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: "domain dependent knowledge in answer set planning"
  Abstract: In this paper we consider three different kinds of domain-dependent control knowledge (temporal, procedural and HTN-based) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (AnsProlog*). AnsProlog* is designed to plan without control knowledge. We show how temporal, procedural and HTN-based control knowledge can be incorporated into AnsProlog* by the modular addition of a small number of domain-dependent rules, without the need to modify the planner. We formally prove the correctness of our planner, both in the absence and presence of the control knowledge. Finally, we perform some initial experimentation that demonstrates the potential reduction in planning time that can be achieved when procedural domain knowledge is used to solve planning problems with large plan length.

Connected through hyperedge HE-1 (induced by source paper "implementing dynamic answer set programming"):
  with members:
    - "temporal answer set programming on finite traces"
    - "experimenting with robotic intra logistics domains"
    - "reasoning about actions with temporal answer sets"
    - "propositional theories are strongly equivalent to logic programs"

Connected through hyperedge HE-2 (induced by source paper "plasp 3 towards effective asp planning"):
  with members:
    - "clingo asp control preliminary report"
    - "the fast downward planning system"
    - "towards automated integration of guess and check programs in answer set programming a meta interpreter and applications"

Connected through hyperedge HE-3 (induced by source paper "reasoning about actions with temporal answer sets"):
  with members:
    - "the dlv system for knowledge representation and reasoning"
    - "planning with preferences using logic programming"
    - "bounded ltl model checking with stable models"
    - "diagnostic reasoning with a prolog"
    - "a logic programming approach to knowledge state planning ii the dlv k system"

Connected through hyperedge HE-4 (induced by source paper "bridging the gap between reinforcement learning and knowledge representation a logical off and on policy framework"):
  with members:
    - "probabilistic reasoning about actions in nonmonotonic causal theories"
    - "decision theoretic planning structural assumptions and computational leverage"
    - "the computational complexity of probabilistic planning"
    - "reinforcement learning a survey"

Connected through hyperedge HE-5 (induced by source paper "logic programming for finding models in the logics of knowledge and its applications a case study"):
  with members:
    - "bounded ltl model checking with stable models"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-6 (induced by source paper "reasoning and planning with sensing actions incomplete information and static causal laws using answer set programming"):
  with members:
    - "planning graph heuristics for belief space search"
    - "a logic programming approach to knowledge state planning ii the dlv k system"
    - "the ff planning system fast plan generation through heuristic search"
    - "conformant planning via symbolic model checking"
    - "constructing conditional plans by a theorem prover"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-7 (induced by source paper "planning with preferences using logic programming"):
  with members:
    - "the dlv system for knowledge representation and reasoning"
    - "answer set planning under action costs"
    - "a framework for compiling preferences in logic programs"
    - "conformant planning via symbolic model checking"

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)