The Processing Of Abstract Thought Revealed By Artificial Intelligence

As AI turns out to be more complex, much of the public attention has aimed on how productively these techs can vie against humans at strategy games such as chess. A University of Houston’s philosopher has taken another approach, deconstructing the sophisticated neural networks employed in ML to reveal how humans process abstract thoughts.

“As our dependency on these systems increases more and more, it is essential to know why they work and how,” claimed author of a paper shedding light on the topic posted in Synthese and assistant professor of philosophy, Cameron Buckner, to the media in an interview. Better recognizing how the systems operate, in turn, led him to approaches into the nature of human learning.

Philosophers have argued since the days of Plato about the origins of human knowledge. They claimed about it being innate, on the basis of logic.

On a similar note, scientists earlier designed an innovative application that might assist physically impaired individuals surf internet and write songs as well as compose emails. This all can be done with the supremacy of their mind.

Utilizing the innovative and latest application of interface for brain & computer, and designed by a scientist at TU Graz (Graz University of Technology) in Austria, Gernot Muller-Putz, people can transfer onto a musical score and compose music by just wearing a cap equipped with electrode that calculates their brain waves. Such networks are utilized to assist consumers do stuffs such as writing down a text.

The interface operates when consumers choose from the different choices, such as notes or letters, chords, pauses, which flash by continuously one after the other on a computer monitor. They can also lay down tone pitch and length. As these stuffs are chosen, they come into view as notations on an individual music-composing program.