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: "selfishness as the most probable selection for higher efficiency"
  Abstract: We develop a two-defender (Alice and Bob) invasion game using the method of projective simulation. The agent, say Alice, encounters attack' symbols coming from the right attacker where she can learn to prevent. However, some of these signs are invisible for her. Instead, she perceives some other signs that are related to Bob's task. We elaborate an example in which an agent perceives an equal portion of percepts from both attackers. Alice can choose to concentrate on her job, though she loses some attacks. Alternatively, she can have some collaboration with Bob to get and give help. It is concluded that the maximum blocking efficiency in concentration is just the minimum blocking efficiency in collaboration. Furthermore, Alice has a choice to select two different forgetting factors for her task or helping. Therefore, she can choose between herself and the other. As the main result, we conclude that if Alice selects to be selfish, she probably earns more blocking in her task and also, higher efficiency in collective blocking, regardless of Bob's selection. In addition, it turns out that when the selection of both partners is selfishness, it is the highest justice on sharing individual efficiency and it is a maximum in collective blocking efficiency too. Finally, we propose some other questions that can be tracked regarding the present study.

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)