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: "octopus a framework for cost quality time optimization in crowdsourcing"
  Abstract: Managing micro-tasks on crowdsourcing marketplaces involves balancing conflicting objectives -- the quality of work, total cost incurred and time to completion. Previous agents have focused on cost-quality, or cost-time tradeoffs, limiting their real-world applicability. As a step towards this goal we present Octopus, the first AI agent that jointly manages all three objectives in tandem. Octopus is based on a computationally tractable, multi-agent formulation consisting of three components; one that sets the price per ballot to adjust the rate of completion of tasks, another that optimizes each task for quality and a third that performs task selection. We demonstrate that Octopus outperforms existing state-of-the-art approaches in simulation and experiments with real data, demonstrating its superior performance. We also deploy Octopus on Amazon Mechanical Turk to establish its ability to manage tasks in a real-world, dynamic setting.

Connected through hyperedge HE-1 (induced by source paper "frog a fast and reliable crowdsourcing framework technical report"):
  with members:
    - "clamshell speeding up crowds for low latency data labeling"
    - "finish them pricing algorithms for human computation"
    - "crowdsourcing a word emotion association lexicon"
    - "cdas a crowdsourcing data analytics system"
    - "crowder crowdsourcing entity resolution"
    - "whom to ask jury selection for decision making tasks on micro blog services"
    - "analytic methods for optimizing realtime crowdsourcing"
    - "budget optimal task allocation for reliable crowdsourcing systems"

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)