Frontend
Go-Go-Go: the game of Go without turns
arXiv cs.HC0 views
arXiv:2611.06786v1 Announce Type: new Abstract: The study of variants of classic games has a long history, with chess alone inspiring countless variants that have been proposed, analyzed, and studied. The game of Go, despite rivaling chess in age, cultural relevance, popularity, and strategic depth, has seen drastically fewer variants. We introduce Go-Go-Go, a variant of the classic game of Go where there are no turns, and players play stones simultaneously and asynchronously on the board. The variant (which is to be played through a computer) includes a basic mechanism to avoid excessive spamming of moves, by imposing a minimal delay between moves that depends on their relative spatial distance. Apart from the lack of time discretization, most of the ruleset of the original game is either directly maintained or adapted in a natural way that preserves the original spirit. The first playtesting indicates that this results in the preservation of much of the emerging strategies and "flavor" of Go, while replacing the long strategic reasoning with fast paced, instinctive action fueled by quick reflexes. Play testers also report the need to balance immediate but suboptimal reactions with more reasoned but slower plays. We offer a publicly available, playable, OpenSource, and online reference implementation of Go-Go-Go at http://gogogo.di.unimi.it
Source:https://arxiv.org/abs/2611.06786PreviousSmartphone-Aided VR Exergames for HIIT: Gamifying Fitness with Real-Time Pose EstimationNextA Frame-Level View and Image-Quality Annotation Tool for Fetal Echocardiography: Comparison with Spreadsheet Annotation
Related posts
Concentration of bounded sparse chaoses and sparse Khatri--Rao embeddings
0arXiv stat.TH
ISAC-Assisted Proactive Handover in mmWave Networks: Value of Foresight and Localization Requirements
0arXiv eess.SY
Frequency-Frame Covariance for Reactive-Power Scalarization
0arXiv cs.SY
Conditions for Normality of Pontryagin's Maximum Principle in the Absence of State Constraints
0arXiv cs.SY
Towards the Query Complexity of Sampling under Strong Log-Concavity and Log-Sobolev Inequalities
0arXiv stat.ML
Generalized Hyperrectangular Prediction Sets in Multivariate Conformal Prediction
0arXiv stat.ML