A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
Computational evolutionary art has been an active practice for at least 20 years. Given the remarkable advances in that time in other realms of computing, including other forms of ...
Preferences of a single agent are often partially ordered. For example, it may be hard to compare a novel with a biography. In such a situation, the agent may want the novel and t...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
The static asset protection problem (SAP) in a road network is that of allocating resources to protect vertices, given any possible behavior by an adversary determined to attack t...
John P. Dickerson, Gerardo I. Simari, V. S. Subrah...
We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable agents, and destroy them. Because miniaturized robots are usually end...