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: "a computational theory of subjective probability"
  Abstract: In this article we demonstrate how algorithmic probability theory#R##N#is applied to situations that involve uncertainty. When people#R##N#are unsure of their model of reality, then the outcome they#R##N#observe will cause them to update their beliefs. We argue that#R##N#classical probability cannot be applied in such cases, and that#R##N#subjective probability must instead be used. In Experiment 1#R##N#we show that, when judging the probability of lottery number#R##N#sequences, people apply subjective rather than classical probability.#R##N#In Experiment 2 we examine the conjunction fallacy and#R##N#demonstrate that the materials used by Tverksy and Kahneman#R##N#(1983) involve model uncertainty. We then provide a formal#R##N#mathematical proof that, for every uncertain model, there#R##N#exists a conjunction of outcomes which is more subjectively#R##N#probable than either of its constituents in isolation.

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)