Abstract. The World Wide Web has provided users with the opportunity to access from any computer the largest set of information ever existing. Researchers have analyzed how such us...
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
The capability to change user agent while working is starting to appear in state of the art mobile computing due to the proliferation of different kinds of devices, ranging from p...
Gerardo Canfora, Giuseppe Di Santo, Gabriele Ventu...
This paper presents an agent-based model for decision making, which integrates personal biological and psychological aspects with rational utility-based reasoning. The model takes ...