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: "propositional independence formula variable independence and forgetting"
  Abstract: Independence - the study of what is relevant to a given problem of reasoning - has received an increasing attention from the AI community. In this paper, we consider two basic forms of independence, namely, a syntactic one and a semantic one. We show features and drawbacks of them. In particular, while the syntactic form of independence is computationally easy to check, there are cases in which things that intuitively are not relevant are not recognized as such. We also consider the problem of forgetting, i.e., distilling from a knowledge base only the part that is relevant to the set of queries constructed from a subset of the alphabet. While such process is computationally hard, it allows for a simplification of subsequent reasoning, and can thus be viewed as a form of compilation: once the relevant part of a knowledge base has been extracted, all reasoning tasks to be performed can be simplified.

Connected through hyperedge HE-1 (induced by source paper "on the reasons behind decisions"):
  with members:
    - "on validating repairing and refining heuristic ml explanations"
    - "a symbolic approach to explaining bayesian network classifiers"
    - "why should i trust you explaining the predictions of any classifier"
    - "the language of search"
    - "a knowledge compilation map"

Connected through hyperedge HE-2 (induced by source paper "on sufficient and necessary conditions in bounded ctl"):
  with members:
    - "foundations for uniform interpolation and forgetting in expressive description logics"
    - "variable forgetting in reasoning about knowledge"
    - "compiling causal theories to successor state axioms and strips like systems"

Connected through hyperedge HE-3 (induced by source paper "knowledge compilation for boolean functional synthesis"):
  with members:
    - "understanding and extending incremental determinization for 2qbf"
    - "what s hard about boolean functional synthesis"
    - "functional synthesis via input output separation"
    - "towards parallel boolean functional synthesis"
    - "skolem functions for factored formulas"
    - "a knowledge compilation map"

Connected through hyperedge HE-4 (induced by source paper "a syntactic operator for forgetting that satisfies strong persistence"):
  with members:
    - "when you must forget beyond strong persistence when forgetting in answer set programming"
    - "propositional theories are strongly equivalent to logic programs"

Connected through hyperedge HE-5 (induced by source paper "a logic algebraic tool for reasoning with knowledge based systems"):
  with members:
    - "variable forgetting in reasoning about knowledge"
    - "on the practical use of variable elimination in constraint optimization problems still life as a case study"

Connected through hyperedge HE-6 (induced by source paper "when you must forget beyond strong persistence when forgetting in answer set programming"):
  with members:
    - "the rise and fall of semantic rule updates based on se models"
    - "the logical difference for the lightweight description logic el"
    - "a system of interaction and structure"
    - "on the practical use of variable elimination in constraint optimization problems still life as a case study"
    - "semantical characterizations and complexity of equivalences in answer set programming"
    - "an abductive framework for computing knowledge base updates"

Connected through hyperedge HE-7 (induced by source paper "belief merging by source reliability assessment"):
  with members:
    - "distributing knowledge into simple bases"
    - "belief merging by examples"

Connected through hyperedge HE-8 (induced by source paper "forgetting and consolidation for incremental and cumulative knowledge acquisition systems"):
  with members:
    - "variable forgetting in reasoning about knowledge"
    - "a model of inductive bias learning"

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)