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: "common knowledge revisited"
  Abstract: We consider the common-knowledge paradox raised by Halpern and Moses: common knowledge is necessary for agreement and coordination, but common knowledge is unattainable in the real world because of temporal imprecision. We discuss two solutions to this paradox: (1) modeling the world with a coarser granularity, and (2) relaxing the requirements for coordination.

Connected through hyperedge HE-1 (induced by source paper "a first order logic for reasoning about knowledge and probability"):
  with members:
    - "reasoning about discrete and continuous noisy sensors and effectors in dynamical systems"
    - "a knowledge based analysis of the blockchain protocol"
    - "knowledge and common knowledge in a distributed environment"
    - "reasoning about common knowledge with infinitely many agents"
    - "reasoning about noisy sensors and effectors in the situation calculus"

Connected through hyperedge HE-2 (induced by source paper "causality and epistemic reasoning in byzantine multi agent systems"):
  with members:
    - "relating knowledge and coordinated action the knowledge of preconditions principle"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-3 (induced by source paper "relating knowledge and coordinated action the knowledge of preconditions principle"):
  with members:
    - "the shape of reactive coordination tasks"
    - "agent time epistemics and coordination"
    - "an optimal self stabilizing firing squad"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-4 (induced by source paper "worlds of events deduction with partial knowledge about causality"):
  with members:
    - "timely common knowledge"
    - "causality knowledge and coordination in distributed systems"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-5 (induced by source paper "the shape of reactive coordination tasks"):
  with members:
    - "agent time epistemics and coordination"
    - "causality knowledge and coordination in distributed systems"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-6 (induced by source paper "agent time epistemics and coordination"):
  with members:
    - "causality knowledge and coordination in distributed systems"
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-7 (induced by source paper "causality knowledge and coordination in distributed systems"):
  with members:
    - "knowledge and common knowledge in a distributed environment"

Connected through hyperedge HE-8 (induced by source paper "common knowledge in interaction structures"):
  with members:
    - "knowledge and common knowledge in a distributed environment"

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.LO(Logic in Computer Science)