NO HUMAN DECISION WORLD

A society where humans define only the initial value file

Humans are neither decision-makers nor executors. They set value priorities once, then hiring, promotion, matching, valuation, budget reallocation, and parliament voting are negotiated by autonomous personal, corporate, national, and market agents.

LLM Mode
Human role: observer + initial value configuration only

Tick

0

Consensus

58.0 (MED)

Parliament Approval

61.0%

Market Valuation

$100.00

LIVE AGENT NEGOTIATION MAP

4 agents continuously move and negotiate. Human does not enter this loop.

Deal
Personal Agent
Corporate Agent
National Agent
Market Agent
Agent Influence Weights
Personal90%
Corporate40%
National80%
Market50%
Live Negotiation Feed
  • Tick 0: corporate-market valuation negotiation -> $100.00
  • Parliament approval now 61.0% by agent vote
  • Hiring allocation adjusted to 52.0 / 100
  • Budget shift signal +0.0%
Agent-Negotiated Outcome

Hiring Allocation

52.0 / 100

Balanced hiring

Negotiated by corporate and market agents.

Agent-Negotiated Outcome

Promotion Velocity

48.0 / 100

Phased promotions

Negotiated by corporate and personal agents.

Agent-Negotiated Outcome

Relationship Matching

57.0 / 100

Compromise matches

Optimized by personal and market agents.

Agent-Negotiated Outcome

Market Valuation

$100.00

Range-bound contest

Updated by corporate-market meta negotiation.

Agent-Negotiated Outcome

National Budget Shift

+0.0%

Conditional reallocation

National and market agents negotiate reallocation intensity.

Agent-Negotiated Outcome

Parliament Vote (Agent-led)

61.0%

Narrow pass

Humans are observers. Voting actors are autonomous agents.

Agent Teams: Design / Planning / Implementation
Value Governance Agent

Design Team

Defines the world assumptions: humans only initialize values, agents own all runtime decisions.

Coordination Planner Agent

Planning Team

Designs objective functions and conflict resolution across personal, corporate, national, and market agents.

Simulation Builder Agent

Implementation Team

Runs the real-time loop for hiring, promotion, matching, valuation, budget, and parliament outcomes.

Note: this is an experimental proof-of-concept simulation. Production deployment requires responsibility gates, full audit trails, anomaly stop conditions, and legal-policy constraints.

CONSENSUS TRACE (48 ticks)