04 NOV 2018 by ideonexus

 Dice Rolls are Suspect

It is true that every aspect of the role of dice may be suspect: the dice themselves, the form and texture of the surface, the person throwing them. If we push the analysis to its extreme, we may even wonder what chance has to do with it at all. Neither the course of the dice nor their rebounds rely on chance; they are governed by the strict determinism of rational mechanics. Billiards is based on the same principles, and it has never been considered a game of chance. So in the final analysis...
Folksonomies: games randomness
Folksonomies: games randomness
  1  notes
 
04 NOV 2018 by ideonexus

 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...
Folksonomies: algorithms randomization
Folksonomies: algorithms randomization
  1  notes

From John Casti.

02 NOV 2018 by ideonexus

 Input and Output Randomness

The fundamental difference between randomness that support strategy and randomness that under cuts strategy, input randomness allows the player to build the strategy output randomness undercuts it and limits your ability to plan ahead. For example let's look at Pandemic this is a great example of input randomness flicking the cards is certainly random, create a situation that the players need to react to that reaction is completely deterministic. If for example you have to roll dies if you re...
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Input randomness is a random initial state for a game, while output randomness is rolling dice or drawing cards during the game. The second removes strategy from the game.

27 JUL 2018 by ideonexus

 Redundancy in the English Language

Whenever we communicate, rules everywhere restrict our freedom to choose the next letter and the next pineapple.I Because these rules render certain patterns more likely and certain patterns almost impossible, languages like English come well short of complete uncertainty and maximal information: the sequence “th” has already occurred 6,431 times in this book, the sequence “tk” just this once. From the perspective of the information theorist, our languages are hugely predictable— al...
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Monte Carlo method for building words and sentences.

27 JUL 2018 by ideonexus

 Constituative Rules of Chutes and Ladders

Players all begin with a value of zero. Players alternate turns adding a random number of 1–6 to their current value. The first player to reach a value of exactly 100 wins (if adding the random number to a player's total would make the total exceed 100, do not add the random number this turn). When a player's total exactly reaches certain numbers, the total changes. For example, if a player reaches exactly 9, her total becomes 31. If a player reaches exactly 49, her total becomes 11.(This r...
Folksonomies: gameplay isomorph
Folksonomies: gameplay isomorph
  1  notes
 
05 MAR 2015 by ideonexus

 The Monte Carlo Method and Evolutionary Algorithms

Back then, I thought of one thing: Have you heard of the Monte Carlo method? Ah, it’s a computer algorithm often used for calculating the area of irregular shapes. Specifically, the software puts the figure of interest in a figure of known area, such as a circle, and randomly strikes it with many tiny balls, never targeting the same spot twice. After a large number of balls, the proportion of balls that fall within the irregular shape compared to the total number of balls used to hit the ci...
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03 MAR 2014 by ideonexus

 Correlation != Causation; However, It is Often All We Have

> correlation doesn't mean causation. As a statistician, I guess I should be happy that more people are aware of this. But I also think too many people are taking "correlation != causation" superficially. I mean, almost all of science is based on significant correlational findings, especially when the traditional way to prove causation (i.e. via randomized trial) is unethical (i.e. we can't randomly assign people to be insured vs. uninsured). Along these lines, I often find people who sa...
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Examples of when correlation should be taken seriously.

29 DEC 2013 by ideonexus

 Making Forced Connections

The basic process for making forced connections, as outlined by Koberg and Bagnall, is simple and sound. List possible features of the object you are trying to creatcte, one le feature per column. For example, the features might include cololor, size, anc shape. 2. In the column under each feature variable, list as many values for that variable as you can. For example, under color you might list all the colors of the rainbow, as well as black, white, gold, and silver. 3. Finally, random...
Folksonomies: ideas creativity
Folksonomies: ideas creativity
  1  notes

A technique for coming up with new ideas. This could be done with the mxplx rand() function, using it to find random memes and then forcing onseself to find connections between the ideas.