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: "on the expressibility of stable logic programming"
  Abstract: (We apologize for pidgin LaTeX) Schlipf \cite{sch91} proved that Stable Logic Programming (SLP) solves all $\mathit{NP}$ decision problems. We extend Schlipf's result to prove that SLP solves all search problems in the class $\mathit{NP}$. Moreover, we do this in a uniform way as defined in \cite{mt99}. Specifically, we show that there is a single $\mathrm{DATALOG}^{\neg}$ program $P_{\mathit{Trg}}$ such that given any Turing machine $M$, any polynomial $p$ with non-negative integer coefficients and any input $\sigma$ of size $n$ over a fixed alphabet $\Sigma$, there is an extensional database $\mathit{edb}_{M,p,\sigma}$ such that there is a one-to-one correspondence between the stable models of $\mathit{edb}_{M,p,\sigma} \cup P_{\mathit{Trg}}$ and the accepting computations of the machine $M$ that reach the final state in at most $p(n)$ steps. Moreover, $\mathit{edb}_{M,p,\sigma}$ can be computed in polynomial time from $p$, $\sigma$ and the description of $M$ and the decoding of such accepting computations from its corresponding stable model of $\mathit{edb}_{M,p,\sigma} \cup P_{\mathit{Trg}}$ can be computed in linear time. A similar statement holds for Default Logic with respect to $\Sigma_2^\mathrm{P}$-search problems\footnote{The proof of this result involves additional technical complications and will be a subject of another publication.}.

Connected through hyperedge HE-1 (induced by source paper "finding similar diverse solutions in answer set programming"):
  with members:
    - "temporal phylogenetic networks and logic programming"
    - "weight constraints as nested expressions"
    - "planning through stochastic local search and temporal action graphs in lpg"

Connected through hyperedge HE-2 (induced by source paper "expressing preferences using preference set constraint atoms"):
  with members:
    - "planning with preferences using logic programming"
    - "logic programming with ordered disjunction"
    - "extending the stable model semantics with more expressive rules"

Connected through hyperedge HE-3 (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"
    - "a logic for non monotone inductive definitions"
    - "tight logic programs"
    - "what does a conditional knowledge base entail"

Connected through hyperedge HE-4 (induced by source paper "on finitely recursive programs"):
  with members:
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-5 (induced by source paper "towards automated integration of guess and check programs in answer set programming a meta interpreter and applications"):
  with members:
    - "the dlv system for knowledge representation and reasoning"
    - "an abductive framework for computing knowledge base updates"
    - "diagnostic reasoning with a prolog"
    - "a logic programming approach to knowledge state planning ii the dlv k system"
    - "computing preferred answer sets by meta interpretation in answer set programming"
    - "on properties of update sequences based on causal rejection"
    - "conformant planning via symbolic model checking"
    - "dlv a system for declarative problem solving"

Connected through hyperedge HE-6 (induced by source paper "computing preferred answer sets by meta interpretation in answer set programming"):
  with members:
    - "answer set planning under action costs"
    - "logic programs with compiled preferences"
    - "smodels a system for answer set programming"
    - "well founded semantics for extended logic programs with dynamic preferences"

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)