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: "a description logic primer"
  Abstract: This paper provides a self-contained first introduction to d escription log- ics (DLs). The main concepts and features are explained with examples before syn- tax and semantics of the DLSROIQ are defined in detail. Additional sections review light-weight DL languages, discuss the relationship to the Web Ontology Language OWL and give pointers to further reading.

Connected through hyperedge HE-1 (induced by source paper "on the manipulation of articulated objects in human robot cooperation scenarios"):
  with members:
    - "goal inference improves objective and perceived performance in human robot collaboration"
    - "combining self supervised learning and imitation for vision based rope manipulation"
    - "ai challenges in human robot cognitive teaming"
    - "flexible human robot cooperation models for assisted shop floor tasks"
    - "modelling mixed discrete continuous domains for planning"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the symbol grounding problem"

Connected through hyperedge HE-2 (induced by source paper "knowledge representation in bicategories of relations"):
  with members:
    - "lecture notes on the lambda calculus"
    - "globular an online proof assistant for higher dimensional rewriting"
    - "lecture notes on spectral graph methods"
    - "towards 3 dimensional rewriting theory"

Connected through hyperedge HE-3 (induced by source paper "descriptions of objectives and processes of mechanical learning"):
  with members:
    - "discussion on mechanical learning and learning machine"

Connected through hyperedge HE-4 (induced by source paper "towards a new paradigm for assistive technology at home research challenges design issues and performance assessment"):
  with members:
    - "a ros multi ontology references services owl reasoners and application prototyping issues"

Connected through hyperedge HE-5 (induced by source paper "semantic reasoning for context aware internet of things applications"):
  with members:
    - "a gap analysis of internet of things platforms"
    - "distributed reasoning in a peer to peer setting application to the semantic web"

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)