> Do you think that an artificial intelligence can develop some kind of sensation through reward stimulation?

Yeah, I do think so.  I remember reading about [this](https://ai.facebook.com/blog/near-perfect-point-goal-navigation-from-25-billion-frames-of-experience/) last year.

> The AI community has a long-term goal of building intelligent machines that interact effectively with the physical world, and a key challenge is teaching these systems to navigate through complex, unfamiliar real-world environments to reach a specified destination — without a preprovided map. We are announcing today that Facebook AI has created a new large-scale distributed reinforcement learning (RL) algorithm called DD-PPO, which has effectively solved the task of point-goal navigation using only an RGB-D camera, GPS, and compass data. Agents trained with DD-PPO (which stands for decentralized distributed proximal policy optimization) achieve nearly 100 percent success in a variety of virtual environments, such as houses and office buildings. We have also successfully tested our model with tasks in real-world physical settings using a LoCoBot and Facebook AI’s <A HREF="https://ai.facebook.com/blog/open-sourcing-pyrobot-to-accelerate-ai-robotics-research/">PyRobot platform</A>.

When they talk about "<i>reinforcement learning</i>", that's a reward-based learning model.