Post
114
✅ New Article: *Multi-Agent Goal Negotiation and the Economy of Meaning*
Title:
🤝 Multi-Agent Goal Negotiation and the Economy of Meaning
🔗 https://huggingface.co/blog/kanaria007/multi-agent-goal-negotiation
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Summary:
Single-agent “alignment” is the easy case. Real systems are *multi-owner* by default: cities, platforms, institutions, regulators, and users all carry distinct goal vectors—and the same action helps some while harming others.
This article sketches a *non-normative* extension: multi-agent *goal trade proposals* (structured, auditable “plea bargains” in goal-space) plus *semantic pricing* (treating information itself as a negotiable resource), with *PLB-M* as a nearline layer that learns stable cooperation patterns over time.
> Coordination isn’t vibes.
> It’s *contracts over goal deltas*, under governance.
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Why It Matters:
• Turns “stakeholder conflict” into *explicit, bounded deals* instead of hidden politics
• Provides an accounting surface for *fairness, compensation, and reciprocity*
• Makes “information sharing” measurable: *how much does a semantic unit improve goals?*
• Keeps the whole negotiation layer *auditable and rollbackable*, avoiding “dark markets”
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What’s Inside:
• Why multi-agent worlds force negotiation (cities, clouds, cross-org networks)
• *GCS as negotiable deltas*: per-agent impact vectors for joint actions
• A concrete schema: *Goal Trade Proposal (GTP)* as a first-class object
• “Semantic value” and *pricing meaning* (not money—accounting under policy)
• *PLB-M*: mining deal patterns + semantic flows → proposing safer templates
• Threat model: manipulation/collusion/DoS + governance guardrails
• Practical notes on clearing, complexity, stability (damping, circuit breakers)
---
📖 Structured Intelligence Engineering Series
Title:
🤝 Multi-Agent Goal Negotiation and the Economy of Meaning
🔗 https://huggingface.co/blog/kanaria007/multi-agent-goal-negotiation
---
Summary:
Single-agent “alignment” is the easy case. Real systems are *multi-owner* by default: cities, platforms, institutions, regulators, and users all carry distinct goal vectors—and the same action helps some while harming others.
This article sketches a *non-normative* extension: multi-agent *goal trade proposals* (structured, auditable “plea bargains” in goal-space) plus *semantic pricing* (treating information itself as a negotiable resource), with *PLB-M* as a nearline layer that learns stable cooperation patterns over time.
> Coordination isn’t vibes.
> It’s *contracts over goal deltas*, under governance.
---
Why It Matters:
• Turns “stakeholder conflict” into *explicit, bounded deals* instead of hidden politics
• Provides an accounting surface for *fairness, compensation, and reciprocity*
• Makes “information sharing” measurable: *how much does a semantic unit improve goals?*
• Keeps the whole negotiation layer *auditable and rollbackable*, avoiding “dark markets”
---
What’s Inside:
• Why multi-agent worlds force negotiation (cities, clouds, cross-org networks)
• *GCS as negotiable deltas*: per-agent impact vectors for joint actions
• A concrete schema: *Goal Trade Proposal (GTP)* as a first-class object
• “Semantic value” and *pricing meaning* (not money—accounting under policy)
• *PLB-M*: mining deal patterns + semantic flows → proposing safer templates
• Threat model: manipulation/collusion/DoS + governance guardrails
• Practical notes on clearing, complexity, stability (damping, circuit breakers)
---
📖 Structured Intelligence Engineering Series