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: "multi robot organisms state of the art"
  Abstract: This paper represents the state of the art develop- ment on the field of artificial multi-robot organisms. It briefly considers mechatronic development, sensor and computational equipment, software framework and introduces one of the Grand Challenges for swarm and reconfigurable robotics. I. I NTRODUCTION Appearance of multicellular structures is related to one of the greatest moments in the history of life (1). The rise of multicellular from unicellular is a huge evolutionary step, however we do not exactly know how multicellular organisms appear and which mechanisms take part in this phenomenon. We know multicellular organisms are self- adaptive, self-regulative and self-developing, however we do not know its evolutionary origin and developmental organization. The great vision, which consolidates many interdisciplinary researchers, is a vision of self-adaptive, self- regulative and self-developing robots that reflect multicellu- larity in nature - a vision of artificial robot organisms (2). Like multicellular beings, these artificial organisms consist of many small cell-modules, which can act as one structure and can exchange information and energy within this struc- ture. Moreover, these structures can repair themselves and undergo evolutionary development from simple to complex organisms (3). Technological exploitation of multicellularity provides dif- ferent practical advantages not only for advanced robotics, but also for autonomous and adaptive systems in general. Three most important advantages are extended reliability, advanced adaptivity and self-evolving properties. Reliability in general context is related to the ability of a system to work durably in different hostile or unexpected circumstances. Artificial organisms can self-disassemble, the destroyed cell- modules should be removed, and then an organism self- assembles again. Capabilities of basic robot modules for autonomous self-assembling and for dynamic change of functionality are key points of the extended reliability. Adaptivity is another key feature of advanced autonomous

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.RO(Robotics)