Hi, T have very little experience with Logic based Al algorithms, and my understanding is these machines use propositional logic algorithms (which wasn’t something I have come across before, even when I was in uni).
My experience is in statistical & neural based networks and can understand the pros and cons of those networks.
I am just trying to understand what is the advantage and disadvantages of logic based algorithms specifically Tsetlin Machines? Is this something that I should learn more about? What are some good resources?
Thanks
Sounds like an exciting problem! I guess leveraging the Tsetlin machine clauses can give a fresh take on the task. Tsetlin machines also support reasoning by elimination. That is, it can learn what the target isn’t instead of what it is, for increased robustness: https://www.ijcai.org/proceedings/2022/616