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: "possibilistic answer set programming revisited"
  Abstract: Possibilistic answer set programming (PASP) extends answer set programming (ASP) by attaching to each rule a degree of certainty. While such an extension is important from an application point of view, existing semantics are not well-motivated, and do not always yield intuitive results. To develop a more suitable semantics, we first introduce a characterization of answer sets of classical ASP programs in terms of possibilistic logic where an ASP program specifies a set of constraints on possibility distributions. This characterization is then naturally generalized to define answer sets of PASP programs. We furthermore provide a syntactic counterpart, leading to a possibilistic generalization of the well-known Gelfond-Lifschitz reduct, and we show how our framework can readily be implemented using standard ASP solvers.

Connected through hyperedge HE-1 (induced by source paper "modeling uncertainty and imprecision in nonmonotonic reasoning using fuzzy numbers"):
  with members:
    - "a unified framework for nonmonotonic reasoning with vagueness and uncertainty"
    - "characterizing and extending answer set semantics using possibility theory"

Connected through hyperedge HE-2 (induced by source paper "a unified framework for nonmonotonic reasoning with vagueness and uncertainty"):
  with members:
    - "characterizing and extending answer set semantics using possibility theory"
    - "emergency centre organization and automated triage system"
    - "probabilistic reasoning with answer sets"

Connected through hyperedge HE-3 (induced by source paper "characterizing and extending answer set semantics using possibility theory"):
  with members:
    - "semantics for possibilistic disjunctive programs"
    - "revisiting epistemic specifications"
    - "epistemic foundation of stable model semantics"
    - "disjunctive logic programs with inheritance"
    - "logic programming with ordered disjunction"

Connected through hyperedge HE-4 (induced by source paper "the pita system tabling and answer subsumption for reasoning under uncertainty"):
  with members:
    - "clp bn constraint logic programming for probabilistic knowledge"
    - "semantics for possibilistic disjunctive programs"
    - "the language features and architecture of b prolog"
    - "probabilistic reasoning with answer sets"
    - "bayesian logic programs"

Connected through hyperedge HE-5 (induced by source paper "reducing fuzzy answer set programming to model finding in fuzzy logics"):
  with members:
    - "probabilistic reasoning with answer sets"
    - "the dlv system for knowledge representation and reasoning"
    - "epistemic foundation of stable model semantics"

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.AI(Artificial Intelligence)