AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
White out xai4/17/2023 ![]() However, the Earth they have returned has already passed the time of 20,000 years, and has become an unknown world with the ecosystem reigned by Godzilla. Shut out from the possibility of emigration, as the living environment in the ship deteriorates, the group of “Earth Returnists” led by Haruo became the majority, and determines to head back to Earth through a dangerous long-distance hyperspace navigation. ![]() The young man on the emigrant ship: Haruo, who saw his parents killed by Godzilla in front of his eyes when he was 4 years old, had only one thing in his mind for 20 years: to return to the Earth and defeat Godzilla. However, the environmental condition differences between that of the Earth and Tau e, which they finally arrived after 20 years were far beyond the predicted numbers, and was not an environment considered to be habitable by human beings. managed under the central government boarded the inter-sidereal emigrant spaceship “Aratrum” to head for “Tau Cetus e”, the planet beyond the distance of 11.9 light-year. And in 2048, only those who were selected by the A.I. Through the battle against kaiju's that lasted for half a century, human beings has experienced continuous defeat, and finally plans to escape from the Earth. ![]() The appearance of the giant living creatures “Kaiju's” and the ultimate existence that destroys all monsters: Godzilla. That day, the human beings learn that they are not the only ruler of the planet Earth. In the next post, we will cover the libraries and technologies available in the market for explainability work and will use some of these libraries to extract explanations from black-box models as well as white-box models.The last summer of the 20th Century. Final Notesġ - Briefly covered the differences and similarities between XAI and NSC Ģ - Defined and compared black-box and white-box models ģ - Approaches to make black-box models explainable (model properties, local logic, global logic) Ĥ - Compared Rule-based Explanations and Case-based Explanations and exemplified them. In the upcoming parts of this series, we will have hands-on examples of these methods. Embedded symbols & extraction systems: more biology-inspired algorithms such as Neuro-Symbolic Computing.They make use of examples, cases, precedents, and/or counter-examples to explain system outputs and Case-based learning systems: algorithms based on case-based reasoning.Rule-based learning systems: algorithms to learn logical rules from data such as inductive logic programming, decision trees, etc.Including rule-based and case-based learning systems, we have four main classes of white-box designs: Then, it would try to customize with small variations on similar recipes. Therefore, it would look for the most similar desserts to apple pie in the available data. While the rule-based learning approach tries to come up with a set of general rules for making all types of desserts (i.e., eager approach), the case-based learning approach generalizes the information exactly as needed to cover particular tasks. We have the recipes for blueberry pie, cheesecake, shepherd’s pie, and a plain cake recipe. ![]() Let’s say our model needs to learn a recipe for how to make an apple pie. Rule-Based vs Case-Based Learning Algorithm Comparison Example: A Case-based Explanation Example (Figure by Author) (Images from Unsplash) Therefore, here is the diagram showing the sub-categories of AI models in terms of their explainability:įigure 7.
0 Comments
Read More
Leave a Reply. |