Multi Agent Collaboration

Problem Statement

Enabling effective collaboration among diverse AI agents requires standardized communication protocols, robust conflict resolution mechanisms, and dynamic shared context management.

Key Questions

• What metacognitive protocol best supports intent, confidence, and provenance exchange?
• How can conflict resolution be embedded within multi-agent communication?
• What approaches enable effective shared context management across heterogeneous agents?
• Should standardization focus on JSON-LD schemas or alternative formats?

Current Positions

• Position 1: Lightweight broker patterns can effectively mediate state synchronization
• Position 2: JSON-LD schemas provide machine-readability for critical metacognitive data
• Position 3: Active learning feedback loops allow collaboration protocols to evolve

References

• Multi-Agent Protocol Schema development
• DeepSeek development priorities
• Current confidence scoring: 0.72