Thanks for this guide, I'll keep referring to it often.
My current road to Common Lisp is working through Peter Norvig's book Paradigms of Artificial Intelligence Programming [0]. It's not a direct route to the kind of programming most people do nowadays, but I hope to at least get a taste of what it was to be a researcher in classical AI.
Not only classical AI. If you bake in probability into logic-based Lisp & Prolog AI you end up in probabilistic programming. This is a very hot research topic.
You can also then add deep-learning based samplers. It's all connected.
Comments
Thanks for this guide, I'll keep referring to it often.
My current road to Common Lisp is working through Peter Norvig's book Paradigms of Artificial Intelligence Programming [0]. It's not a direct route to the kind of programming most people do nowadays, but I hope to at least get a taste of what it was to be a researcher in classical AI.
[0] https://github.com/norvig/paip-lisp
Not only classical AI. If you bake in probability into logic-based Lisp & Prolog AI you end up in probabilistic programming. This is a very hot research topic.
You can also then add deep-learning based samplers. It's all connected.
as in this https://www.cs.cornell.edu/courses/cs4110/2016fa/lectures/le...