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: "graphs and colorings for answer set programming"
  Abstract: We investigate the usage of rule dependency graphs and their colorings for characterizing and computing answer sets of logic programs. This approach provides us with insights into the interplay between rules when inducing answer sets. We start with different characterizations of answer sets in terms of totally colored dependency graphs that differ in graph-theoretical aspects. We then develop a series of operational characterizations of answer sets in terms of operators on partial colorings. In analogy to the notion of a derivation in proof theory, our operational characterizations are expressed as (non-deterministically formed) sequences of colorings, turning an uncolored graph into a totally colored one. In this way, we obtain an operational framework in which different combinations of operators result in different formal properties. Among others, we identify the basic strategy employed by the noMoRe system and justify its algorithmic approach. Furthermore, we distinguish operations corresponding to Fitting's operator as well as to well-founded semantics. (To appear in Theory and Practice of Logic Programming (TPLP))

Connected through hyperedge HE-1 (induced by source paper "distributed answer set coloring stable models computation via graph coloring"):
  with members:
    - "clingo asp control preliminary report"

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"
    - "justifying answer sets using argumentation"
    - "asperix a first order forward chaining approach for answer set computing"

Connected through hyperedge HE-3 (induced by source paper "asperix a first order forward chaining approach for answer set computing"):
  with members:
    - "the third open answer set programming competition"
    - "asp modulo csp the clingcon system"
    - "disjunctive asp with functions decidable queries and effective computation"
    - "a decidable subclass of finitary programs"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-4 (induced by source paper "justifications for logic programs under answer set semantics"):
  with members:
    - "temporal phylogenetic networks and logic programming"
    - "bounded ltl model checking with stable models"
    - "diagnostic reasoning with a prolog"
    - "a framework for compiling preferences in logic programs"
    - "assertion checker for the c programming language based on computations over event traces"
    - "transformation based bottom up computation of the well founded model"
    - "stable models and an alternative logic programming paradigm"

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)