue

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

What It Does

Models the ego depletion effect: each decision the agent makes costs willpower. More complex decisions cost more. As willpower depletes, decision quality degrades — but never below a minimum floor. The agent can rest to recover.

Tracks decision history, quality trends, and recommends rest when willpower falls below threshold.

Usage

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

# Record a decision (deducts willpower proportional to complexity)
record = client.make_decision(
  label: 'select deployment strategy',
  decision_type: :analytical,
  complexity: 0.7
)
# => { label:, decision_type: :analytical, quality_at_time: 0.96, willpower_cost: 0.035, ... }

# Check current fatigue status
client.fatigue_status
# => { willpower: 0.85, quality_label: :good, should_rest: false, decision_rate: 0.5, ... }

# Check if rest is recommended
client.should_rest
# => { should_rest: false, willpower: 0.85 }

# Take a partial rest
client.rest(amount: 0.1)
# => { recovered: 0.08, willpower: 0.93, quality: 0.93, quality_label: :optimal }

# Full reset
client.full_rest
# => { recovered: 0.07, willpower: 1.0, quality: 1.0, quality_label: :optimal }

# Review recent decisions
client.recent_decisions(limit: 5)

# Quality trend over last 10 decisions
client.quality_trend(window: 10)
# => { trend: 0.84, label: :good, window: 10 }

Quality Labels

Willpower Range Label
0.85 – 1.0 :optimal
0.65 – 0.85 :good
0.45 – 0.65 :adequate
0.25 – 0.45 :compromised
0.0 – 0.25 :depleted

Development

bundle install
bundle exec rspec
bundle exec rubocop

License

MIT