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: "the dlv system for knowledge representation and reasoning"
  Abstract: Disjunctive Logic Programming (DLP) is an advanced formalism for knowledge representation and reasoning, which is very expressive in a precise mathematical sense: it allows one to express every property of finite structures that is decidable in the complexity class ΣP2 (NPNP). Thus, under widely believed assumptions, DLP is strictly more expressive than normal (disjunction-free) logic programming, whose expressiveness is limited to properties decidable in NP. Importantly, apart from enlarging the class of applications which can be encoded in the language, disjunction often allows for representing problems of lower complexity in a simpler and more natural fashion.This article presents the DLV system, which is widely considered the state-of-the-art implementation of disjunctive logic programming, and addresses several aspects. As for problem solving, we provide a formal definition of its kernel language, function-free disjunctive logic programs (also known as disjunctive datalog), extended by weak constraints, which are a powerful tool to express optimization problems. We then illustrate the usage of DLV as a tool for knowledge representation and reasoning, describing a new declarative programming methodology which allows one to encode complex problems (up to ΔP3-complete problems) in a declarative fashion. On the foundational side, we provide a detailed analysis of the computational complexity of the language of DLV, and by deriving new complexity results we chart a complete picture of the complexity of this language and important fragments thereof.Furthermore, we illustrate the general architecture of the DLV system, which has been influenced by these results. As for applications, we overview application front-ends which have been developed on top of DLV to solve specific knowledge representation tasks, and we briefly describe the main international projects investigating the potential of the system for industrial exploitation. Finally, we report about thorough experimentation and benchmarking, which has been carried out to assess the efficiency of the system. The experimental results confirm the solidity of DLV and highlight its potential for emerging application areas like knowledge management and information integration.

Connected through hyperedge HE-1 (induced by source paper "the seventh answer set programming competition design and results"):
  with members:
    - "efficiently coupling the i dlv grounder with asp solvers"
    - "optimizing answer set computation via heuristic based decomposition"
    - "on the computation of paracoherent answer sets"
    - "casp solutions for planning in hybrid domains"
    - "stable unstable semantics beyond np with normal logic programs"
    - "asperix a first order forward chaining approach for answer set computing"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"

Connected through hyperedge HE-2 (induced by source paper "efficiently coupling the i dlv grounder with asp solvers"):
  with members:
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "asperix a first order forward chaining approach for answer set computing"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"
    - "a multi engine approach to answer set programming"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "team building with answer set programming in the gioia tauro seaport"
    - "satzilla portfolio based algorithm selection for sat"

Connected through hyperedge HE-3 (induced by source paper "abstract solvers for computing cautious consequences of asp programs"):
  with members:
    - "cautious reasoning in asp via minimal models and unsatisfiable cores"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "anytime computation of cautious consequences in answer set programming"
    - "the third open answer set programming competition"
    - "transition systems for model generators a unifying approach"
    - "consistent query answering via asp from different perspectives theory and practice"
    - "flux a logic programming method for reasoning agents"
    - "answer sets for consistent query answering in inconsistent databases"

Connected through hyperedge HE-4 (induced by source paper "better paracoherent answer sets with less resources"):
  with members:
    - "on the computation of paracoherent answer sets"
    - "multi shot asp solving with clingo"
    - "query answering in resource based answer set semantics"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "improved answer set programming encodings for abstract argumentation"
    - "on the tractability of minimal model computation for some cnf theories"
    - "flux a logic programming method for reasoning agents"

Connected through hyperedge HE-5 (induced by source paper "exploiting partial knowledge in declarative domain specific heuristics for asp"):
  with members:
    - "the seventh answer set programming competition design and results"
    - "degrees of laziness in grounding effects of lazy grounding strategies on asp solving"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "asperix a first order forward chaining approach for answer set computing"
    - "clingo asp control preliminary report"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "team building with answer set programming in the gioia tauro seaport"
    - "logic programs with propositional connectives and aggregates"

Connected through hyperedge HE-6 (induced by source paper "partial compilation of asp programs"):
  with members:
    - "the external interface for extending wasp"
    - "constraint answer set solver ezcsp and why integration schemas matter"
    - "constraints lazy constraints or propagators in asp solving an empirical analysis"
    - "a model building framework for answer set programming with external computations"
    - "asperix a first order forward chaining approach for answer set computing"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "asp modulo csp the clingcon system"
    - "modularity aspects of disjunctive stable models"

Connected through hyperedge HE-7 (induced by source paper "solving advanced argumentation problems with answer set programming"):
  with members:
    - "depqbf 6 0 a search based qbf solver beyond traditional qcdcl"
    - "the power of non ground rules in answer set programming"
    - "stable unstable semantics beyond np with normal logic programs"
    - "lpopt a rule optimization tool for answer set programming"
    - "extension based semantics of abstract dialectical frameworks"

Connected through hyperedge HE-8 (induced by source paper "encoding selection for solving hamiltonian cycle problems with asp"):
  with members:
    - "automated algorithm selection survey and perspectives"
    - "lpopt a rule optimization tool for answer set programming"
    - "a multi engine approach to answer set programming"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "satzilla portfolio based algorithm selection for sat"

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)