Internal Project (Fondi Margine) 01 JAN 2019 – 31 DEC 2021 The project aims at investigating and developing software architectures for a conscious humanoid robot that considers suggestions from robotics and artificial systems, computational science, psychology, philosophy of mind, ethics, and neuroscience.
Contexts where agents and humans are required to collaborate and cooperate in a human-like fashion are complex systems where a high degree of self-adaptability of every component is demanding. A fundamental ingredient when developing and implementing this kind of systems is the knowledge representation. Knowledge of the goals, the environment, […]
The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a […]
When cooperating with a team including humans, robots have to understand and update semantic information concerning the state of the environment. The run-time evaluation and acquisition of new concepts fall in the critical mass learning. It is a cognitive skill that enables the robot to show environmental awareness to complete its tasks […]