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: "arc consistency and friends"
  Abstract: A natural and established way to restrict the constraint satisfaction problem is to fix the relations that can be used to pose constraints; such a family of relations is called a constraint language. In this article, we study arc consistency, a heavily investigated inference method, and three extensions thereof from the perspective of constraint languages. We conduct a comparison of the studied methods on the basis of which constraint languages they solve, and we present new polynomial-time tractability results for singleton arc consistency, the most powerful method studied.

Connected through hyperedge HE-1 (induced by source paper "a polynomial time algorithm for median closed semilinear constraints"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "weaker consistency notions for all the csps of bounded width"
    - "the complexity of general valued csps"
    - "tropically convex constraint satisfaction"
    - "constraint satisfaction and semilinear expansions of addition over the rationals and the reals"
    - "essential convexity and complexity of semi algebraic constraints"

Connected through hyperedge HE-2 (induced by source paper "exploring directional path consistency for solving constraint networks"):
  with members:
    - "weaker consistency notions for all the csps of bounded width"

Connected through hyperedge HE-3 (induced by source paper "on singleton arc consistency for csps defined by monotone patterns"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "weaker consistency notions for all the csps of bounded width"
    - "the power of arc consistency for csps defined by partially ordered forbidden patterns"
    - "variable and value elimination in binary constraint satisfaction via forbidden patterns"
    - "the tractability of csp classes defined by forbidden patterns"
    - "hybrid tractability of valued constraint problems"
    - "tractable hypergraph properties for constraint satisfaction and conjunctive queries"

Connected through hyperedge HE-4 (induced by source paper "asking the metaquestions in constraint tractability"):
  with members:
    - "meditations on quantified constraint satisfaction"
    - "generic expression hardness results for primitive positive formula comparison"
    - "peek arc consistency"

Connected through hyperedge HE-5 (induced by source paper "weaker consistency notions for all the csps of bounded width"):
  with members:
    - "peek arc consistency"

Connected through hyperedge HE-6 (induced by source paper "local consistency and sat solvers"):
  with members:
    - "clause learning algorithms with many restarts and bounded width resolution"
    - "towards understanding and harnessing the potential of clause learning"

Connected through hyperedge HE-7 (induced by source paper "beyond q resolution and prenex form a proof system for quantified constraint satisfaction"):
  with members:
    - "computing resolution path dependencies in linear time"

Connected through hyperedge HE-8 (induced by source paper "one hierarchy spawns another graph deconstructions and the complexity classification of conjunctive queries"):
  with members:
    - "the fine classification of conjunctive queries and parameterized logarithmic space complexity"
    - "tractable hypergraph properties for constraint satisfaction and conjunctive queries"
    - "linear datalog and bounded path duality of relational structures"
    - "beyond hypertree width decomposition methods without decompositions"
    - "hypertree decompositions and tractable queries"
    - "fixed parameter tractability definability and model checking"

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)