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| public:t-713-mers:mers-23:readings [2023/10/11 10:12] – [WORLDS & AGENTS] thorisson | public:t-713-mers:mers-23:readings [2024/10/07 15:36] (current) – [Artificial Neural Networks] thorisson |
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| ===== NON-AXIOMATIC REASONING [4,4]===== | ===== NON-AXIOMATIC REASONING [5,5]===== |
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| * [[https://sciendo.com/article/10.2478/v10229-011-0021-5|Solving a problem with or without a program]] by P. Wang. | * [[https://sciendo.com/article/10.2478/v10229-011-0021-5|Solving a problem with or without a program]] by P. Wang |
| * [[https://www.academia.edu/64812965/Abduction_in_Non_Axiomatic_Logic|Abduction in non-axiomatic logic]] by P. Wang. | * [[https://www.academia.edu/64812965/Abduction_in_Non_Axiomatic_Logic|Abduction in non-axiomatic logic]] by P. Wang |
| * [[http://matt.colorado.edu/teaching/highcog/readings/s96.pdf|Empirical case for two systems of reasoning]] by S. Sloman. | * [[https://www.frontiersin.org/articles/10.3389/frai.2022.806403/full|A Model of Unified Perception and Cognition]] by P. Wang et al. |
| | * [[http://matt.colorado.edu/teaching/highcog/readings/s96.pdf|Empirical case for two systems of reasoning]] by S. Sloman |
| | * [[https://www.youtube.com/watch?v=vOVQmUYQG1M|AGI NARS Tutorial]] by P. Wang & P. Hammer |
| * [[https://www.academia.edu/64813003/A_New_Approach_for_Induction_From_a_Non_Axiomatic_Logical_Point_of_View|A New Approach for Induction: From a Non-Axiomatic Point of View]] by P. Wang. | * [[https://www.academia.edu/64813003/A_New_Approach_for_Induction_From_a_Non_Axiomatic_Logical_Point_of_View|A New Approach for Induction: From a Non-Axiomatic Point of View]] by P. Wang. |
| * [[https://www.researchgate.net/publication/221439054_The_Logic_of_Categorization|The logic of categorization]] by P. Wang. | * [[https://www.researchgate.net/publication/221439054_The_Logic_of_Categorization|The logic of categorization]] by P. Wang |
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| * [[https://paperswithcode.com/sota/question-answering-on-truthfulqa?metric=%25%20true|Question Answering on Truthful Q&A]] on Papersiwthcode.com | * [[https://paperswithcode.com/sota/question-answering-on-truthfulqa?metric=%25%20true|Question Answering on Truthful Q&A]] on Papersiwthcode.com |
| * [[https://paperswithcode.com/sota/common-sense-reasoning-on-commonsenseqa|Common Sense Reasoning]] on Paperswithcode.com | * [[https://paperswithcode.com/sota/common-sense-reasoning-on-commonsenseqa|Common Sense Reasoning]] on Paperswithcode.com |
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| | ===== NON-AXIOMATIC REASONING SYSTEM (NARS) ===== |
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| | * [[https://cis.temple.edu/tagit/blogs/NARS-in-a-nutshell.html|NARS in a Nutshell]] by Tangrui (Tory) Li |
| | * [[https://cis.temple.edu/tagit/blogs/Non-axiomatic-truth-values.html|Non-axiomatic truth-values]] by Tangrui (Tory) Li |
| | * [[https://cis.temple.edu/tagit/blogs/Attention.html|Attention]] by Tangrui (Tory) Li |
| | * {{/public:t-713-mers:mers-23:nal_-_1_en_v.1.1.pdf|Course Material for NAL-1 (v.1.1)}} by Tangrui (Tory) Li |
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| ===== LEARNING & KNOWLEDGE ====== | ===== LEARNING & KNOWLEDGE ====== |
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| ====Artificial Neural Networks==== | ====Artificial Neural Networks==== |
| * {{/public:chatgptcantreason.pdf|ChatGPT Can't Reason}} by K. Arkoudas | * {{/public:chatgptcantreason.pdf|ChatGPT Can't Reason}} by K. Arkoudas |
| | * [[https://arxiv.org/pdf/2305.18654.pdf|Limits of Transformers on Compositionality]] by Dziri et al. |
| * [[https://arxiv.org/pdf/2307.01850.pdf|Self-Consuming Generative Models Go MAD]] by S. Alemohammad et al. | * [[https://arxiv.org/pdf/2307.01850.pdf|Self-Consuming Generative Models Go MAD]] by S. Alemohammad et al. |
| * [[https://garymarcus.substack.com/p/what-was-60-minutes-thinking-in-that?r=8tdk6&utm_campaign=post&utm_medium=web|Gary Marcus' commentary blog on 60 Minutes interview with Geoffrey Hinton]] by G. Marcus | * [[https://garymarcus.substack.com/p/what-was-60-minutes-thinking-in-that?r=8tdk6&utm_campaign=post&utm_medium=web|Gary Marcus' commentary blog on 60 Minutes interview with Geoffrey Hinton]] by G. Marcus |
| | * [[https://www.youtube.com/watch?v=DP454c1K_vQ|Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs]] interview with Juergen Schmidhuber by Machine Learning Street Talk |
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