Areas of Interest: Artificial intelligence, collective intelligence, crowdsourcing, data mining, human computation, information retrieval, machine learning.
To reach the desired end in intelligence evolution requires an evolution of both natural and artificial intelligence: collective machine intelligence that can help solve complex challenges facing humanity and human intelligence evolution that can be ready to take on artificial intelligence if it goes against humanity.
The results presented are of theoretical and practical value to researchers and industrial practitioners working in the fields of artificial intelligence, collective computational intelligence, innovative business models, new digital and knowledge economy and, in particular, agent and multi-agent systems, technologies, tools and applications.
These biological examples have in turn inspired engineers to develop artificial robot collectives and decentralized computational algorithms.
Wyss Institute Core Faculty member Radhika Nagpal presents her talk, "Taming the swarm – Collective Artificial Intelligence," at TEDxBermuda.
To computer scientists, they also represent a significant milestone in the development of collective artificial intelligence (AI).
As a leader in the emerging field of swarm robotics, or collective artificial intelligence, she straddles multiple fields, including mechanical engineering, industrial design, and even behavioral biology.
The algorithm developed by Wyss Institute Core Faculty member Radhika Nagpal that enables the swarm provides a valuable platform for testing future collective Artificial Intelligence (AI) algorithms.
The point of origin is revealed to be an extraterrestrial city inhabited by the Mysterons, a collective artificial intelligence.
But there was nothing artificial about the collective gasp that rose from the audience at the news.
