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: "each normal logic program has a 2 valued minimal hypotheses semantics"
  Abstract: In this paper we explore a unifying approach --- that of hypotheses assumption --- as a means to provide a semantics for all Normal Logic Programs (NLPs), the Minimal Hypotheses (MH) semantics. This semantics takes a positive hypotheses assumption approach as a means to guarantee the desirable properties of model existence, relevance and cumulativity, and of generalizing the Stable Models in the process. To do so we first introduce the fundamental semantic concept of minimality of assumed positive hypotheses, define the MH semantics, and analyze the semantics' properties and applicability. Indeed, abductive Logic Programming can be conceptually captured by a strategy centered on the assumption of abducibles (or hypotheses). Likewise, the Argumentation perspective of Logic Programs also lends itself to an arguments (or hypotheses) assumption approach. Previous works on Abduction have depicted the atoms of default negated literals in NLPs as abducibles, i.e., assumable hypotheses. We take a complementary and more general view than these works to NLP semantics by employing positive hypotheses instead.

Connected through hyperedge HE-1 (induced by source paper "dynamics of belief abduction horn knowledge base and database updates"):
  with members:
    - "comparative study of view update algorithms in rational choice theory"
    - "on the complexity of second best abductive explanations"
    - "a new rational algorithm for view updating in relational databases"
    - "an abductive framework for horn knowledge base dynamics"
    - "a rational and efficient algorithm for view revision in databases"
    - "admissible and restrained revision"
    - "coherent integration of databases by abductive logic programming"
    - "new polynomial classes for logic based abduction"

Connected through hyperedge HE-2 (induced by source paper "an abductive framework for horn knowledge base dynamics"):
  with members:
    - "comparative study of view update algorithms in rational choice theory"
    - "on the complexity of second best abductive explanations"
    - "a new rational algorithm for view updating in relational databases"
    - "the view update problem for indefinite databases"
    - "compilability of propositional abduction"
    - "an abductive framework for computing knowledge base updates"
    - "coherent integration of databases by abductive logic programming"
    - "new polynomial classes for logic based abduction"

Connected through hyperedge HE-3 (induced by source paper "properties of stable model semantics extensions"):
  with members:
    - "transformation based bottom up computation of the well founded model"

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)