Scientific Liquidity Agents: An Agent-Based Model of Knowledge Arbitrage in Scientific Communities
- Published
- Source
- arXiv
- Paper number
- 1435
- Field
- Research Agents
- arXiv ID
- 2611.02539
Key points
- The authors introduce SLA, an agent-based model that places domain specialists and epistemic arbitrageurs in a shared environment.
- Researcher decisions use a belief-desire-intention architecture, while a prerequisite-based problem graph, a dynamic interaction network and a publication registry form the shared state.
- Simulations with 10 and 18 agents registered 68 and 274 papers respectively.
- In the smaller run, arbitrageurs took part in 16 of the 26 contact pairs that join the community into one connected component, while topical similarity alone splits it into seven.
- Paper production is abundant, but no recorded replication succeeds, which places the bottleneck in verification rather than production.
- Solved-problem sets correspond to the prerequisite reachability of the disciplines represented in each community.
Paper links
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