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: "behavior and path planning for the coalition of cognitive robots in smart relocation tasks"
  Abstract: In this paper we outline the approach of solving special type of navigation tasks for robotic systems, when a coalition of robots (agents) acts in the 2D environment, which can be modified by the actions, and share the same goal location. The latter is originally unreachable for some members of the coalition, but the common task still can be accomplished as the agents can assist each other (e.g., by modifying the environment). We call such tasks smart relocation tasks (as they cannot be solved by pure path planning methods) and study spatial and behavior interaction of robots while solving them. We use cognitive approach and introduce semiotic knowledge representation—sign world model which underlines behavioral planning methodology. Planning is viewed as a recursive search process in the hierarchical state-space induced by sings with path planning signs residing on the lowest level. Reaching this level triggers path planning which is accomplished by state-of-the-art grid-based planners focused on producing smooth paths (e.g., LIAN) and thus indirectly guarantying feasibility of that paths against agent’s dynamic constraints.

Connected through hyperedge HE-1 (induced by source paper "path finding for the coalition of co operative agents acting in the environment with destructible obstacles"):
  with members:
    - "applying mapp algorithm for cooperative path finding in urban environments"
    - "any angle pathfinding for multiple agents based on sipp algorithm"
    - "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-2 (induced by source paper "psychologically inspired planning method for smart relocation task"):
  with members:
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "the ff planning system fast plan generation through heuristic search"
    - "the symbol grounding problem"

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)