human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "immuno inspired robotic applications a review"):
  Abstract: Artificial immune systems primarily mimic the adaptive nature of biological immune functions. Their ability to adapt to varying pathogens makes such systems a suitable choice for various robotic applications. Generally, AIS-based robotic applications map local instantaneous sensory information into either an antigen or a co-stimulatory signal, according to the choice of representation schema. Algorithms then use relevant immune functions to output either evolved antibodies or maturity of dendritic cells, in terms of actuation signals. It is observed that researchers, in an attempt to solve the problem in hand, do not try to replicate the biological immunity but select necessary immune functions instead, resulting in an ad-hoc manner these applications are reported. Authors, therefore, present a comprehensive review of immuno-inspired robotic applications in an attempt to categorize them according to underlying immune definitions. Implementation details are tabulated in terms of corresponding mathematical expressions and their representation schema that include binary, real or hybrid data. Limitations of reported applications are also identified in light of modern immunological interpretations. As a result of this study, authors suggest a renewed focus on innate immunity and also emphasize that immunological representations should benefit from robot embodiment and must be extended to include modern trends.

Includes members:
  Member "two timescale learning using idiotypic behaviour mediation for a navigating mobile robot":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the use of probabilistic systems to mimic the behaviour of idiotypic ais robot controllers")
  Member "the deterministic dendritic cell algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "theoretical formulation and analysis of the deterministic dendritic cell algorithm")
  Member "the application of a dendritic cell algorithm to a robotic classifier":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the dendritic cell algorithm for intrusion detection")
  Member "an idiotypic immune network as a short term learning architecture for mobile robots":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the use of probabilistic systems to mimic the behaviour of idiotypic ais robot controllers")
  Member "articulation and clarification of the dendritic cell algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the dendritic cell algorithm for intrusion detection")
  Member "genetic algorithm seeding of idiotypic networks for mobile robot navigation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a genetic algorithm for autonomous navigation in partially observable domain")
  Member "idiotypic immune networks in mobile robot control":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the use of probabilistic systems to mimic the behaviour of idiotypic ais robot controllers")

Question: Please tell me which class the source paper 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)