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: "redundancy in logic i cnf propositional formulae"
  Abstract: A knowledge base is redundant if it contains parts that can be inferred from the rest of it. We study some problems related to the redundancy of a CNF formula. In particular, any CNF formula can be made irredundant by deleting some of its clauses: what results is an irredundant equivalent subset. We study the complexity of problems related to irredundant equivalent subsets: verification, checking existence of an irredundant equivalent subset with a given size, checking necessary and possible presence of clauses in irredundant equivalent subsets, and uniqueness. We also consider the problem of redundancy with different definitions of equivalence.

Connected through hyperedge HE-1 (induced by source paper "sld resolution reduction of second order horn fragments technical report"):
  with members:
    - "logical rule induction and theory learning using neural theorem proving"
    - "exploiting answer set programming with external sources for meta interpretive learning"
    - "learning explanatory rules from noisy data"
    - "end to end differentiable proving"
    - "deep learning for ontology reasoning"
    - "minimization for generalized boolean formulas"
    - "redundancy deduction schemes and minimum size bases for association rules"
    - "redundancy deduction schemes and minimum size bases for association rules"

Connected through hyperedge HE-2 (induced by source paper "logical reduction of metarules"):
  with members:
    - "inductive general game playing"
    - "logical rule induction and theory learning using neural theorem proving"
    - "exploiting answer set programming with external sources for meta interpretive learning"
    - "learning explanatory rules from noisy data"
    - "minimization for generalized boolean formulas"
    - "redundancy in logic ii 2cnf and horn propositional formulae"

Connected through hyperedge HE-3 (induced by source paper "minimal assumptions refinement for gr 1 specifications"):
  with members:
    - "a weakness measure for gr 1 formulae"
    - "interpolation based gr 1 assumptions refinement"
    - "using dynamic analysis to generate disjunctive invariants"
    - "counter strategy guided refinement of gr 1 temporal logic specifications"

Connected through hyperedge HE-4 (induced by source paper "abduction based explanations for machine learning models"):
  with members:
    - "interpreting cnns via decision trees"
    - "the intriguing properties of model explanations"
    - "methods for interpreting and understanding deep neural networks"
    - "reachability analysis of deep neural networks with provable guarantees"
    - "learning explanatory rules from noisy data"
    - "deep learning for case based reasoning through prototypes a neural network that explains its predictions"
    - "human level intelligence or animal like abilities"
    - "feature guided black box safety testing of deep neural networks"

Connected through hyperedge HE-5 (induced by source paper "constrained counting and sampling bridging the gap between theory and practice"):
  with members:
    - "approximate probabilistic inference via word level counting"
    - "distribution aware sampling and weighted model counting for sat"
    - "balancing scalability and uniformity in sat witness generator"
    - "structured learning modulo theories"
    - "a scalable approximate model counter"
    - "taming the curse of dimensionality discrete integration by hashing and optimization"
    - "a scalable and nearly uniform generator of sat witnesses"
    - "optimization with parity constraints from binary codes to discrete integration"

Connected through hyperedge HE-6 (induced by source paper "qbf as an alternative to courcelle s theorem"):
  with members:
    - "small resolution proofs for qbf using dependency treewidth"

Connected through hyperedge HE-7 (induced by source paper "on redundant topological constraints"):
  with members:
    - "on the decidability of connectedness constraints in 2d and 3d euclidean spaces"
    - "reasoning about cardinal directions between extended objects"
    - "removing propagation redundant constraints in redundant modeling"
    - "a complete classification of tractability in rcc 5"

Connected through hyperedge HE-8 (induced by source paper "computing minimal sets on propositional formulae i problems reductions"):
  with members:
    - "discovering cyclic causal models with latent variables a general sat based procedure"
    - "automatic abstraction in smt based unbounded software model checking"
    - "cause clue clauses error localization using maximum satisfiability"
    - "redundancy in logic ii 2cnf and horn propositional formulae"
    - "propositional independence formula variable independence and forgetting"
    - "a knowledge compilation map"

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)