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: "atlsc with partial observation"
  Abstract: Alternating-time temporal logic with strategy contexts (ATLsc) is a powerful formalism for expressing properties of multi-agent systems: it extends CTL with strategy quantifiers, offering a convenient way of expressing both collaboration and antagonism between several agents. Incomplete observation of the state space is a desirable feature in such a framework, but it quickly leads to undecidable verification problems. In this paper, we prove that uniform incomplete observation (where all players have the same observation) preserves decidability of the model-checking problem, even for very expressive logics such as ATLsc.

Connected through hyperedge HE-1 (induced by source paper "decidability results for atl with imperfect information and perfect recall"):
  with members:
    - "quantified ctl with imperfect information"
    - "hierarchical information patterns and distributed strategy synthesis"
    - "quantified ctl expressiveness and complexity"
    - "model checking atl under imperfect information and perfect recall semantics is undecidable"
    - "reasoning about strategies on the model checking problem"
    - "model checking an alternating time temporal logic with knowledge imperfect information perfect recall and communicating coalitions"

Connected through hyperedge HE-2 (induced by source paper "strategy logic with imperfect information"):
  with members:
    - "decidability results for atl with imperfect information and perfect recall"
    - "games on graphs with a public signal monitoring"
    - "the fixed initial credit problem for partial observation energy games is ack complete"
    - "hierarchical information and the synthesis of distributed strategies"
    - "hierarchical information patterns and distributed strategy synthesis"
    - "pure nash equilibria in concurrent deterministic games"
    - "games with a weak adversary"
    - "mcmas slk a model checker for the verification of strategy logic specifications"

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)