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: "guiding designs of self organizing swarms interactive and automated approaches"
  Abstract: Engineering design has traditionally been a top-down process in which a designer shapes, arranges and combines various components in a specific, precise, hierarchical manner, to create an artifact that will behave deterministically in an intended way (Minai et al. 2006; Pahl et al. 2007). However, this process does not apply to complex systems that show self-organization, adaptation and emergence. Complex systems consist of a massive amount of simpler components that are coupled locally and loosely, whose behaviors at macroscopic scales emerge partially stochastically in a bottom-up way. Such emergent properties of complex systems are often very robust and dynamically adaptive to the surrounding environment, indicating that complex systems bear great potential for engineering applications (Ottino 2004).

Connected through hyperedge HE-1 (induced by source paper "robocup 2d soccer simulation league evaluation challenges"):
  with members:
    - "evaluating morphological computation in muscle and dc motor driven models of hopping movements"
    - "deep learning in neural networks"
    - "simulation leagues analysis of competition formats"
    - "representation learning a review and new perspectives"

Connected through hyperedge HE-2 (induced by source paper "quantifying emergent behavior of autonomous robots"):
  with members:
    - "novel plasticity rule can explain the development of sensorimotor intelligence"
    - "empowerment an introduction"
    - "information driven self organization of complex robotic behaviors"
    - "higher coordination with less control a result of information maximization in the sensorimotor loop"

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.NE(Neural and Evolutionary Computing)