Our Challenge and Tech

Our Challenge: Bring liberty to Bots!

At Quantum Gaming, we are pursuing the goal of establishing a new computer game genre: Self-Learning AI Games.

The requirements for characters and bots in computer games are often that they should give the impression of being intelligent, human-like and believable. It is all the more astonishing that AI in games is seldomly inspired by human cognition, although many industries other than the games industry have recently made remarkable advances with precisely this.

At least by academic standards, game bots are still somewhere between old-fashioned and well-established: The "intelligence" and even the faulty behavior of game AI are mostly just the result of elaborate scripting and simple algorithms such as pre-defined decision trees. Their difficulty and degree of mastery is mainly realized by means of "cheating". Virtually no sensory perception, no learning, no adaptation, no logical thinking, no planning, no decision-making, no motivation and no motor control take a part - or simply: no cognition.

There are of course good reasons for this. Game AI must be tailored to typical consumer hardware, and the behavior of the AI ​​must be predictable in order to ensure smooth interaction with the game concept. The use of modern AI in game development, e.g. for procedural content generation, shows that the necessary competencies are indeed available. In the games industry, however, the integration of learning game characters continues to be bypassed because it is not possible to clearly define what exactly is learned in the game and when, and how this influences gameplay and story, which are usually very precisely defined in classic game concepts. In fact, today's computer game genres and game culture have evolved over the past few decades with and through these limitations of AI players. While the level of difficulty of earlier games was mainly determined by your motor skills to handle the controller, modern games have become increasingly complex, more imaginative, open and, in particular, more graphically realistic. Nonetheless, bots are still acting in predefined ways.

We face the challenges that arise from integrating self-learning bots in games by applying the latest findings in cognitive sciences and breaking up the structures and limitations of classic genres. We create intelligent, simulated life forms in computer games and novel game concepts.