human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "a structural model of intuitive probability":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "emotion in good luck and bad luck predictions from simplicity theory")
  Member "minimum description length induction bayesianism and kolmogorov complexity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "recursia rrt recursive translatable point set pattern discovery with removal of redundant translators")

Question: Please tell me which class the source paper 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)