Collaborative AI       

links

 Ritwik Chaudhuri photo photoNathaniel  (Nat) Mills photo photo photoRamasuri Narayanam photo Gyana R Parija photo Rakesh R Pimplikar photo Rohith D Vallam photo

Collaborative AI - overview


Certain problems in real life require collaboration (cooperation, competition, or coordination) from multiple agents (human or machines) in a social machine to take a decision that maximizes an overall or public goal or utility. Every agent in such a collaborative setting has its own private goal or utility. It is often a challenge to maximize the public utility while balancing each agent's individual private goals.

                                         

                                 

We have developed a Collaborative Cognition (e.g., Sensing, Learning, and Decision Making) framework and a corresponding AI technology platform (touted as CC-Platform) to provide solutions for such real-world problems. Collaborative Cognition refers to an analytic viewpoint that looks beyond an individual’s cognition to include interactions of individuals with others (including other non-human cognitive agents) in order to develop far superior collective intelligence through computational modeling/evaluations of strategic interactions/engagements among the collaborating agents.

 

Please contact Gyana Parija (gyana.parija@in.ibm.com) for more information on this agenda.