Compositional Verification of Stigmergic Collective Systems
summary
Claim: compositional verification plus a lightweight static value analysis tames state-space explosion for stigmergic agent systems. Implementation encodes Labs→LNT processes, uses CADP compositional tools with root‑leaf reduction modulo simulation, and inserts a value‑analysis filter that limits variables (e.g., leader ∈ 0..n). Experiments (leader election, two‑phase commit, flocking) show sequential baseline wins for tiny instances but blows up at 6→7 agents, while compositional + value pruning scales far better in time and memory.
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chapters (8)
- 0:00Stigmergic collective systems
- 3:54Labs language and stigmergy
- 8:57Encoding Labs systems
- 14:37State space generation with root-leaf reduction
- 17:10Value analysis for state pruning
- 19:24Comparison with sequential verification
- 22:47Summary and future research
- 24:11Q&A
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