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Probabilistic Models of Cognition
- servytor 5y agoThe Lisp version (Church) is here[0]. The current version is just a JavaScript library. [0]: http://v1.probmods.org/ http://v1.probmods.org/
- wodenokoto 5y agoI really wish I could run church in a notebook as I need a bit more space to experiment in order to solve the problems in probmod. Maybe just a repl would be enough. I guess the bottom line is that it made sense to do probmod in a more “normal” programming language. Figuring out the lisp like code and the probabilistic problems at the same time is quite a mouthful.
- nanomonkey 5y agoOrg-mode supports evaluating code blocks though org-babel. https://www.orgmode.org/worg/org-contrib/babel/languages/ob-doc-lisp.html https://www.orgmode.org/worg/org-contrib/babel/languages/ob-...
- j_d_b 5y agoDoes this book just get resubmitted every year? I see this exact post going back every year to 2013.
- tpoacher 5y agoWhat is the notebook "library" used here? Looks very nice. Couldn't quite spot it from the page source code.
- pc86 5y agoIs it possible that it's just custom? It looks very familiar, but https://probmods.org/assets/css/default.css https://probmods.org/assets/css/default.css seems to be the bulk of the non-bootstrap styling and it doesn't look like it was generated.
- z5h 5y agoTook a peek. Information is accessible and interesting. Code snippets work and visualizations are clear. Can anyone who has read this (or similar) speak to deeper points? Did it change anything for you? Is it outdated? etc.
- nextos 5y agoIt's not outdated. Many ideas there, like mixture models or hierarchical models are pretty timeless mathematical concepts. A nice follow up is [1], which delves more into more technical inference aspects. There are also follow up texts by the same authors [2,3]. Another approach to further learning is to implement your own library. My favorite implementation is [4], which is both advanced and easy to understand. [1] https://arxiv.org/abs/1809.10756 https://arxiv.org/abs/1809.10756 [2] http://dippl.org/ http://dippl.org/ [3] https://agentmodels.org/ https://agentmodels.org/ [4] https://gen.dev/ https://gen.dev/