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: "representation results for defeasible logic"
  Abstract: The importance of transformations and normal forms in logic programming, and generally in computer science, is well documented. This paper investigates transformations and normal forms in the context of Defeasible Logic, a simple but efficient formalism for nonmonotonic reasoning based on rules and priorities. The transformations described in this paper have two main benefits: on one hand they can be used as a theoretical tool that leads to a deeper understanding of the formalism, and on the other hand they have been used in the development of an efficient implementation of defeasible logic.

Connected through hyperedge HE-1 (induced by source paper "rethinking defeasible reasoning a scalable approach"):
  with members:
    - "annotated defeasible logic"
    - "efficient computation of the well founded semantics over big data"
    - "computing strong and weak permissions in defeasible logic"
    - "relative expressiveness of defeasible logics"
    - "propositional defeasible logic has linear complexity"
    - "a flexible framework for defeasible logics"

Connected through hyperedge HE-2 (induced by source paper "applications of linear defeasible logic combining resource consumption and exceptions to energy management and business processes"):
  with members:
    - "resource driven substructural defeasible logic"
    - "the rationale behind the concept of goal"
    - "propositional defeasible logic has linear complexity"

Connected through hyperedge HE-3 (induced by source paper "enabling reasoning with legalruleml"):
  with members:
    - "a general account of argumentation with preferences"
    - "propositional defeasible logic has linear complexity"
    - "a flexible framework for defeasible logics"

Connected through hyperedge HE-4 (induced by source paper "the rationale behind the concept of goal"):
  with members:
    - "computing strong and weak permissions in defeasible logic"
    - "propositional defeasible logic has linear complexity"

Connected through hyperedge HE-5 (induced by source paper "disarm a social distributed agent reputation model based on defeasible logic"):
  with members:
    - "a generic trust framework for large scale open systems using machine learning"
    - "propositional defeasible logic has linear complexity"

Connected through hyperedge HE-6 (induced by source paper "strategic argumentation is np complete"):
  with members:
    - "revision of defeasible logic preferences"
    - "propositional defeasible logic has linear complexity"

Connected through hyperedge HE-7 (induced by source paper "computing strong and weak permissions in defeasible logic"):
  with members:
    - "propositional defeasible logic has linear complexity"

Connected through hyperedge HE-8 (induced by source paper "revision of defeasible logic preferences"):
  with members:
    - "a program level approach to revising logic programs under the answer set semantics"
    - "embedding defeasible logic into logic programming"
    - "propositional defeasible logic has linear complexity"
    - "well founded semantics for extended logic programs with dynamic preferences"

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)