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: "a splitting set theorem for epistemic specifications"
  Abstract: Over the past decade a considerable amount of research has been done to expand logic programming languages to handle incomplete information. One such language is the language of epistemic specifications. As is usual with logic programming languages, the problem of answering queries is intractable in the general case. For extended disjunctive logic programs, an idea that has proven useful in simplifying the investigation of answer sets is the use of splitting sets. In this paper we will present an extended definition of splitting sets that will be applicable to epistemic specifications. Furthermore, an extension of the splitting set theorem will be presented. Also, a characterization of stratified epistemic specifications will be given in terms of splitting sets. This characterization leads us to an algorithmic method of computing world views of a subclass of epistemic logic programs.

Connected through hyperedge HE-1 (induced by source paper "founded auto epistemic equilibrium logic satisfies epistemic splitting"):
  with members:
    - "splitting epistemic logic programs"
    - "revisiting epistemic specifications"

Connected through hyperedge HE-2 (induced by source paper "splitting epistemic logic programs"):
  with members:
    - "a survey of advances in epistemic logic program solvers"
    - "revisiting epistemic 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.AI(Artificial Intelligence)