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: "automatic music composition using answer set programming"
  Abstract: Music composition used to be a pen and paper activity. These these days music is often composed with the aid of computer software, even to the point where the computer compose parts of the score autonomously. The composition of most styles of music is governed by rules. We show that by approaching the automation, analysis and verification of composition as a knowledge representation task and formalising these rules in a suitable logical language, powerful and expressive intelligent composition tools can be easily built. This application paper describes the use of answer set programming to construct an automated system, named ANTON, that can compose melodic, harmonic and rhythmic music, diagnose errors in human compositions and serve as a computer-aided composition tool. The combination of harmonic, rhythmic and melodic composition in a single framework makes ANTON unique in the growing area of algorithmic composition. With near real-time composition, ANTON reaches the point where it can not only be used as a component in an interactive composition tool but also has the potential for live performances and concerts or automatically generated background music in a variety of applications. With the use of a fully declarative language and an "off-the-shelf" reasoning engine, ANTON provides the human composer a tool which is significantly simpler, more compact and more versatile than other existing systems. This paper has been accepted for publication in Theory and Practice of Logic Programming (TPLP).

Connected through hyperedge HE-1 (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-2 (induced by source paper "justifying answer sets using argumentation"):
  with members:
    - "generating explanations for biomedical queries"
    - "justifications for logic programs under answer set semantics"
    - "defeasible logic programming an argumentative approach"
    - "smodels a system for answer set programming"

Connected through hyperedge HE-3 (induced by source paper "annotating answer set programs in lana"):
  with members:
    - "unit testing in aspide"
    - "kara a system for visualising and visual editing of interpretations for answer set programs"
    - "modularity aspects of disjunctive stable models"

Connected through hyperedge HE-4 (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"
    - "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"
    - "on the expressibility of stable logic programming"
    - "what does a conditional knowledge base entail"

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)