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: "probabilistic algorithmic knowledge"
  Abstract: The framework of algorithmic knowledge assumes that agents use deterministic#N#knowledge algorithms to compute the facts they explicitly know. We extend the#N#framework to allow for randomized knowledge algorithms. We then characterize#N#the information provided by a randomized knowledge algorithm when its answers#N#have some probability of being incorrect. We formalize this information in#N#terms of evidence; a randomized knowledge algorithm returning ``Yes'' to a#N#query about a fact \phi provides evidence for \phi being true. Finally, we#N#discuss the extent to which this evidence can be used as a basis for decisions.

Connected through hyperedge HE-1 (induced by source paper "a logic for reasoning about evidence"):
  with members:
    - "evidence with uncertain likelihoods"

Connected through hyperedge HE-2 (induced by source paper "evidence with uncertain likelihoods"):
  with members:
    - "a logic for reasoning about evidence"

Connected through hyperedge HE-3 (induced by source paper "interactions between knowledge and time in a first order logic for multi agent systems completeness results"):
  with members:
    - "deliberation and its role in the formation of intentions"
    - "monodic temporal resolution"
    - "complete axiomatizations for reasoning about knowledge and time"

Connected through hyperedge HE-4 (induced by source paper "modeling adversaries in a logic for security protocol analysis"):
  with members:
    - "deductive algorithmic knowledge"
    - "on the relationship between strand spaces and multi agent systems"

Connected through hyperedge HE-5 (induced by source paper "deductive algorithmic knowledge"):
  with members:
    - "on a theory of probabilistic deductive databases"
    - "probabilistic deduction with conditional constraints over basic events"

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)