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: "from cognitive binary logic to cognitive intelligent agents"
  Abstract: The relation between self awareness and intelligence is an open problem these days. Despite the fact that self awarness is usually related to Emotional Intelligence, this is not the case here. The problem described in this paper is how to model an agent which knows (Cognitive) Binary Logic and which is also able to pass (without any mistake) a certain family of Turing Tests designed to verify its knowledge and its discourse about the modal states of truth corresponding to well-formed formulae within the language of Propositional Binary Logic.

Connected through hyperedge HE-1 (induced by source paper "sensitive ants for denial jamming attack on wireless sensor network"):
  with members:
    - "sensor networks security based on sensitive robots agents a conceptual model"

Connected through hyperedge HE-2 (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"
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "iris codes classification using discriminant and witness directions"
    - "handwritten farsi character recognition using artificial neural network"

Connected through hyperedge HE-3 (induced by source paper "combined haar hilbert and log gabor based iris encoders"):
  with members:
    - "8 valent fuzzy logic for iris recognition and biometry"
    - "iris codes classification using discriminant and witness directions"
    - "exploratory simulation of an intelligent iris verifier distributed system"
    - "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 "exploratory simulation of an intelligent iris verifier distributed system"):
  with members:
    - "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)