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: "plurality voting under uncertainty"
  Abstract: Understanding the nature of strategic voting is the holy grail of social choice theory, where game-theory, social science and recently computational approaches are all applied in order to model the incentives and behavior of voters. #R##N#In a recent paper, Meir et al.[EC'14] made another step in this direction, by suggesting a behavioral game-theoretic model for voters under uncertainty. For a specific variation of best-response heuristics, they proved initial existence and convergence results in the Plurality voting system. #R##N#In this paper, we extend the model in multiple directions, considering voters with different uncertainty levels, simultaneous strategic decisions, and a more permissive notion of best-response. We prove that a voting equilibrium exists even in the most general case. Further, any society voting in an iterative setting is guaranteed to converge. #R##N#We also analyze an alternative behavior where voters try to minimize their worst-case regret. We show that the two behaviors coincide in the simple setting of Meir et al., but not in the general case.

Connected through hyperedge HE-1 (induced by source paper "strengthening gossip protocols using protocol dependent knowledge"):
  with members:
    - "dynamic gossip"
    - "a logic of blockchain updates"
    - "common knowledge in a logic of gossips"
    - "epistemic protocols for distributed gossiping"
    - "discovery through gossip"
    - "simple fast and deterministic gossip and rumor spreading"
    - "dominating manipulations in voting with partial information"

Connected through hyperedge HE-2 (induced by source paper "between discord and deadlock consensus under a deadline"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "equilibria of plurality voting lazy and truth biased voters"
    - "determining possible and necessary winners under common voting rules given partial orders"

Connected through hyperedge HE-3 (induced by source paper "modeling peoples voting behavior with poll information"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "api design for machine learning software experiences from the scikit learn project"

Connected through hyperedge HE-4 (induced by source paper "the convergence of iterative delegations in liquid democracy"):
  with members:
    - "on rational delegations in liquid democracy"
    - "binary voting with delegable proxy an analysis of liquid democracy"
    - "proxy voting for better outcomes"
    - "new results on equilibria in strategic candidacy"
    - "on the computation of fully proportional representation"

Connected through hyperedge HE-5 (induced by source paper "how does uncertainty about other voters determine a strategic vote"):
  with members:
    - "strategic voting and the logic of knowledge"
    - "dominating manipulations in voting with partial information"
    - "reasoning about social choice functions"

Connected through hyperedge HE-6 (induced by source paper "predicting strategic voting behavior with poll information"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "dominating manipulations in voting with partial information"

Connected through hyperedge HE-7 (induced by source paper "acyclic games and iterative voting"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "dominating manipulations in voting with partial information"
    - "on the structure of weakly acyclic games"

Connected through hyperedge HE-8 (induced by source paper "congestion games with distance based strict uncertainty"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "regret minimizing equilibria and mechanisms for games with strict type uncertainty"

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.MA(Multiagent Systems)