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: "Finding optimal solutions to cooperative pathfinding problems"
  Abstract: In cooperative pathfinding problems, non-interfering paths that bring each agent from its current state to its goal state must be planned for multiple agents. We present the first practical, admissible, and complete algorithm for solving problems of this kind. First, we propose a technique called operator decomposition, which can be used to reduce the branching factors of many search algorithms, including algorithms for cooperative pathfinding. We then show how a type of independence common in instances of cooperative pathfinding problems can be exploited. Next, we take the idea of exploiting independent subproblems further by adding improvements that allow the algorithm to recognize many more cases of such independence. Finally, we show empirically that these techniques drastically improve the performance of the standard admissible algorithm for the cooperative pathfinding problem, and that their combination results in a complete algorithm capable of optimally solving relatively large problems in milliseconds.

Connected through hyperedge HE-1 (induced by source paper "MAPP: a scalable multi-agent path planning algorithm with tractability and completeness guarantees"):
  with members:
    - "Simple Direct Propositional Encoding of Cooperative Path Finding Simplified Yet More"

Connected through hyperedge HE-2 (induced by source paper "PSPACE-completeness of sliding-block puzzles and other problems through the nondeterministic constraint logic model of computation"):
  with members:
    - "Limits of Rush Hour Logic Complexity"

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