Human or AI? We study collective behavior in these environments.

Mission

Our mission is to introduce new game mechanics into scientific circulation and commercial products, demonstrating the mechanisms of collective intelligence in various environments: AI-AI, AI-Human,

and Human-Human.

This requires solving three problems:

• Promoting the game as a modern complement to classic games like Chess and Go through the publication of versions in entertainment, sports, and education.

• Incorporating game mechanics as a tool in university and corporate research on cognitive processes related to collective behavior and intuitive thinking.

• Using the game as a platform for the development of artificial intelligence technologies, including the creation of unique datasets necessary for training and developing behavioral algorithms applicable to mixed groups consisting of AI agents and humans.

The main application of the game is the study of the mechanism of the collective unconscious (according to Carl Jung) through game mechanics,

Dr, Bronn, Inventor

What are people saying about the game?

Alexander Duwdeny, Editor, «Scientific American», USA

Dear Vladimir, thank you very much for the copy of your game, CTOR. I find it very useful for popularizing mathematical biology and developing players' thought processes at various levels of the game's rules. I'm sure it could be a very interesting article in our journal.

Stephan Wolfram, Wolfram Research, USA

Alexander Duwdeny, Editor, «Scientific American», USA

Vladimir, I'd be interested in seeing a team version of CTOR. It's an unexplored area of gaming.

Erno Rubik, Hungary

Alexander Duwdeny, Editor, «Scientific American», USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Vladimir, your game is wonderful and has great potential. I wish you success and hope you achieve it!

Ilia Rybak, Professor neurobiology, Drexel University, USA

I've known Vlad for many years, and I'm impressed by his persistence and determination, as well as his efforts to develop CTOR, whose potential extends far beyond a simple game. CTOR is a fascinating and exciting tool for developing, implementing, and analyzing various systems of individual and collective thinking. No one knows how this story will end, but it's always worth trying something new, especially if it's created by your own brain.

Alexey Pajitnov, Creator Tetris, USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Daniel Frenkel, CEO, Math for Love, Germany

In my opinion, the game is too complex. It's hard to do anything about it, since interesting strategies in simple environments (on small boards, with primitive rules) rarely, if ever, work. Nevertheless, I'm sure a certain circle of fans of your game has formed and continues to grow.

Daniel Frenkel, CEO, Math for Love, Germany

Ilia Rybak, Professor neurobiology, Drexel University, USA

Daniel Frenkel, CEO, Math for Love, Germany

The game has great potential. Despite not very complicated rules, picking up successful tricks is not easy. CTOR can be compared with the most complex game of Go (Weizi, Baduk, I-go), but CTOR has an additional dynamic component that minimizes the role of blanks. And then CTOR - it is not modeled on computers like Chess, Go or checkers of all kinds. Therefore, to all lovers of a fair game without engines - I recommend CTOR

AI vs AI * Team vs Team * AI vs Human

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Lovable App

School course: "Creative and Memory" at Discovery Academy. Canada. Testing collective intelligence in teams of three players.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

https://www.youtube.com/watch?v=WfrPuPsA6v4&list=PLGzY98ucuYxhh0E9pTS-NpaHlWMPgBIqV&index=2

Play against the AI bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Play against the AI bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.

Lovable App

R&D GitHub repository

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

https://github.com/CTOR-Labs/CTOR-H-AI

This section contains materials on the development of the team-on-team version of the game. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

https://github.com/CTOR-Labs/CTOR-TEAM-TEAM

This section contains materials on tournaments between AI bots. Free for Universities. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on tournaments between AI bots. Free for Universities. Feel free to join in!

https://github.com/CTOR-Labs/CTOR-AI-AI

We appreciate your support!

Choose your role in the CTOR community:

1. Friend — help us promote the game on your social platforms and volunteer at official events.

2. Gamer — play on board or online, gain experience, and join tournaments.

3. Ambassador — organize CTOR competitions in your country, city, or community. We provide support and a dedicated page.

4. Sponsor — support our non‑profit project and help expand the game worldwide.

5. Partner — publish CTOR in your country (board game or digital version).

CTOR GAME Inc.

History of the CTOR game

Discover CTOR's

1988- The first 100,000 board games were released and played by over 500,000 people. Competitions were held in clubs across Russia.2011 - The first algorithms for playing against the computer have been implemented (R&D).

2015 - The first version of the team game on the Azure platform. The first experiments on collective thinking were conducted.

2018-The game has been localized into English and French. Premium editions have been released in Canada and a tournament of teams from five countries.

2019-The first official competitions were held: the Canadian Championship.

2021-A successful Kickstarter campaign and the release of the game Torus, a children's edition.(Canada) independent publisher Analog Game Studio.

2026-First AI platform have been developed for AI bots tournaments for UofT.(MVP).

Useful links. First Championship. Review from a guru/rule.

First Championship Canada in individual mode 2019

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

First Championship Team vs Team 2018

https://www.youtube.com/watch?v=YEzelLxUjSk&list=PLGzY98ucuYxirvixf8jYE4gtJT8Kw_KWN&index=3

First Championship Team vs Team 2018

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

First Championship Team vs Team 2018

Brain Game Night, CTOR GAME Inc. Dec 4, 2018 Toronto, Canada (1 min.) - YouTube

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

Review, history and Rules.

CTOR! A fascinating abstract strategy game from Russia that "folds space".

Where to buy a board game?

Premium edition (Eng. French)

Torus edition for children (Eng. French).

Canada/USA

CTOR: Premium Edition | Solo, 2-Player & Advanced Team Play

USA

CTOR Abstract Strategy Game Torus Dr Vladimir Bronn – NewVenture Games

Torus edition for children (Eng. French).

Torus | Strategy Game With No Borders | Analog Game Studios

Edition in Russian.

Torus edition for children (Eng. French).

Edition in Russian.

КомбинаТОР | Правильные игры

Human or AI? We study collective behavior in these environments.

Human or AI? We study collective behavior in these environments.

Mission

Welcome to World of CTOR!

Basic Rules. One on One.

How is collective intuition measured? Team vs Team

How to play online with the game's creator?

What are people saying about the game?

Alexander Duwdeny, Editor, «Scientific American», USA

Alexander Duwdeny, Editor, «Scientific American», USA

Alexander Duwdeny, Editor, «Scientific American», USA

Stephan Wolfram, Wolfram Research, USA

Alexander Duwdeny, Editor, «Scientific American», USA

Alexander Duwdeny, Editor, «Scientific American», USA

Erno Rubik, Hungary

Alexander Duwdeny, Editor, «Scientific American», USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Alexey Pajitnov, Creator Tetris, USA

Ilia Rybak, Professor neurobiology, Drexel University, USA

Daniel Frenkel, CEO, Math for Love, Germany

Daniel Frenkel, CEO, Math for Love, Germany

Ilia Rybak, Professor neurobiology, Drexel University, USA

Daniel Frenkel, CEO, Math for Love, Germany

AI vs AI * Team vs Team * AI vs Human

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

School course: "Creative and Memory" at Discovery Academy. Canada. Testing collective intelligence in teams of three players.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Play against the AI ​​bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.

Master class for the Toronto University (UofT). Gaming platform tournaments between AI agents are developed. A pilot project where AI bots play against each other.

Play against the AI ​​bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.

R&D GitHub repository

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on the development of the team-on-team version of the game. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on tournaments between AI bots. Free for Universities. Feel free to join in!

This section contains materials on developing algorithms for computer-versus-human gameplay. Feel free to join in!

This section contains materials on tournaments between AI bots. Free for Universities. Feel free to join in!

We appreciate your support!

Drop us a line!

Choose your role in the CTOR community:

CTOR GAME Inc.

History of the CTOR game

Discover CTOR's

Useful links. First Championship. Review from a guru/rule.

First Championship Canada in individual mode 2019

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

First Championship Team vs Team 2018

First Championship Team vs Team 2018

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

First Championship Team vs Team 2018

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

From a guru of Abstract game, CEO, New Venture Game, USA. 2026

Where to buy a board game?

Premium edition (Eng. French)

Torus edition for children (Eng. French).

Torus edition for children (Eng. French).

Torus edition for children (Eng. French).

Torus edition for children (Eng. French).

Torus edition for children (Eng. French).

Edition in Russian.

Torus edition for children (Eng. French).

Edition in Russian.

Social

This website uses cookies.

Play against the AI bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.

Play against the AI bot. Convenient for learning the game's rules, heuristic algorithm from the game's author. Start by placing two pieces in one move.