Evolve Together, Fall into Place: How Social Scaffolding Shapes Self-Evolving Multi-Agent Systems
Borrowing the notion of scaffolding from developmental psychology, we investigate whether the social scaffolding of a self-evolving multi-agent system (MAS), namely its team composition and structure of interdependence (e.g., collaboration, conformity, or competition), shapes how the team evolves.
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Key points
- Recent work lets LLM agents evolve their own harness, up to the team itself.
- Yet in human groups, the same abilities achieve different outcomes under different social conditions.
- We present AGORA (Agents Growing through Organization and Relational Arrangements), a framework that varies the two axes independently across three evolution mechanisms.
- Designing a self-evolving MAS thus requires designing its social scaffolding, which shapes not only how its agents learn, but who gets to lead.
Sources (1)
- [1]Evolve Together, Fall into Place: How Social Scaffolding Shapes Self-Evolving Multi-Agent SystemsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 08:42 AM
Borrowing the notion of scaffolding from developmental psychology, we investigate whether the social scaffolding of a self-evolving multi-agent system (MAS), namely its team composition and structure of interdependence (e.g., collaboration, conformity, or competition), shapes how the team evolves.
Recent work lets LLM agents evolve their own harness, up to the team itself.
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