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: "eca ruleml an approach combining eca rules with temporal interval based kr event action logics and transactional update logics"
  Abstract: An important problem to be addressed within Event-Driven Architecture (EDA) is how to correctly and efficiently capture and process the event/action-based logic. This paper endeavors to bridge the gap between the Knowledge Representation (KR) approaches based on durable events/actions and such formalisms as event calculus, on one hand, and event-condition-action (ECA) reaction rules extending the approach of active databases that view events as instantaneous occurrences and/or sequences of events, on the other. We propose formalism based on reaction rules (ECA rules) and a novel interval-based event logic and present concrete RuleML-based syntax, semantics and implementation. We further evaluate this approach theoretically, experimentally and on an example derived from common industry use cases and illustrate its benefits.

Connected through hyperedge HE-1 (induced by source paper "online event recognition from moving vehicles application paper"):
  with members:
    - "semi supervised online structure learning for composite event recognition"
    - "probabilistic complex event recognition a survey"
    - "online event recognition from moving vessel trajectories"
    - "knowledge representation concepts for automated sla management"

Connected through hyperedge HE-2 (induced by source paper "probabilistic complex event recognition a survey"):
  with members:
    - "going deeper into action recognition a survey"
    - "inference and learning in probabilistic logic programs using weighted boolean formulas"
    - "a probabilistic logic programming event calculus"
    - "lifted relational neural networks"
    - "complex events recognition under uncertainty in a sensor network"
    - "relational bayesian networks"
    - "location based reasoning about complex multi agent behavior"
    - "a model for reasoning with uncertain rules in event composition systems"

Connected through hyperedge HE-3 (induced by source paper "online event recognition from moving vessel trajectories"):
  with members:
    - "incremental learning of event definitions with inductive logic programming"
    - "probabilistic event calculus for event recognition"

Connected through hyperedge HE-4 (induced by source paper "a probabilistic logic programming event calculus"):
  with members:
    - "location based reasoning about complex multi agent behavior"
    - "inference in probabilistic logic programs using weighted cnf s"
    - "on the implementation of the probabilistic logic programming language problog"
    - "a logic programming approach to activity recognition"
    - "knowledge representation concepts for automated sla management"
    - "grounding the lexical semantics of verbs in visual perception using force dynamics and event logic"

Connected through hyperedge HE-5 (induced by source paper "a logic programming approach to activity recognition"):
  with members:
    - "a homogeneous reaction rule language for complex event processing"
    - "knowledge representation concepts for automated sla management"

Connected through hyperedge HE-6 (induced by source paper "knowledge representation concepts for automated sla management"):
  with members:
    - "a homogeneous reaction rule language for complex event processing"
    - "eca lp eca ruleml a homogeneous event condition action logic programming language"
    - "verification validation and integrity of distributed and interchanged rule based policies and contracts in the semantic web"
    - "a typed hybrid description logic programming language with polymorphic order sorted dl typed unification for semantic web type systems"
    - "representation results for defeasible logic"
    - "modelling legal contracts as processes"

Connected through hyperedge HE-7 (induced by source paper "the reaction ruleml classification of the event action state processing and reasoning space"):
  with members:
    - "xpath logic and xpathlog a logic programming style xml data manipulation language"
    - "declarative semantics for active rules"

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)