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: "blistr the blind strategymaker"
  Abstract: BliStr is a system that automatically develops strategies for E prover on a large set of problems. The main idea is to interleave (i) iterated low-timelimit local search for new strategies on small sets of similar easy problems with (ii) higher-timelimit evaluation of the new strategies on all problems. The accumulated results of the global higher-timelimit runs are used to define and evolve the notion of "similar easy problems", and to control the selection of the next strategy to be improved. The technique was used to significantly strengthen the set of E strategies used by the MaLARea, PS-E, E-MaLeS, and E systems in the CASC@Turing 2012 competition, particularly in the Mizar division. Similar improvement was obtained on the problems created from the Flyspeck corpus.

Connected through hyperedge HE-1 (induced by source paper "reinforcement learning of theorem proving"):
  with members:
    - "atpboost learning premise selection in binary setting with atp feedback"
    - "mastering chess and shogi by self play with a general reinforcement learning algorithm"
    - "deep network guided proof search"
    - "tactictoe learning to reason with hol4 tactics"
    - "deepmath deep sequence models for premise selection"
    - "xgboost a scalable tree boosting system"
    - "holophrasm a neural automated theorem prover for higher order logic"
    - "premise selection and external provers for hol4"

Connected through hyperedge HE-2 (induced by source paper "enigma efficient learning based inference guiding machine"):
  with members:
    - "monte carlo connection prover"
    - "mizar 40 for mizar 40"
    - "sepia search for proofs using inferred automata"
    - "machine learner for automated reasoning 0 4 and 0 5"
    - "males a framework for automatic tuning of automated theorem provers"
    - "learning assisted automated reasoning with flyspeck"

Connected through hyperedge HE-3 (induced by source paper "tactictoe learning to reason with hol4 tactics"):
  with members:
    - "internal guidance for satallax"
    - "sepia search for proofs using inferred automata"
    - "learning assisted theorem proving with millions of lemmas"
    - "recycling proof patterns in coq case studies"
    - "machine learning in proof general interfacing interfaces"
    - "learning assisted automated reasoning with flyspeck"

Connected through hyperedge HE-4 (induced by source paper "extending e prover with similarity based clause selection strategies"):
  with members:
    - "premise selection for mathematics by corpus analysis and kernel methods"

Connected through hyperedge HE-5 (induced by source paper "mizar 40 for mizar 40"):
  with members:
    - "premise selection for mathematics by corpus analysis and kernel methods"
    - "machine learner for automated reasoning 0 4 and 0 5"
    - "hol y hammer online atp service for hol light"
    - "theorem proving in large formal mathematics as an emerging ai field"
    - "learning assisted automated reasoning with flyspeck"
    - "atp and presentation service for mizar formalizations"

Connected through hyperedge HE-6 (induced by source paper "premise selection and external provers for hol4"):
  with members:
    - "encoding monomorphic and polymorphic types"
    - "mizar 40 for mizar 40"
    - "matching concepts across hol libraries"
    - "hol y hammer online atp service for hol light"
    - "learning assisted automated reasoning with flyspeck"

Connected through hyperedge HE-7 (induced by source paper "initial experiments with tptp style automated theorem provers on acl2 problems"):
  with members:
    - "encoding monomorphic and polymorphic types"
    - "mizar 40 for mizar 40"
    - "premise selection for mathematics by corpus analysis and kernel methods"
    - "machine learner for automated reasoning 0 4 and 0 5"
    - "hol y hammer online atp service for hol light"
    - "theorem proving in large formal mathematics as an emerging ai field"
    - "learning assisted automated reasoning with flyspeck"
    - "atp and presentation service for mizar formalizations"

Connected through hyperedge HE-8 (induced by source paper "learning assisted theorem proving with millions of lemmas"):
  with members:
    - "mizar 40 for mizar 40"
    - "premise selection for mathematics by corpus analysis and kernel methods"
    - "machine learner for automated reasoning 0 4 and 0 5"
    - "lemma mining over hol light"
    - "hol y hammer online atp service for hol light"
    - "theorem proving in large formal mathematics as an emerging ai field"
    - "learning assisted automated reasoning with flyspeck"
    - "atp and presentation service for mizar formalizations"

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)