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: "mechanism design with uncertain inputs to err is human to forgive divine"
  Abstract: We consider a task of scheduling with a common deadline on a single machine. Every player reports to a scheduler the length of his job and the scheduler needs to finish as many jobs as possible by the deadline. For this simple problem, there is a truthful mechanism that achieves maximum welfare in dominant strategies. The new aspect of our work is that in our setting players are uncertain about their own job lengths, and hence are incapable of providing truthful reports (in the strict sense of the word). For a probabilistic model for uncertainty our main results are as follows. #R##N#1) Even with relatively little uncertainty, no mechanism can guarantee a constant fraction of the maximum welfare. #R##N#2) To remedy this situation, we introduce a new measure of economic efficiency, based on a notion of a {\em fair share} of a player, and design mechanisms that are $\Omega(1)$-fair. In addition to its intrinsic appeal, our notion of fairness implies good approximation of maximum welfare in several cases of interest. #R##N#3) In our mechanisms the machine is sometimes left idle even though there are jobs that want to use it. We show that this unfavorable aspect is unavoidable, unless one gives up other favorable aspects (e.g., give up $\Omega(1)$-fairness). #R##N#We also consider a qualitative approach to uncertainty as an alternative to the probabilistic quantitative model. In the qualitative approach we break away from solution concepts such as dominant strategies (they are no longer well defined), and instead suggest an axiomatic approach, which amounts to listing desirable properties for mechanisms. We provide a mechanism that satisfies these properties.

Connected through hyperedge HE-1 (induced by source paper "hotelling games with random tolerance intervals"):
  with members:
    - "from hotelling to load balancing approximation and the principle of minimum differentiation"
    - "fault tolerant hotelling games"
    - "hotelling games with multiple line faults"
    - "political discourse on social media echo chambers gatekeepers and the price of bipartisanship"
    - "shapley facility location games"
    - "hotelling games on networks existence and efficiency of equilibria"
    - "hotelling downs model with limited attraction"
    - "robust fault tolerant uncapacitated facility location"

Connected through hyperedge HE-2 (induced by source paper "hotelling games with multiple line faults"):
  with members:
    - "fault tolerant hotelling games"
    - "hotelling games on networks existence and efficiency of equilibria"
    - "robust fault tolerant uncapacitated facility location"

Connected through hyperedge HE-3 (induced by source paper "mechanism design for locating a facility under partial information"):
  with members:
    - "truthful facility location with additive errors"
    - "knightian analysis of the vickrey mechanism"

Connected through hyperedge HE-4 (induced by source paper "efficient task collaboration with execution uncertainty"):
  with members:
    - "trust based mechanisms for robust and efficient task allocation in the presence of execution uncertainty"
    - "computationally feasible vcg mechanisms"

Connected through hyperedge HE-5 (induced by source paper "incentive design for ridesharing with uncertainty"):
  with members:
    - "trust based mechanisms for robust and efficient task allocation in the presence of execution uncertainty"

Connected through hyperedge HE-6 (induced by source paper "fairness through awareness"):
  with members:
    - "calibrating data to sensitivity in private data analysis"
    - "on the geometry of differential privacy"

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.GT(Computer Science and Game Theory)