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: "unfounded sets and well founded semantics of answer set programs with aggregates"
  Abstract: Logic programs with aggregates (LPA) are one of the major linguistic extensions to Logic Programming (LP). In this work, we propose a generalization of the notions of unfounded set and well-founded semantics for programs with monotone and antimonotone aggregates (LPm,aA programs). In particular, we present a new notion of unfounded set for LPm,aA programs, which is a sound generalization of the original definition for standard (aggregate-free) LP. On this basis, we define a well-founded operator for LPm,aA programs, the fixpoint of which is called well-founded model (or well-founded semantics) for LPm,aA programs. The most important properties of unfounded sets and the well-founded semantics for standard LP are retained by this generalization, notably existence and uniqueness of the well-founded model, together with a strong relationship to the answer set semantics for LPm,aA programs. We show that one of the D-well-founded semantics, defined by Pelov, Denecker, and Bruynooghe for a broader class of aggregates using approximating operators, coincides with the well-founded model as defined in this work on LPm,aA programs. We also discuss some complexity issues, most importantly we give a formal proof of tractable computation of the well-founded model for LPm,aA programs. Moreover, we prove that for general LPA programs, which may contain aggregates that are neither monotone nor antimonotone, deciding satisfaction of aggregate expressions with respect to partial interpretations is coNP-complete. As a consequence, a well-founded semantics for general LPA programs that allows for tractable computation is unlikely to exist, which justifies the restriction on LPm,aA programs. Finally, we present a prototype system extending DLV, which supports the well-founded semantics for LPm,aA programs, at the time of writing the only implemented system that does so. Experiments with this prototype show significant computational advantages of aggregate constructs over equivalent aggregate-free encodings.

Connected through hyperedge HE-1 (induced by source paper "asp core 2 input language format"):
  with members:
    - "relating two dialects of answer set programming"
    - "routing driverless transport vehicles in car assembly with answer set programming"
    - "abstract gringo"
    - "rewriting recursive aggregates in answer set programming back to monotonicity"
    - "vicious circle principle and logic programs with aggregates"
    - "the third open answer set programming competition"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-2 (induced by source paper "shared aggregate sets in answer set programming"):
  with members:
    - "asp core 2 input language format"
    - "constraints lazy constraints or propagators in asp solving an empirical analysis"
    - "clingcon the next generation"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"
    - "complexity and compilation of gz aggregates in answer set programming"
    - "rewriting recursive aggregates in answer set programming back to monotonicity"

Connected through hyperedge HE-3 (induced by source paper "grounding recursive aggregates preliminary report"):
  with members:
    - "grounding fo and fo id with bounds"
    - "logic programs with propositional connectives and aggregates"
    - "the dlv system for knowledge representation and reasoning"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-4 (induced by source paper "rewriting recursive aggregates in answer set programming back to monotonicity"):
  with members:
    - "anytime computation of cautious consequences in answer set programming"
    - "vicious circle principle and logic programs with aggregates"
    - "conflict driven asp solving with external sources"
    - "relating weight constraint and aggregate programs semantics and representation"
    - "logic programs with propositional connectives and aggregates"
    - "design and implementation of aggregate functions in the dlv system"
    - "properties and applications of programs with monotone and convex constraints"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-5 (induced by source paper "properties of answer set programming with convex generalized atoms"):
  with members:
    - "answer sets for logic programs with arbitrary abstract constraint atoms"
    - "properties and applications of programs with monotone and convex constraints"
    - "a constructive semantic characterization of aggregates in asp"
    - "well founded and stable semantics of logic programs with aggregates"
    - "logic programs with monotone cardinality atoms"

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.LO(Logic in Computer Science)