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: "managing autonomous mobility on demand systems for better passenger experience"
  Abstract: Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future. While much research has been conducted on both autonomous vehicles and mobility on demand systems, to the best of our knowledge, this is the first work that shows how to manage autonomous mobility on demand systems for better passenger experience. We introduce the Expand and Target algorithm which can be easily integrated with three different scheduling strategies for dispatching autonomous vehicles. We implement an agent-based simulation platform and empirically evaluate the proposed approaches with the New York City taxi data. Experimental results demonstrate that the algorithm significantly improve passengers’ experience by reducing the average passenger waiting time by up to \(29.82\%\) and increasing the trip success rate by up to \(7.65\%\).

Connected through hyperedge HE-1 (induced by source paper "emerging privacy issues and solutions in cyber enabled sharing services from multiple perspectives"):
  with members:
    - "regulating highly automated robot ecologies insights from three user studies"
    - "information design in crowdfunding under thresholding policies"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"
    - "end to end privacy for open big data markets"
    - "the hidden cost of accommodating crowdfunder privacy preferences a randomized field experiment"
    - "reliable crowdsourcing for multi class labeling using coding theory"
    - "a clustering based location privacy protection scheme for pervasive computing"

Connected through hyperedge HE-2 (induced by source paper "emerging privacy issues and solutions in cyber enabled sharing services from multiple perspectives"):
  with members:
    - "regulating highly automated robot ecologies insights from three user studies"
    - "information design in crowdfunding under thresholding policies"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"
    - "end to end privacy for open big data markets"
    - "the hidden cost of accommodating crowdfunder privacy preferences a randomized field experiment"
    - "reliable crowdsourcing for multi class labeling using coding theory"
    - "a clustering based location privacy protection scheme for pervasive computing"

Connected through hyperedge HE-3 (induced by source paper "toward understanding the impact of user participation in autonomous ridesharing systems"):
  with members:
    - "regulating highly automated robot ecologies insights from three user studies"
    - "an online mechanism for ridesharing in autonomous mobility on demand systems"

Connected through hyperedge HE-4 (induced by source paper "an online mechanism for ridesharing in autonomous mobility on demand systems"):
  with members:
    - "the social dilemma of autonomous vehicles"
    - "incentive design for ridesharing with uncertainty"
    - "an anytime algorithm for optimal coalition structure generation"
    - "anytime heuristic search"

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)