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: "justifying answer sets using argumentation"
  Abstract: An answer set is a plain set of literals which has no further structure that would explain why certain literals are part of it and why others are not. We show how argumentation theory can help to explain why a literal is or is not contained in a given answer set by defining two justification methods, both of which make use of the correspondence between answer sets of a logic program and stable extensions of the assumption-based argumentation (ABA) framework constructed from the same logic program.  Attack Trees  justify a literal in argumentation-theoretic terms, i.e. using arguments and attacks between them, whereas  ABA-Based Answer Set Justifications  express the same justification structure in logic programming terms, that is using literals and their relationships. Interestingly, an ABA-Based Answer Set Justification corresponds to an admissible fragment of the answer set in question, and an Attack Tree corresponds to an admissible fragment of the stable extension corresponding to this answer set.

Connected through hyperedge HE-1 (induced by source paper "debugging non ground asp programs technique and graphical tools"):
  with members:
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "generating explanations for biomedical queries"
    - "a web based ide for idp"
    - "the third open answer set programming competition"
    - "unit testing in aspide"
    - "catching the ouroboros on debugging non ground answer set programs"

Connected through hyperedge HE-2 (induced by source paper "answering the why in answer set programming a survey of explanation approaches"):
  with members:
    - "achievements in answer set programming"
    - "enablers and inhibitors in causal justifications of logic programs"
    - "stepwise debugging of answer set programs"
    - "justifications for programs with disjunctive and causal choice rules"
    - "deriving conclusions from non monotonic cause effect relations"
    - "an integrated graphical user interface for debugging answer set programs"
    - "asperix a first order forward chaining approach for answer set computing"
    - "generating explanations for biomedical queries"

Connected through hyperedge HE-3 (induced by source paper "enablers and inhibitors in causal justifications of logic programs"):
  with members:
    - "causal graph justifications of logic programs"
    - "actual causation in cp logic"
    - "catching the ouroboros on debugging non ground answer set programs"
    - "actual causation and the art of modeling"
    - "defaults and normality in causal structures"
    - "justifications for logic programs under answer set semantics"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-4 (induced by source paper "justifications for programs with disjunctive and causal choice rules"):
  with members:
    - "enablers and inhibitors in causal justifications of logic programs"
    - "deriving conclusions from non monotonic cause effect relations"
    - "causal graph justifications of logic programs"
    - "actual causation in cp logic"
    - "catching the ouroboros on debugging non ground answer set programs"
    - "justifications for logic programs under answer set semantics"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-5 (induced by source paper "deriving conclusions from non monotonic cause effect relations"):
  with members:
    - "enablers and inhibitors in causal justifications of logic programs"
    - "justifications for programs with disjunctive and causal choice rules"
    - "causal graph justifications of logic programs"
    - "actual causation in cp logic"
    - "defaults and normality in causal structures"
    - "justifications for logic programs under answer set semantics"

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)