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 logic for non monotone inductive definitions"
  Abstract: Well-known principles of induction include monotone induction and different sorts of nonmonotone induction such as inflationary induction, induction over well-founded sets and iterated induction. In this work, we define a logic formalizing induction over well-founded sets and monotone and iterated induction. Just as the principle of positive induction has been formalized in FO(LFP), and the principle of inflationary induction has been formalized in FO(IFP), this paper formalizes the principle of iterated induction in a new logic for Non-Monotone Inductive Definitions (ID-logic). The semantics of the logic is strongly influenced by the well-founded semantics of logic programming. Our main result concerns the modularity properties of inductive definitions in ID-logic. Specif

Connected through hyperedge HE-1 (induced by source paper "three semantics for modular systems"):
  with members:
    - "solving modular model expansion tasks"
    - "splitting an operator algebraic modularity results for logics with fixpoint semantics"

Connected through hyperedge HE-2 (induced by source paper "origins of answer set programming some background and two personal accounts"):
  with members:
    - "reiter s default logic is a logic of autoepistemic reasoning and a good one too"
    - "automatic music composition using answer set programming"
    - "testing and debugging techniques for answer set solver development"
    - "modularity aspects of disjunctive stable models"
    - "the dlv system for knowledge representation and reasoning"
    - "tight logic programs"
    - "on the expressibility of stable logic programming"
    - "what does a conditional knowledge base entail"

Connected through hyperedge HE-3 (induced by source paper "solving modular model expansion tasks"):
  with members:
    - "modularity aspects of disjunctive stable models"

Connected through hyperedge HE-4 (induced by source paper "cp logic a language of causal probabilistic events and its relation to logic programming"):
  with members:
    - "using first order probability logic for the construction of bayesian networks"
    - "stochastic logic programs sampling inference and applications"
    - "relational bayesian networks"
    - "structure based causes and explanations in the independent choice logic"
    - "clp bn constraint logic programming for probabilistic knowledge"
    - "probabilistic reasoning with answer sets"
    - "causes and explanations a structural model approach part ii explanations"
    - "bayesian logic programs"

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)