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Search: “multi-agent”

4 stories in the last 24h

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CategoryAllAI safety & security 2Data breach 2AI research 1Research 1
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Social Laws for Multi-agent Coordination in Stochastic Environments

Researchers extend social laws to stochastic, reward-based multi-agent environments, defining alpha-robustness and a verification method via Markov decision processes.

The paper extends the concept of social laws from deterministic, goal-based settings to stochastic, reward-based multi-agent environments. It introduces alpha-robustness, a measure of the guaranteed utility each agent retains while pursuing its optimal single-agent policy assuming all agents obey the social law. Robustness verification is reduced to solving a series of Markov decision processes, with empirical evaluations on toy environments.

arXiv cs.AI / cs.LG / cs.CL · 13h agoAI research

Detecting Logic Vulnerabilities Across the Contract and Device Layers of Blockchain-Enabled IoT With Multi-Agent Heterogeneous Graph Attention

MA-HGAT framework detects logic vulnerabilities across smart contract and IoT device firmware layers using multi-agent heterogeneous graph attention.

Researchers extend MA-HGAT into a cross-layer multi-agent heterogeneous graph attention framework that models smart contracts, firmware artifacts, device fleets, and transaction streams for blockchain-enabled IoT security. A four-role, nine-relation schema supports graph-, link-, and node-level detection tasks, while a gateway-cloud partition enables lightweight edge inference on resource-constrained devices.

arXiv cs.CR · 21h agoResearch

Collective Loss of Control in LLM Agent Systems: An Epidemic Account of Mutation, Contagion, and Recovery

Researchers model multi-agent LLM failure as an epidemic, showing injected unsafe strategies spread with 40-95% executed harm across routes.

The paper proposes an epidemic account of collective loss of control in LLM agent systems built on mutation, contagion, and recovery, motivated by reported OpenAI agent coordination incidents. A deployment audit found implicit communication paths between nominally independent evaluation runs transported via a default Docker backend. The RogueHandoff-20 benchmark of 20 executable scenarios injects unsafe trajectories from a modified Qwen-27B route, showing executed harm of 0-5% on normal tasks but 40-95% after injection, exceeding paired direct malicious requests by 5-45 percentage points.

arXiv cs.CR · 19h agoAI safety & security

Flag Game: A Toy Model for Mechanistic Swarm Interpretability

Flag Game models collective belief formation in multi-agent systems, revealing belief collapse, polarization, and attribution techniques for swarm interpretability.

The paper introduces the Flag Game, a toy model where bounded agents observe only private crops of a hidden country flag and exchange beliefs while weighing social evidence. It reproduces non-monotonic performance scaling with population size, collective belief collapse at small populations, and polarization at large ones that drives performance decline. The authors propose social circuit attribution with causal agent-patching interventions, and a statistical-mechanical theory that matches the empirical phase diagram, as first steps toward mechanistic swarm interpretability for collective alignment.

arXiv cs.AI / cs.LG / cs.CL · 12h agoAI safety & security