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: "thinking adaptive towards a behaviours virtual laboratory"
  Abstract: In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate the properties of our proposal, which can be accessed via Internet.

Connected through hyperedge HE-1 (induced by source paper "a comparison of different cognitive paradigms using simple animats in a virtual laboratory with implications to the notion of cognition"):
  with members:
    - "a model for combination of external and internal stimuli in the action selection of an autonomous agent"
    - "behaviour based knowledge systems an epigenetic path from behaviour to knowledge"
    - "classification of random boolean networks"
    - "adaptive development of koncepts in virtual animats insights into the development of knowledge"
    - "dynamic adjustment of the motivation degree in an action selection mechanism"

Connected through hyperedge HE-2 (induced by source paper "integration of computational techniques for the modelling of signal transduction"):
  with members:
    - "a model for combination of external and internal stimuli in the action selection of an autonomous agent"
    - "action selection properties in a software simulated agent"
    - "modelling intracellular signalling networks using behaviour based systems and the blackboard architecture"

Connected through hyperedge HE-3 (induced by source paper "adaptive development of koncepts in virtual animats insights into the development of knowledge"):
  with members:
    - "dynamic adjustment of the motivation degree in an action selection mechanism"
    - "the symbol grounding problem"

Connected through hyperedge HE-4 (induced by source paper "modelling intracellular signalling networks using behaviour based systems and the blackboard architecture"):
  with members:
    - "a model for combination of external and internal stimuli in the action selection of an autonomous agent"
    - "action selection properties in a software simulated agent"

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)