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: "preferred answer sets for ordered logic programs"
  Abstract: We extend answer set semantics to deal with inconsistent programs (containing classical negation), by finding a ``best'' answer set. Within the context of inconsistent programs, it is natural to have a partial order on rules, representing a preference for satisfying certain rules, possibly at the cost of violating less important ones. We show that such a rule order induces a natural order on extended answer sets, the minimal elements of which we call preferred answer sets. We characterize the expressiveness of the resulting semantics and show that it can simulate negation as failure, disjunction and some other formalisms such as logic programs with ordered disjunction. The approach is shown to be useful in several application areas, e.g. repairing database, where minimal repairs correspond to preferred answer sets. #R##N#To appear in Theory and Practice of Logic Programming (TPLP).

Connected through hyperedge HE-1 (induced by source paper "unambiguous prioritized repairing of databases"):
  with members:
    - "achieving new upper bounds for the hypergraph duality problem through logic"
    - "prioritized repairing and consistent query answering in relational databases"

Connected through hyperedge HE-2 (induced by source paper "possibilistic answer set programming revisited"):
  with members:
    - "semantics for possibilistic disjunctive programs"
    - "probabilistic reasoning with answer sets"

Connected through hyperedge HE-3 (induced by source paper "prioritized repairing and consistent query answering in relational databases"):
  with members:
    - "defining relative likelihood in partially ordered preferential structures"
    - "data conflict resolution using trust mappings"
    - "consistent query answers in the presence of universal constraints"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-4 (induced by source paper "consistent query answers in the presence of universal constraints"):
  with members:
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "complexity and approximation of fixing numerical attributes in databases under integrity constraints"
    - "answer sets for consistent query answering in inconsistent databases"
    - "minimal change integrity maintenance using tuple deletions"
    - "dlv a system for declarative problem solving"

Connected through hyperedge HE-5 (induced by source paper "a knowledge based approach for selecting information sources"):
  with members:
    - "the dlv system for knowledge representation and reasoning"
    - "a framework for compiling preferences in logic programs"
    - "on properties of update sequences based on causal rejection"
    - "information integration and computational logic"
    - "using methods of declarative logic programming for intelligent information agents"

Connected through hyperedge HE-6 (induced by source paper "priority based conflict resolution in inconsistent relational databases"):
  with members:
    - "answer sets for consistent query answering in inconsistent databases"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-7 (induced by source paper "minimal change integrity maintenance using tuple deletions"):
  with members:
    - "answer sets for consistent query answering in inconsistent databases"
    - "on the computational complexity of consistent query answers"

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)