Cognitive AI: machines learn to communicate and collaborate with humans
Interview with Futuremaker: Nikolas Kairinos Part II
In the second part of the conversation with Kishore Jethanandani, Mr. Nikolas Kairinos, explains the processes, systems, and data that bring about a symbiotic relationship between man and machines. While machines acquire some of the traits of humans, they do so to communicate and collaborate with humans.
The rise of deep learning in the late 1980s infused new life into the AI profession, and Nikolas embraced it enthusiastically. However, he felt that the state-of-the-art had to advance much further to realize the aspiration of artificial general intelligence. Machines should be able to a) understand context and causation b) conceive complex hypotheses, jointly with humans, and test them empirically c) make inferences from data without needing large volumes of data that deep learning does.
Nikolas’s work centers on dynamic, multi-dimensional knowledge representation systems in contrast to classical knowledge representation, which is static because it separates data and logic. Dynamic knowledge representation integrates data and logic and autonomously maintains its integrity, draws inferences, formulates a hypothesis, and seeks reinforcement to validate or invalidate the posited theory…
