New machine behavior’s evolutionary approaches between AI learning, control and ethics promoting cooperative Human-Machine Intelligence

Sergio Guida


The technological revolution in the fields of robotics and artificial intelligence seems to indicate a future shift in our human-centered social paradigm towards a greater inclusion of artificial cognitive agents in our everyday environments. Understanding AI agents goes beyond the interpretation of a specific algorithm and requires analyzing the interactions between agents and with their surroundings. Combining AI and behavioral science is then seen in its true potential, as an ethical way to improve people's lives, where end users can feel safe when sharing personal data for transparent and relevant services.


Artificial agents, evolutionary robotics, machine behavior, hybrid intelligence, saliency maps, adaptive robots, neuroevolution, collaborative behavior.

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