This function is basically saying “If a white queen is on square d4 of a chessboard, then add or subtract some corresponding amount from the total evaluation score. If a black king is on square c2, then add or subtract some other corresponding amount from the total evaluation score” and so on for all permutations of piece types of both colors and squares on the chessboard.
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In fact, if the new evaluation is the first for a particular move, then h only differs by the move the opposing color made, and the move under consideration. (Keep in mind, because I’m using the thresholding approach, the move corresponding to the last evaluation I computed, and thus, the last h I computed, was actually executed in the game, so I have an accurate starting point in my working memory.)
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“It has been my privilege to familiarize and train this curriculum with soldiers and civilians in the Middle East on two deployments, in the Czech Republic two different times and on many civilian bases. Every time I am up to bat my preparation yields new insights. I have been the beneficiary far more than anyone I have spoken with. If a trainer is stoked and fired up about how it has made a difference in their life you can’t argue with the life change.”
Yesterday, I finished building my chess algorithm pipeline, which can take chess games downloaded from the internet, convert them into a machine learning-friendly format, and then use them to train a machine learning model. At the end of the pipeline, the program outputs a list of algorithmic parameters that I can memorize and eventually use to compute chess evaluations in my brain.
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For clarity’s sake, the questions we sent to Chaplain (Captain) MacKrell have been bolded and numbered. His answers are directly under the corresponding questions in non-bolded text, and a quick wrap-up written by us (and not him) follows the questions. Please enjoy this interview about MRT with one of its proponents, and we can only hope that you learn as much from reading this interview as we did by conducting it.
A broader but less deep presentation on MRT comes from the U.S. Army and can be found here. This presentation focuses on several modules of MRT, but most heavily focuses on the second module, Building Mental Toughness, which was rated the most useful module by soldiers who have undergone the training program. While this presentation focuses on the second module more than anything, it also touches on others, such as module 3: Identifying Character Strengths, which is of particular interest to positive psychology.
This is a wonderfully inspirational article, full of many truths. What Robert says about us so often drifting off from our unique path, due to outside influences, resonates particularly well – sadly, perhaps. Strangely though, I have found that certain elements of Mastery can be attained even in these instances, if you cast energy and commitment into the Pond, but it is fulfillment that wanes. One thing that Robert doesn’t explicitly raise, is the manner in which Mastery draws on both creativity and community – he does talk about about Social Intelligence, but I would suggest that there is more to community than just this : I believe that True Mastery would place you in a position where you not only occupy a commanding and an intuitive space in your subject area, but you are also able to draw on the creative energy of like-minded souls that perhaps see you as a sapiential mentor, and that in this sense you reach a point where it is through others that you are able to secure continual refreshment of both your field and self. Mastery may indeed be redundant, in the absence of social and community influence. I would be interested in other reader’s comments on this thought.
As a reminder, this new method labels all chess positions from a winning game as +1 and all chess positions from a losing game as -1. Then, each time the program sees the same chess position, it continues to add together these +1 and -1 labels until a final total is reached. The higher the number, the more definitively “good” the move is, and the lower the number, the move definitively “bad” the move is.
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