We propose a new General Game Playing (GGP) system called Regular Games (RG). The main goal of RG is to be both computationally efficient and convenient for game design. The system consists of several languages. The core component is a low-level language that defines the rules by a finite automaton. It is minimal with only a few mechanisms, which makes it easy for automatic processing (by agents, analysis, optimization, etc.). The language is universal for the class of all finite turn-based games with imperfect information. Higher-level languages are introduced for game design (by humans or Procedural Content Generation), which are eventually translated to a low-level language. RG generates faster forward models than the current state of the art, beating other GGP systems (Regular Boardgames, Ludii) in terms of efficiency. Additionally, RG's ecosystem includes an editor with LSP, automaton visualization, benchmarking tools, and a debugger of game description transformations.

It's the year 2023, so anything that can get an injection of AI will get an injection of AI. However, I doubt many people had the board game Pictionary on their artificial intelligence bingo card. Mattel just surprised us all and announced a new version of the game, Pictionary Vs. It's the brand's first title to "incorporate AI technology" and marks the company's "first major leap into the category." The difference between this and traditional Pictionary is that here everyone works to stump the artificial intelligence, instead of each other.