human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "priority inheritance with backtracking for iterative multi agent path finding"):
  Abstract: The Multi-agent Path Finding (MAPF) problem consists of all agents having to move to their own destinations while avoiding collisions. In practical applications of the problem, such as for navigation in an automated warehouse, MAPF must be solved iteratively. We present a novel approach for iterative MAPF, that we call Priority Inheritance with Backtracking (PIBT). In our method, a unique priority is assigned to each agent every timestep, so that movements are prioritized. Priority inheritance aims to deal effectively with priority inversion in path adjustment in a small time window. When a low-priority agent X impedes the movement of a higher-priority agent Y, agent X inherits the higher-priority of agent Y. Priority inheritance can be applied iteratively and the backtracking protocol prevents the presence of a stuck agent. We proved that, regardless of the number of agents, all agents are guaranteed to reach their own destinations within a finite time after the destinations are given, as long as the environment is a biconnected graph. Our implementation of PIBT can be fully decentralized in the sense that it has no single point of control and does not rely on global communication (all communication is local within 2-hops). Experimental results over various domains demonstrate that the practicality of the proposed algorithm which is shown to produce sophisticated coordination.

Includes members:
  Member "searching with consistent prioritization for multi agent path finding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "idle time optimization for target assignment and path finding in sortation centers")
  Member "lifelong multi agent path finding for online pickup and delivery tasks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient multi agent motion planning in continuous workspaces using medial axis based swap graphs")
  Member "mapp a scalable multi agent path planning algorithm with tractability and completeness guarantees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ddm fast near optimal multi robot path planning using diversified path and optimal sub problem solution database heuristics")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.MA(Multiagent Systems)