To prove generalization of our AI and touch the edge of science, Arago has taken on the next big challenge after Go – it has become good tradition to showcase the advancement in AI through playing games. Starting at chess to Jeopardy to Atari games and lastly to the game of Go, winning in a strategy game like Freeciv is the next logical step.
Freeciv is a strategic game that comes very close to many real world problems. It has much more possible game states than chess or Go and there exists incomplete information, which means that the player cannot observe the progress of their enemies. Furthermore,
randomness and the balancing of short term and long term goals make Freeciv even for humans a very challenging task. We are taking on the challenge of mastering the Game of Freeciv with our AI HIRO.
The common approach of many AI systems is to take into account all possible combinations of a game and evaluate their „desirability“. However, this is not possible if the number of possible states is immensely large and if a game state does not provide all necessary information for the next decisions. That‘s why HIRO™ is building on a knowledge base that incorporates the knowledge of the best Freeciv players in the world. By using the knowledge about best-practices, HIRO™ can ignore many possible actions that are not relevant to win the game and pick only the best actions necessary to win.
Why HIRO™ has good chances to win
Unlike other experts systems, HIRO™ can reuse its knowledge and can be easily trained by many different people at the same time. HIRO™ learns from language that can be shared among devefreeciv_worldlopers and thus makes learning from humans very efficient. In addition HIRO™ can evaluate its actions and learn from experience which strategies have worked best. These properties give HIRO™ the capabilities to excel in very complex situations such as IT system management and also in Freeciv.