human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Measuring Inconsistencies in Ontologies"
  Abstract: In this paper, we propose a novel approach to measure inconsistencies in ontologies based on Shapley values, which are originally proposed for game theory. This measure can be used to identify which axioms in an input ontology or which parts of these axioms need to be removed or modified in order to make the input consistent. We also propose optimization techniques to improve the efficiency of computing Shapley values. The proposed approach is independent of a particular ontology language or a particular reasoning system used. Application of this approach can improve the quality of ontology diagnosis and repair in general.

Connected through hyperedge HE-1 (induced by source paper "Measuring Inconsistency in DL-Lite Ontologies"):
  with members:
    - "Measuring incompleteness under multi-valued semantics by partial MaxSAT solvers"

Connected through hyperedge HE-2 (induced by source paper "Computing shapley values, manipulating value division schemes, and checking core membership in multi-issue domains"):
  with members:
    - "Universal voting protocol tweaks to make manipulation hard"
    - "A linear approximation method for the Shapley value"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science