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 "plausibility and probability in deductive reasoning"):
  Abstract: We consider the problem of rational uncertainty about unproven mathematical statements, which Godel and others have remarked on. Using Bayesian-inspired arguments we build a normative model of fair bets under deductive uncertainty which draws from both probability and the theory of algorithms. We comment on connections to Zeilberger's notion of "semi-rigorous proofs", particularly that inherent subjectivity would be present. We also discuss a financial view, with models of arbitrage where traders have limited computational resources.

Includes members:
  Member "a nearly tight sum of squares lower bound for the planted clique problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "broadcast congested clique planted cliques and pseudorandom generators")
  Member "optimal polynomial time estimators a bayesian notion of approximation algorithm":
    also connected through other hyperedges:
      (none)
  Member "toward idealized decision theory":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "toward negotiable reinforcement learning shifting priorities in pareto optimal sequential decision making")
  Member "algorithmic rationality game theory with costly computation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sok tools for game theoretic models of security for cryptocurrencies")
  Member "bounding rationality by discounting time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the implications of lookahead search in game playing")
  Member "dealing with logical omniscience expressiveness and pragmatics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on learning to prove")
  Member "average case complexity":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "constructing concrete hard instances of the maximum independent set problem")

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)