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 "machine learning when and where the horses went astray"):
  Abstract: Machine Learning is usually defined as a subfield of AI, which is busy with information extraction from raw data sets. Despite of its common acceptance and widespread recognition, this definition is wrong and groundless. Meaningful information does not belong to the data that bear it. It belongs to the observers of the data and it is a shared agreement and a convention among them. Therefore, this private information cannot be extracted from the data by any means. Therefore, all further attempts of Machine Learning apologists to justify their funny business are inappropriate.

Includes members:
  Member "unveiling the mystery of visual information processing in human brain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "designing artificial cognitive architectures brain inspired or biologically inspired")
  Member "algorithmic information theory":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the measure of intelligence")
  Member "commonsense knowledge ontology and ordinary language":
    also connected through other hyperedges:
      (none)
  Member "algorithmic information theory a brief non technical guide to the field":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a philosophical treatise of universal induction")
  Member "in quest of image semantics are we looking for it under the right lamppost":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "unveiling the mystery of visual information processing in human brain")
  Member "top down unsupervised image segmentation it sounds like oxymoron but actually it is not":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "let us first agree on what the term semantics means an unorthodox approach to an age old debate")
  Member "searching for image information content its discovery extraction and representation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "let us first agree on what the term semantics means an unorthodox approach to an age old debate")
  Member "does a plane imitate a bird does computer vision have to follow biological paradigms":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "not only a lack of right definitions arguments for a shift in information processing paradigm")

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)