PILLAR 1 · 2 PAPERS · NO SEARCH RUN YET
Multi-agent systems & enterprise scale
How hazards arise from the interaction of many agents, and how multi-agent state can be represented tractably enough to evaluate safety over it.
Search string (see Methods for the per-database form)
("multi-agent" OR "multiagent" OR "Dec-POMDP" OR "decentralized POMDP" OR "agent swarm" OR "fleet") AND ("safety" OR "hazard" OR "collision" OR "emergent" OR "cascading failure" OR "catastroph*") AND ("warehouse" OR "logistics" OR "industrial" OR "enterprise" OR "robot*" OR "AMR" OR "tool call*" OR "LLM agent*")Included papers
| Paper | Year | Venue | Contribution | Methods | Relevance | Tags |
|---|---|---|---|---|---|---|
| A concise introduction to decentralized POMDPs Oliehoek F.A.; Amato C. |
2016 | Springer | Standard treatment of Dec-POMDPs and factored approximations that motivate local sub-graph evaluation. | POMDP factored-models | RQ1 RQ4 seed | |
| The complexity of decentralized control of Markov decision processes Bernstein D.S.; Givan R.; Immerman N.; Zilberstein S. |
2002 | Mathematics of Operations Research | Finite-horizon Dec-POMDPs are NEXP-complete; motivates local factored approximations. | POMDP complexity-theory | RQ1 RQ4 seed |
GAPS THIS PILLAR LEAVES OPEN
- No included paper in this pillar addresses non-generative inference
- No included paper in this pillar addresses latency / jitter aware
- No included paper in this pillar addresses time-to-irreversibility
- No included paper in this pillar addresses edge deployment
- No included paper in this pillar addresses human handoff
- No included paper in this pillar addresses cross-domain evaluation