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: "dealing with logical omniscience expressiveness and pragmatics"
  Abstract: We examine four approaches for dealing with the logical omniscience problem and their potential applicability: the syntactic approach, awareness, algorithmic knowledge, and impossible possible worlds. Although in some settings these approaches are equi-expressive and can capture all epistemic states, in other settings of interest (especially with probability in the picture), we show that they are not equi-expressive. We then consider the pragmatics of dealing with logical omniscience-- how to choose an approach and construct an appropriate model.

Connected through hyperedge HE-1 (induced by source paper "on learning to prove"):
  with members:
    - "learning a sat solver from single bit supervision"
    - "gamepad a learning environment for theorem proving"
    - "reinforcement learning of theorem proving"
    - "mastering chess and shogi by self play with a general reinforcement learning algorithm"
    - "holstep a machine learning dataset for higher order logic theorem proving"
    - "tactictoe learning to reason with hol4 tactics"
    - "deepmath deep sequence models for premise selection"
    - "machine learning of coq proof guidance first experiments"

Connected through hyperedge HE-2 (induced by source paper "plausibility and probability in deductive reasoning"):
  with members:
    - "a nearly tight sum of squares lower bound for the planted clique problem"
    - "optimal polynomial time estimators a bayesian notion of approximation algorithm"
    - "toward idealized decision theory"
    - "algorithmic rationality game theory with costly computation"
    - "bounding rationality by discounting time"
    - "average case complexity"

Connected through hyperedge HE-3 (induced by source paper "a logic of knowing why"):
  with members:
    - "beyond knowing that a new generation of epistemic logics"
    - "bundled fragments of first order modal logic un decidability"
    - "knowing values and public inspection"
    - "a new modal framework for epistemic logic"
    - "a logic of knowing how"
    - "justifications for common knowledge"

Connected through hyperedge HE-4 (induced by source paper "standard state space models of unawareness extended abstract"):
  with members:
    - "preference based unawareness"
    - "reasoning about knowledge of unawareness revisited"
    - "reasoning about knowledge of unawareness"

Connected through hyperedge HE-5 (induced by source paper "privacy by design from technologies to architectures position paper"):
  with members:
    - "privacy design strategies"
    - "plug in privacy for smart metering billing"
    - "deductive algorithmic knowledge"

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)