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: "introducing variable importance tradeoffs into cp nets"
  Abstract: The ability to make decisions and to assess potential courses of action is a corner-stone of many AI applications, and usually this requires explicit information about the decision-maker s preferences. IN many applications, preference elicitation IS a serious bottleneck.The USER either does NOT have the time, the knowledge, OR the expert support required TO specify complex multi - attribute utility functions. IN such cases, a method that IS based ON intuitive, yet expressive, preference statements IS required. IN this paper we suggest the USE OF TCP - nets, an enhancement OF CP - nets, AS a tool FOR representing, AND reasoning about qualitative preference statements.We present AND motivate this framework, define its semantics, AND show how it can be used TO perform constrained optimization.

Connected through hyperedge HE-1 (induced by source paper "an approach to decision making based on dynamic argumentation systems"):
  with members:
    - "defeasible logic programming an argumentative approach"

Connected through hyperedge HE-2 (induced by source paper "compact value function representations for qualitative preferences"):
  with members:
    - "graphical models for preference and utility"
    - "ucp networks a directed graphical representation of conditional utilities"
    - "reasoning about soft constraints and conditional preferences complexity results and approximation techniques"
    - "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"

Connected through hyperedge HE-3 (induced by source paper "preference elicitation in prioritized skyline queries"):
  with members:
    - "preference based search using example critiquing with suggestions"
    - "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"
    - "optimal aggregation algorithms for middleware"

Connected through hyperedge HE-4 (induced by source paper "the computational complexity of dominance and consistency in cp nets"):
  with members:
    - "reasoning about soft constraints and conditional preferences complexity results and approximation techniques"
    - "on graphical modeling of preference and importance"
    - "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"
    - "structure and complexity in planning with unary operators"

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)