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: "any angle pathfinding for multiple agents based on sipp algorithm"
  Abstract: The problem of finding conflict-free trajectories for multiple agents of identical circular shape, operating in shared 2D workspace, is addressed in the paper and decoupled, e.g., prioritized, approach is used to solve this problem. Agents' workspace is tessellated into the square grid on which any-angle moves are allowed, e.g. each agent can move into an arbitrary direction as long as this move follows the straight line segment whose endpoints are tied to the distinct grid elements. A novel any-angle planner based on Safe Interval Path Planning (SIPP) algorithm is proposed to find trajectories for an agent moving amidst dynamic obstacles (other agents) on a grid. This algorithm is then used as part of a prioritized multi-agent planner AA-SIPP(m). On the theoretical, side we show that AA-SIPP(m) is complete under well-defined conditions. On the experimental side, in simulation tests with up to 200 agents involved, we show that our planner finds much better solutions in terms of cost (up to 20%) compared to the planners relying on cardinal moves only.

Connected through hyperedge HE-1 (induced by source paper "multi agent pathfinding definitions variants and benchmarks"):
  with members:
    - "come together multi agent geometric consensus gathering rendezvous clustering aggregation"
    - "lifelong path planning with kinematic constraints for multi agent pickup and delivery"
    - "multi agent path finding with deadlines"
    - "experimenting with robotic intra logistics domains"
    - "lifelong multi agent path finding for online pickup and delivery tasks"
    - "ai buzzwords explained multi agent path finding mapf"
    - "optimal target assignment and path finding for teams of agents"
    - "multi agent path finding with delay probabilities"

Connected through hyperedge HE-2 (induced by source paper "prioritized multi agent path finding for differential drive robots"):
  with members:
    - "searching with consistent prioritization for multi agent path finding"
    - "lifelong path planning with kinematic constraints for multi agent pickup and delivery"
    - "two techniques that enhance the performance of multi robot prioritized path planning"
    - "ai buzzwords explained multi agent path finding mapf"

Connected through hyperedge HE-3 (induced by source paper "path finding for the coalition of co operative agents acting in the environment with destructible obstacles"):
  with members:
    - "behavior and path planning for the coalition of cognitive robots in smart relocation tasks"
    - "applying mapp algorithm for cooperative path finding in urban environments"
    - "psychologically inspired planning method for smart relocation task"
    - "mapp a scalable multi agent path planning algorithm with tractability and completeness guarantees"
    - "theta any angle path planning on grids"

Connected through hyperedge HE-4 (induced by source paper "two techniques that enhance the performance of multi robot prioritized path planning"):
  with members:
    - "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.AI(Artificial Intelligence)