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: "reiter s default logic is a logic of autoepistemic reasoning and a good one too"
  Abstract: A fact apparently not observed earlier in the literature of n onmonotonic reasoning is that Reiter, in his default logic paper, did not directly formalize informal defaults. Instead, he translated a default into a certain na tural language proposition and provided a formalization of the latter. A few years later, Moore noted that propo- sitions like the one used by Reiter are fundamentally differ ent than defaults and exhibit a certain autoepistemic nature. Thus, Reiter had developed his default logic as a for- malization of autoepistemic propositions rather than of defaults. The first goal of this paper is to show that some problems of Rei ter's default logic as a formal way to reason about informal defaults are directly attributable to the au- toepistemic nature of default logic and to the mismatch between informal defaults and the Reiter's formal defaults, the latter being a formal expr ession of the autoepistemic propositions Reiter used as a representation of informal defaults. The second goal of our paper is to compare the work of Reiter and Moore. While each of them attempted to formalize autoepistemic propositions, the modes of rea- soning in their respective logics were different. We revisi t Moore's and Reiter's in- tuitions and present them from the perspective of autotheoremhood, where theories can include propositions referring to the theory's own theo rems. We then discuss the formalization of this perspective in the logics of Moore and Reiter, respectively, using the unifying semantic framework for default and autoepistemic logics that we devel- oped earlier. We argue that Reiter's default logic is a bette r formalization of Moore's intuitions about autoepistemic propositions than Moore's own autoepistemic logic.

Connected through hyperedge HE-1 (induced by source paper "a query driven decision procedure for distributed autoepistemic logic with inductive definitions"):
  with members:
    - "extending classical logic with inductive definitions"

Connected through hyperedge HE-2 (induced by source paper "origins of answer set programming some background and two personal accounts"):
  with members:
    - "automatic music composition using answer set programming"
    - "testing and debugging techniques for answer set solver development"
    - "modularity aspects of disjunctive stable models"
    - "the dlv system for knowledge representation and reasoning"
    - "a logic for non monotone inductive definitions"
    - "tight logic programs"
    - "on the expressibility of stable logic programming"
    - "what does a conditional knowledge base entail"

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)