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: "8 valent fuzzy logic for iris recognition and biometry"
  Abstract: This paper shows that maintaining logical consistency of an iris recognition system is a matter of finding a suitable partitioning of the input space in enrollable and unenrollable pairs by negotiating the user comfort and the safety of the biometric system. In other words, consistent enrollment is mandatory in order to preserve system consistency. A fuzzy 3-valent disambiguated model of iris recognition is proposed and analyzed in terms of completeness, consistency, user comfort and biometric safety. It is also shown here that the fuzzy 3-valent model of iris recognition is hosted by an 8-valent Boolean algebra of modulo 8 integers that represents the computational formalization in which a biometric system (a software agent) can achieve the artificial understanding of iris recognition in a logically consistent manner.

Connected through hyperedge HE-1 (induced by source paper "examples of artificial perceptions in optical character recognition and iris recognition"):
  with members:
    - "combined haar hilbert and log gabor based iris encoders"
    - "noise influence on the fuzzy linguistic partitioning of iris code space"
    - "iris codes classification using discriminant and witness directions"
    - "from cognitive binary logic to cognitive intelligent agents"
    - "handwritten farsi character recognition using artificial neural network"

Connected through hyperedge HE-2 (induced by source paper "combined haar hilbert and log gabor based iris encoders"):
  with members:
    - "iris codes classification using discriminant and witness directions"
    - "exploratory simulation of an intelligent iris verifier distributed system"
    - "from cognitive binary logic to cognitive intelligent agents"
    - "comparing haar hilbert and log gabor based iris encoders on bath iris image database"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-3 (induced by source paper "the biometric menagerie a fuzzy and inconsistent concept"):
  with members:
    - "combined haar hilbert and log gabor based iris encoders"
    - "iris codes classification using discriminant and witness directions"
    - "comparing haar hilbert and log gabor based iris encoders on bath iris image database"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-4 (induced by source paper "noise influence on the fuzzy linguistic partitioning of iris code space"):
  with members:
    - "combined haar hilbert and log gabor based iris encoders"
    - "iris codes classification using discriminant and witness directions"
    - "comparing haar hilbert and log gabor based iris encoders on bath iris image database"
    - "exploring new directions in iris recognition"

Connected through hyperedge HE-5 (induced by source paper "iris codes classification using discriminant and witness directions"):
  with members:
    - "exploratory simulation of an intelligent iris verifier distributed system"
    - "comparing haar hilbert and log gabor based iris encoders on bath iris image database"

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)