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: "efficiency theory a unifying theory for information computation and intelligence"
  Abstract: AbstractThe paper serves as the first contribution towards the development of the theory of efficiency: a unifying framework for the currently disjoint theories of information, complexity, communication and computation. Realizing the defining nature of the brute force approach in the fundamental concepts in all of the above mentioned fields, the paper suggests using efficiency or improvement over the brute force algorithm as a common unifying factor necessary for the creation of a unified theory of information manipulation. By defining such diverse terms as randomness, knowledge, intelligence and computability in terms of a common denominator we are able to bring together contributions from Shannon, Levin, Kolmogorov, Solomonoff, Chaitin, Yao and many others under a common umbrella of the efficiency theory.

Connected through hyperedge HE-1 (induced by source paper "unexplainability and incomprehensibility of artificial intelligence"):
  with members:
    - "automated rationale generation a technique for explainable ai and its effects on human perceptions"
    - "personal universes a solution to the multi agent value alignment problem"
    - "explaining explanations in ai"
    - "unmasking clever hans predictors and assessing what machines really learn"
    - "unpredictability of ai"
    - "techniques for interpretable machine learning"
    - "emergence of addictive behaviors in reinforcement learning agents"
    - "building safer agi by introducing artificial stupidity"

Connected through hyperedge HE-2 (induced by source paper "personal universes a solution to the multi agent value alignment problem"):
  with members:
    - "the malicious use of artificial intelligence forecasting prevention and mitigation"
    - "ai safety and reproducibility establishing robust foundations for the neuropsychology of human values"
    - "agi safety literature review"
    - "uploading brain into computer whom to upload first"
    - "categorizing variants of goodhart s law"
    - "building safer agi by introducing artificial stupidity"
    - "mimetic vs anchored value alignment in artificial intelligence"
    - "on the origin of synthetic life attribution of output to a particular algorithm"

Connected through hyperedge HE-3 (induced by source paper "on the origin of synthetic life attribution of output to a particular algorithm"):
  with members:
    - "when coding style survives compilation de anonymizing programmers from executable binaries"
    - "the agi containment problem"
    - "taxonomy of pathways to dangerous ai"
    - "the universe of minds"
    - "a philosophical treatise of universal induction"
    - "the physical world as a virtual reality"
    - "universal intelligence a definition of machine intelligence"

Connected through hyperedge HE-4 (induced by source paper "artificial intelligence safety and cybersecurity a timeline of ai failures"):
  with members:
    - "on the origin of synthetic life attribution of output to a particular algorithm"
    - "verifier theory from axioms to unverifiability of mathematical proofs software and ai"
    - "concrete problems in ai safety"
    - "the agi containment problem"
    - "unethical research how to create a malevolent artificial intelligence"
    - "intriguing properties of neural networks"

Connected through hyperedge HE-5 (induced by source paper "the universe of minds"):
  with members:
    - "construction of an np problem with an exponential lower bound"
    - "universal intelligence a definition of machine intelligence"
    - "is there an elegant universal theory of prediction"

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.CC(Computational Complexity)