We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, und...
Antonio Chella, Marcello Frixione, Salvatore Gagli...
Abstract. Modern description logic (DL) reasoners are known to be less efficient for DLs with inverse roles. The current loss of performance is largely due to the missing applicabi...
The aim of this paper is to extend the modal logic of knowledge due to Moss and Parikh by state transformers arising, eg, from actions of agents. The peculiarity of Moss and Parik...
1 One of the major challenges of Applied Artificial Intelligence is to provide environments where high level human activities like learning, constructing theories or performing exp...
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...