Episode 6: Review

Review of Self Help for Robots, the podcast
Audio source: 

Research on Affective Computing

A draft figure by Stacy Marsella, Jonathan Gratch, Paolo Petta

There will be reading (and maybe a quiz)!

Hal 9000, meet Apple HomePod

The similarities are—I hope—superficial, but Hal 9000 and Apple's new HomePod, well, do look a little similar.

The eve of awareness equity?

I just started diving into the new article on io9: "When Will Robots Deserve Human Rights?" by George Dvorsky.

The link: http://gizmodo.com/when-will-robots-deserve-human-rights-1794599063

Why study emotions objectively?

What are emotions? Well, according to a book I just read, Crucial Conversations, they are the result of the stories we tell ourselves.

Those stories being subjective, the emotions, too, are subjective--and subject to change. But don't try to tell someone who felt bitter disappointment that it wasn't real, just because the story upon which the feeling was based wasn't.

Wasn't real, that, is.

Tags:

Learning without understanding

I just saw an article for this: https://www.affectiva.com over at Slashdot (https://developers.slashdot.org/story/17/05/21/2137208/how-ai-can-infer-...).

Of course, using a massive database with humans providing the context, machines can learn, but can not understand.

Thus, they can't explain their decisions, or help emotional cognition, just recognition.

LinkedIn Article on Self Help for Robots

Three-axis model of emotions denoting gain, domain and event.

Welcome to my model. I’ve always loved playing with models, imagining them, building them, analyzing them. They are so nice and simple!

Getting started

Going from zero to one is not just a quantum leap, it's a paradigm shift!

Self Help for Robots provides a new view of interaction between organic and inorganic life.

It's also funny as heck. Check back soon for links no how to get started!

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