—The subject of this work is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal prop...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
This paper presents a method that can be used for the elicitation and speci cation of requirements and high-level design. It supports stakeholder-based modeling, rapid feasibility...
We consider the problem of how an agent's knowledge can be updated. We propose a formal method of knowledge update on the basis of the semantics of modal logic S5. In our met...
We present an automated exchange for trading complex goods, such as used cars, which allows traders to describe desirable purchases and sales by multiple attributes. The developed...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...