human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "ddm fast near optimal multi robot path planning using diversified path and optimal sub problem solution database heuristics"):
  with members:
    - "multi agent pathfinding definitions variants and benchmarks"
    - "automatic algorithm selection in multi agent pathfinding"
    - "coordinating the motion of labeled discs with optimality guarantees under extreme density"
    - "x anytime multiagent planning with bounded search"
    - "constant factor time optimal multi robot routing on high dimensional grids in mostly sub quadratic time"
    - "lifelong multi agent path finding for online pickup and delivery tasks"
    - "learning the problem optimum map analysis and application to global optimization in robotics"
    - "motion planning for unlabeled discs with optimality guarantees"

Connected through hyperedge HE-2 (induced by source paper "winpibt expanded prioritized algorithm for iterative multi agent path finding"):
  with members:
    - "searching with consistent prioritization for multi agent path finding"
    - "lifelong multi agent path finding for online pickup and delivery tasks"

Question: Please tell me which class the center node 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)