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: "distributed computing with adaptive heuristics"
  Abstract: We use ideas from distributed computing to study dynamic environments in which computational nodes, or decision makers, follow adaptive heuristics (Hart 2005), i.e., simple and unsophisticated rules of behavior, e.g., repeatedly "best replying" to others' actions, and minimizing "regret", that have been extensively studied in game theory and economics. We explore when convergence of such simple dynamics to an equilibrium is guaranteed in asynchronous computational environments, where nodes can act at any time. Our research agenda, distributed computing with adaptive heuristics, lies on the borderline of computer science (including distributed computing and learning) and game theory (including game dynamics and adaptive heuristics). We exhibit a general non-termination result for a broad class of heuristics with bounded recall---that is, simple rules of behavior that depend only on recent history of interaction between nodes. We consider implications of our result across a wide variety of interesting and timely applications: game theory, circuit design, social networks, routing and congestion control. We also study the computational and communication complexity of asynchronous dynamics and present some basic observations regarding the effects of asynchrony on no-regret dynamics. We believe that our work opens a new avenue for research in both distributed computing and game theory.

Connected through hyperedge HE-1 (induced by source paper "dynamics at the boundary of game theory and distributed computing"):
  with members:
    - "self stabilizing uncoupled dynamics"
    - "neighbor specific bgp more flexible routing policies while improving global stability"
    - "a computer scientist looks at game theory"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-2 (induced by source paper "plurality voting under uncertainty"):
  with members:
    - "a local dominance theory of voting equilibria"
    - "strategic voting and the logic of knowledge"
    - "regret minimizing equilibria and mechanisms for games with strict type uncertainty"
    - "dominating manipulations in voting with partial information"

Connected through hyperedge HE-3 (induced by source paper "self stabilizing uncoupled dynamics"):
  with members:
    - "computer science and game theory a brief survey"

Connected through hyperedge HE-4 (induced by source paper "asymetric pavlovian populations"):
  with members:
    - "playing with population protocols"
    - "adversarial scheduling in evolutionary game dynamics"
    - "the computational power of population protocols"

Connected through hyperedge HE-5 (induced by source paper "on the structure of weakly acyclic games"):
  with members:
    - "on the complexity of nash dynamics and sink equilibria"

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.DC(Distributed, Parallel, and Cluster Computing)