pith:25WBGP2Z
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
AgentPSO evolves multi-agent reasoning skills by treating each agent's natural-language description as a particle state that updates toward better performance.
arxiv:2605.08704 v2 · 2026-05-09 · cs.AI
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\pithnumber{25WBGP2ZMRSKIU3HLKSPKKPYWM}
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Record completeness
Claims
Experiments on mathematical and general reasoning benchmarks show that AgentPSO improves over static single-agent skills and test-time-only multi-agent reasoning baselines. The evolved skills further transfer across benchmarks and to another backbone model, suggesting that AgentPSO captures reusable reasoning procedures rather than merely optimizing benchmark-specific prompts.
That iterative semantic updates to natural-language skill descriptions (combining previous velocity, personal-best, global-best, and self-reflective directions) produce genuine improvements in reasoning capability rather than superficial prompt changes, and that these updates can be performed without access to model internals or gradients.
AgentPSO evolves reusable multi-agent reasoning skills via PSO-inspired natural-language updates, outperforming static agents and test-time multi-agent baselines on math and general reasoning tasks with cross-benchmark transfer.
Receipt and verification
| First computed | 2026-06-29T01:14:32.935834Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d76c133f596464a453675aa4f529f8b307378d45039b42e37489ef6aaf208545
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/25WBGP2ZMRSKIU3HLKSPKKPYWM \
| jq -c '.canonical_record' \
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# expect: d76c133f596464a453675aa4f529f8b307378d45039b42e37489ef6aaf208545
Canonical record JSON
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