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 "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"):
  Abstract: Information about user preferences plays a key role in automated decision making. In many domains it is desirable to assess such preferences in a qualitative rather than quantitative way. In this paper, we propose a qualitative graphical representation of preferences that reflects conditional dependence and independence of preference statements under a ceteris paribus (all else being equal) interpretation. Such a representation is often compact and arguably quite natural in many circumstances. We provide a formal semantics for this model, and describe how the structure of the network can be exploited in several inference tasks, such as determining whether one outcome dominates (is preferred to) another, ordering a set outcomes according to the preference relation, and constructing the best outcome subject to available evidence.

Includes members:
  Member "graphical models for preference and utility":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "axiomatization of an importance index for k ary games")
  Member "utility elicitation as a classification problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "local utility elicitation in gai models")
  Member "expected utility networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "directed expected utility networks")
  Member "ucp networks a directed graphical representation of conditional utilities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "gradient based optimization for bayesian preference elicitation")
  Member "conditional utility utility independence and utility networks":
    also connected through other hyperedges:
      (none)
  Member "reasoning about soft constraints and conditional preferences complexity results and approximation techniques":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "rank pruning for dominance queries in cp nets")
  Member "structure and complexity in planning with unary operators":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a complete parameterized complexity analysis of bounded planning")

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)