Amorality in Games and Discovering the Algorithm

The rules of Vice City call for a vast accumulation of cash, cars and cronies, of weapons and real estate. Most of these activities are outside the law, but law is just part of a larger algorithm. In any case, the story and the art are arbitrary, mere decoration. If in utopia, everything is subordinated to a rigorous description, a marking of space with signs, in atopia, nothing matters but the transitive relations between variables. The artful surfaces of the game are just a way for the game...

 Games as Multimedia

The third level continues. Games have storylines like the historical novel, which arc from beginning to end. Games have cinematic cut scenes, pure montages of attraction. Games subsume the lines of television just as television subsumed cinema and cinema the novel. But they are something else as well. They are not just an allegory but a double form, an allegory and an allegorithm. Appearances within the game double an algorithm which in turn simulates an unknown algorithm which produces appea...

 Allegorithm is About the Relation of Sign to Number

Allegory is about the relation of sign to sign; allegorithm is about the relation of sign to number. Signs don’t open to reveal chains of other signs, pointing in all directions. Or rather, it is no longer of any importance what signs reveal. They billow and float, pool and gather, arbitrary and useless. There is no way to redeem them. But signs now point to something else. They point to number. And number in turn points to the algorithm, which transforms one number into another. Out of the...

 LLMs are Lossy Compression for the Entire WWW

To grasp the proposed relationship between compression and understanding, imagine that you have a text file containing a million examples of addition, subtraction, multiplication, and division. Although any compression algorithm could reduce the size of this file, the way to achieve the greatest compression ratio would probably be to derive the principles of arithmetic and then write the code for a calculator program. Using a calculator, you could perfectly reconstruct not just the million ex...

 How Computational Review of Chess Games Revealed Narrativ...

Paradoxically, when other top players wrote about games in magazines and newspaper columns they often made more mistakes in their commentary than the players had made at the board. Even when the players themselves published analyses of their own games they were often less accurate than when they were playing the game. Strong moves were called errors, weak moves were praised. It was not only a few cases of journalists who were lousy players failing to comprehend the genius of the champions, or...

 Chess is the Drosophila of Reasoning

Much as the Drosophila melanogaster fruit fly became a model organism for geneticists, chess became a Drosophila of reasoning. In the late 19th century, Alfred Binet hoped that understanding why certain people excelled at chess would unlock secrets of human thought. Sixty years later, Alan Turing wondered if a chess-playing machine might illuminate, in the words of Norbert Wiener, “whether this sort of ability represents an essential difference between the potentialities of the machine and ...

 New Kind of Memory for AI

AI researchers have typically tried to get around the issues posed by by Montezuma’s Revenge and Pitfall! by instructing reinforcement-learning algorithms to explore randomly at times, while adding rewards for exploration—what’s known as “intrinsic motivation.” But the Uber researchers believe this fails to capture an important aspect of human curiosity. “We hypothesize that a major weakness of current intrinsic motivation algorithms is detachment,” they write. “Wherein the a...

 A Computer Algorithm for Randomization

Back in the early days of computers, one of the more popular methods of generating a sequence of random numbers was to employ the following scheme: 1. Choose a starting number between 0 and 1. 2. Multiply the starting number by 4 ("stretch" it). Subtract 4 times the square of the starting number from the quantity obtained in step 2 ("fold" the interval back on itself in order to keep the final result in the same range). 3.Given a starting number between 0 and 1, we can use the proce-dure�...

 The Personal Equation

Sounds like a "fuzzy set." Which comes into play when you try to categorize things that vary continuously into discrete groups. Can't be done without ambiguruity and bias. As a geneficist by the name of Pearl demonstrated when he had 15 scienfists sort the same 532 com kernels into yellow-starchy, yellow-sweet, white-starchy or whitesweet groupings. Each scientist came up with a different count. Instead of objectivity. Pearl discovered "personal equation," the slight nuance in perception each...

 Algorithms are Subjective/Creative Things

he algorithm may be the essence of computer science – but it’s not precisely a scientific concept. An algorithm is a system, like plumbing or a military chain of command. It takes knowhow, calculation and creativity to make a system work properly. But some systems, like some armies, are much more reliable than others. A system is a human artefact, not a mathematical truism. The origins of the algorithm are unmistakably human, but human fallibility isn’t a quality that we associate with ...