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: "discovering classes of strongly equivalent logic programs"
  Abstract: In this paper we apply computer-aided theorem discovery technique to discover theorems about strongly equivalent logic programs under the answer set semantics. Our discovered theorems capture new classes of strongly equivalent logic programs that can lead to new program simplification rules that preserve strong equivalence. Specifically, with the help of computers, we discovered exact conditions that capture the strong equivalence between a rule and the empty set, between two rules, between two rules and one of the two rules, between two rules and another rule, and between three rules and two of the three rules.

Connected through hyperedge HE-1 (induced by source paper "on the strong equivalences for lpmln programs"):
  with members:
    - "asp core 2 input language format"
    - "weight learning in a probabilistic extension of answer set programs"
    - "computing lpmln using asp and mln solvers"
    - "probabilistic reasoning with answer sets"
    - "semantical characterizations and complexity of equivalences in answer set programming"
    - "logic programming with ordered disjunction"

Connected through hyperedge HE-2 (induced by source paper "on uniform equivalence of epistemic logic programs"):
  with members:
    - "revisiting epistemic specifications"
    - "modularity aspects of disjunctive stable models"
    - "characterising equilibrium logic and nested logic programs reductions and complexity1 2"
    - "strong equivalence made easy nested expressions and weight constraints"

Connected through hyperedge HE-3 (induced by source paper "epistemic logic programs a different world view"):
  with members:
    - "revisiting epistemic specifications"
    - "characterising equilibrium logic and nested logic programs reductions and complexity1 2"
    - "strong equivalence made easy nested expressions and weight constraints"

Connected through hyperedge HE-4 (induced by source paper "a general framework for equivalences in answer set programming by countermodels in the logic of here and there"):
  with members:
    - "modularity aspects of disjunctive stable models"
    - "relativized hyperequivalence of logic programs for modular programming"
    - "propositional theories are strongly equivalent to logic programs"
    - "a common view on strong uniform and other notions of equivalence in answer set programming"
    - "the dlv system for knowledge representation and reasoning"
    - "semantical characterizations and complexity of equivalences in answer set programming"

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)