Image is from http://labs.sogeti.com/testing-of-artificial-intelligence/
Artificial Intelligence (AI) is already changing our lives.
– Testers need to know, what to expect of AI, how to test it, what skills and knowledge can be reused.
– Product Owners needs to know, how AI is influencing their product and what they can do about it.
I have reviewed the paper “Testing of Artificial Intelligence,” and I can highly recommend it.
Link to blog:
http://labs.sogeti.com/testing-of-artificial-intelligence/Direct link to paper:
The 3rd stage of my “Cognition Bot Taxonomy”.
The bot makes assumptions about its inputs and comes to its conclusions about its outputs – all on its own and therefore learns unsupervised.
The bot does that by building a statistical model to correlate its inputs with its outputs. Does this sound a little esoteric? Let’s start with an easy example:
Continue reading “Bot 3 – Statistical cognition – Unsupervised learning”
My “Cognition Bot Taxonomy” can be split into 4 stages:
The 2nd stage of my “Cognition Bot Taxonomy”.
The bot is able to create relations between sentences (but only exact matches), on observing human interaction:
Continue reading “Bot 2 – Human cognition required – Supervised learning”
The 1st stage of my “Cognition Bot Taxonomy”.
The “No cognition” bot is purely mechanical and is not able to learn anything else than it is preprogrammed to do.
A “No cognition” chatbot would work as a switch:
Bot: I did not understand you. Please write "on" or "off"
Bot: lamp is on
Bot: lamp is off
Continue reading “Bot 1 – No cognition – No learning”