{"id":17044482,"url":"https://github.com/srush/aima-arguments","last_synced_at":"2025-03-23T02:28:13.056Z","repository":{"id":66268195,"uuid":"415732005","full_name":"srush/aima-arguments","owner":"srush","description":null,"archived":false,"fork":false,"pushed_at":"2021-10-11T01:05:53.000Z","size":7,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-28T05:41:21.704Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/srush.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-10-11T00:24:43.000Z","updated_at":"2024-01-04T17:02:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"6b234c6c-d361-4293-a82a-480b429b3cb2","html_url":"https://github.com/srush/aima-arguments","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srush%2Faima-arguments","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srush%2Faima-arguments/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srush%2Faima-arguments/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/srush%2Faima-arguments/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/srush","download_url":"https://codeload.github.com/srush/aima-arguments/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245047110,"owners_count":20552326,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-14T09:34:32.177Z","updated_at":"2025-03-23T02:28:13.035Z","avatar_url":"https://github.com/srush.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI: A Modern Approach?\n\nIn a fit of frustration, I wrote a troll post about AI: A Modern Approach. \n\nhttps://twitter.com/srush_nlp/status/1446469104894873613\n\nIt led to a very interesting set of reactions. Here is a brief bibliography of the discussions that ensued:\n\n### Camp 0 -\u003e AI is exactly what is in R\u0026N\n\n* Lots of people feel this way!\n\n### Camp 1 -\u003e This confusion is really about the sociology of the field circa 1992\n\n* Scruffy vs Neat : https://en.wikipedia.org/wiki/Neats_and_scruffies, https://monoskop.org/images/1/1e/McCorduck_Pamela_Machines_Who_Think_2nd_ed.pdf\n* Symbolic vs Connectionist (Minsky): https://web.media.mit.edu/~minsky/papers/SymbolicVs.Connectionist.html\n\n\n### Camp 2 -\u003e AI is inherently about Agency\n\n* Rationality of Herbert Simon: https://www.scielo.br/j/rep/a/CWfwPPVWKvLrndfxR9vYFHL/?lang=en\n\n### Camp 3 -\u003e AI is inherently about sequential decision making (Read a formal RL text)\n\n* Algorithms for Decision Making: https://algorithmsbook.com/files/dm.pdf (this book looks amazing)\n* Algorithms for Reinforcement Learning: https://sites.ualberta.ca/~szepesva/rlbook.html\n\n### Camp 4 -\u003e High-level is good, but R\u0026N is not \n\n* ML from Tom Mitchell's text: http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html\n\n### Camp 5 -\u003e ML is good, but prob ML texts are too informal\n\n* Foundations of ML: https://cs.nyu.edu/~mohri/mlbook/\n* Elements of Statistical Learning: https://web.stanford.edu/~hastie/ElemStatLearn/\n* Understanding Machine Learning: https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/\n\n### Camp 6 -\u003e PRML is on the right track, but doesn't have enough new stuff\n\n* Prob ML - https://probml.github.io/pml-book/book1.html\n\n### Camp 7 -\u003e Philosophy is critical for AI, but R\u0026N is too scattered\n\n* Cambridge Handbook of AI:  http://www.cambridge.org/9780521871426\n\n### Camp X -\u003e Arguments about Rigor are really important and we should have more of them\n\n* Ali Rahimi's Test of Time Talk: https://www.youtube.com/watch?v=Qi1Yry33TQE\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsrush%2Faima-arguments","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsrush%2Faima-arguments","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsrush%2Faima-arguments/lists"}