Sheaf-Theoretic Planning for Resilient Multi-Agent Systems
A new paper on arXiv (2605.01879) introduces Sheaf-Theoretic Planning (STP), a mathematical framework grounded in topos theory and sheaf theory, to address multi-agent coordination under uncertainty. Traditional multi-agent systems rely on monolithic logical models like event calculus and situation calculus, which assume a closed world and fail when agents face unobserved interventions, plan interruptions, or divergent belief-reality states. STP overcomes these limitations by using sheaf structures to represent distributed knowledge and enable resilient planning in stochastic and adversarial environments. The approach offers a categorical foundation for autonomous systems that must operate in the physical world where perfect information is unavailable.
Key facts
- Paper published on arXiv with ID 2605.01879
- Introduces Sheaf-Theoretic Planning (STP)
- STP is grounded in topos theory and sheaf theory
- Traditional MAS frameworks use event calculus and situation calculus
- Classical systems assume a closed world
- STP addresses unobserved agent interventions, plan interruptions, and divergent belief-reality states
- Framework targets multi-agent coordination under uncertainty
- Aims to enable resilient planning in stochastic and adversarial environments
Entities
Institutions
- arXiv