We discuss two experiments in which requirements engineering techniques has been used and evaluated. In the first experiment a technique called Executable Use Cases is applied in t...
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Many researchers in the software agent field use the financial domain as a test bed to develop adaptation, cooperation and learning skills of software agents. However, there are no...
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...