A Multi-Agent Rhizomatic Pipeline for Non-Linear Literature Analysis

1. 1Implement a multi-agent system with agents interacting to identify lateral connections in literature
2. 2Utilize Deleuzian process-relational ontology to inform the pipeline's architecture
3. 3Apply non-linear screening and classification methods to uncover emergent patterns
4. 4Evaluate the pipeline's performance in capturing complex research landscapes

Researchers and data scientists on a team can benefit from this approach to uncover complex patterns in literature, while software engineers can implement the pipeline

💡 Non-linear literature analysis can reveal emergent patterns and lateral connections suppressed by traditional arborescent logics

📚 Uncover complex patterns in literature with a multi-agent rhizomatic pipeline! 💡