arXiv · 2112.02989
On the complexity of Dark Chinese Chess
Abstract
This paper provides a complexity analysis for the game of dark Chinese chess (a.k.a. "JieQi"), a variation of Chinese chess. Dark Chinese chess combines some of the most complicated aspects of board and card games, such as long-term strategy or planning, large state space, stochastic, and imperfect-information, which make it closer to the real world decision-making problem and pose great challenges to game AI. Here we design a self-play program to calculate the game tree complexity and average information set size of the game, and propose an algorithm to calculate the number of information sets.
Explore related subjects
Keep this discovery
Cong Wang, Tongwei Lu. 2021-12-06. On the complexity of Dark Chinese Chess. https://arxiv.org/abs/2112.02989
Cite the original work for its findings. Save a collection to share your selection of sources.