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 model for combination of external and internal stimuli in the action selection of an autonomous agent"
  Abstract: This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the proposed model, allows to regulate the degree of dependence of the observed external behaviour from the internal states of the entity.

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:
    - "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"
    - "thinking adaptive towards a behaviours virtual laboratory"

Connected through hyperedge HE-2 (induced by source paper "integration of computational techniques for the modelling of signal transduction"):
  with members:
    - "action selection properties in a software simulated agent"
    - "thinking adaptive towards a behaviours virtual laboratory"
    - "modelling intracellular signalling networks using behaviour based systems and the blackboard architecture"

Connected through hyperedge HE-3 (induced by source paper "modelling intracellular signalling networks using behaviour based systems and the blackboard architecture"):
  with members:
    - "action selection properties in a software simulated agent"
    - "thinking adaptive towards a behaviours virtual laboratory"

Connected through hyperedge HE-4 (induced by source paper "dynamic adjustment of the motivation degree in an action selection mechanism"):
  with members:
    - "action selection properties in a software simulated agent"

Connected through hyperedge HE-5 (induced by source paper "thinking adaptive towards a behaviours virtual laboratory"):
  with members:
    - "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)