Incongruity Theory Applied in Dynamic Adaptive Game Artificial Intelligence

Artificial Intelligence Applied on the Risk! Game

Incongruity-Based Adaptive Game Balancing

Commercial games possess various methods of game balancing. Each of them modifies the game’s entertainment value for players of different skill levels. This paper deals with one of them, viz. a way of automatically adapting a game’s balance which is based on the theory of incongruity. We tested our approach on a group of subjects, who played a game with three difficulty settings. The idea is to...

Advanced Artificial Intelligence Techniques applied to a Motocross Game

We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two different training techniques, the Evolutionary Algorithms and the Backpropagation Algorithm. In this paper, we detail some of the investigations to improve the training, with a view to having the computer controlled b...

Reflective Oracles: A Foundation for Game Theory in Artificial Intelligence

Classical game theory treats players as special: A description of a game contains a full, explicit enumeration of all players. This isn’t a realistic assumption for autonomous intelligent agents. Ideally, such agents would be based on a decision-theoretic foundation for game theory in which their coplayers are a non-distinguished part of the agent’s environment, but it is nontrivial to find suc...

Artificial Intelligence and Systems Theory: Applied to Cooperative Robots

This paper describes an approach to the design of a population of cooperative robots based on concepts borrowed from Systems Theory and Artificial Intelligence. The research has been developed under the SocRob project, carried out by the Intelligent Systems Laboratory at the Institute for Systems and Robotics Instituto Superior Técnico (ISR/IST) in Lisbon. The acronym of the project stands both...