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: "stable models and an alternative logic programming paradigm"
  Abstract: In this paper we reexamine the place and role of stable model semantics in logic programming and contrast it with a least Herbrand model approach to Horn programs. We demonstrate that inherent features of stable model semantics naturally lead to a logic programming system that offers an interesting alternative to more traditional logic programming styles of Horn logic programming, stratified logic programming and logic programming with well-founded semantics. The proposed approach is based on the interpretation of program clauses as constraints. In this setting programs do not describe a single intended model, but a family of stable models. These stable models encode solutions to the constraint satisfaction problem described by the program. Our approach imposes restrictions on the syntax of logic programs. In particular, function symbols are eliminated from the language. We argue that the resulting logic programming system is well-attuned to problems in the class NP, has a well-defined domain of applications, and an emerging methodology of programming. We point out that what makes the whole approach viable is recent progress in implementations of algorithms to compute stable models of propositional logic programs.

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 "a logic based framework leveraging neural networks for studying the evolution of neurological disorders"):
  with members:
    - "the seventh answer set programming competition design and results"
    - "the external interface for extending wasp"
    - "asp core 2 input language format"
    - "a comprehensive survey on graph neural networks"
    - "interpreting cnns via decision trees"
    - "constraint answer set programming without grounding"
    - "automated verification of neural networks advances challenges and perspectives"
    - "visual interpretability for deep learning a survey"

Connected through hyperedge HE-3 (induced by source paper "faster and safer training by embedding high level knowledge into deep reinforcement learning"):
  with members:
    - "leveraging human guidance for deep reinforcement learning tasks"
    - "recent advances in imitation learning from observation"
    - "hierarchical imitation and reinforcement learning"
    - "parameter transfer unit for deep neural networks"
    - "interactive learning from policy dependent human feedback"
    - "constrained policy optimization"
    - "a semantic loss function for deep learning with symbolic knowledge"
    - "safe reinforcement learning via shielding"

Connected through hyperedge HE-4 (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"
    - "the dlv system for knowledge representation and reasoning"
    - "flux a logic programming method for reasoning agents"

Connected through hyperedge HE-5 (induced by source paper "dynamic epistemic logic with asp updates application to conditional planning"):
  with members:
    - "temporal answer set programming on finite traces"
    - "a survey of advances in epistemic logic program solvers"
    - "a gentle introduction to epistemic planning the del approach"
    - "simple epistemic planning generalised gossiping"
    - "planning graph heuristics for belief space search"
    - "a logic programming approach to knowledge state planning ii the dlv k system"
    - "constructing conditional plans by a theorem prover"

Connected through hyperedge HE-6 (induced by source paper "founded world views with autoepistemic equilibrium logic"):
  with members:
    - "splitting epistemic logic programs"
    - "a survey of advances in epistemic logic program solvers"
    - "revisiting epistemic specifications"

Connected through hyperedge HE-7 (induced by source paper "the informal semantics of answer set programming a tarskian perspective"):
  with members:
    - "modularity aspects of disjunctive stable models"
    - "the dlv system for knowledge representation and reasoning"
    - "extending classical logic with inductive definitions"

Connected through hyperedge HE-8 (induced by source paper "code aware combinatorial interaction testing"):
  with members:
    - "towards an automated unified framework to run applications for combinatorial interaction testing"
    - "achievement of minimized combinatorial test suite for configuration aware software functional testing using the cuckoo search algorithm"

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)