Question

To use this lens focus on the parts of your game that involve randomness and risk, keeping in mind that those two things are not the same. Ask yourself these questions: Would changing my probability distribution curves improve my game?

   To use this lens focus on the parts of your game that involve randomness and risk, keeping in mind that those two things are not the same.
Ask yourself these questions:
Would changing my probability distribution curves improve my game?
Show more…
The art of game design: a book of lenses
The art of game design: a book of lenses
Jesse Schell 1st Edition
Chapter 10, Problem 3 ↓

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In a game, probability distribution curves represent the likelihood of different outcomes occurring. For example, in a dice game, the probability distribution curve would show the chances of rolling each number. Now, the question asks whether changing the  Show more…

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To use this lens focus on the parts of your game that involve randomness and risk, keeping in mind that those two things are not the same. Ask yourself these questions: Would changing my probability distribution curves improve my game?
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Key Concepts

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Randomness
Randomness refers to the inherent unpredictability in outcomes, where events occur without any guaranteed pattern. In game design, it is used to introduce variability and surprise, which can enhance engagement by preventing players from easily anticipating every result. This concept is crucial for balancing elements that rely on chance rather than skill or strategy.
Risk
Risk involves the potential for negative outcomes as a consequence of choices made by a player, and it is often associated with the uncertainty of rewards or losses. Unlike randomness, risk takes into account the player's ability to manage or mitigate the possibility of unfavorable results. Understanding risk is essential for creating meaningful decision-making scenarios in game design.
Probability Distributions
Probability distributions are mathematical functions that describe the likelihood of different outcomes. In the context of game design, they help designers fine-tune the randomness inherent in game mechanics by defining how often certain events should occur. Adjusting the curves of these distributions can be a powerful tool to balance risk and reward, ultimately impacting the overall player experience.
Game Mechanics Evaluation
Evaluating game mechanics involves analyzing how elements like randomness and risk interact within the game. This process includes assessing whether modifying probability distribution curves can improve the gaming experience by offering a better balance between chance and strategic decision-making. It is a critical step in ensuring that the game remains engaging and fair to its players.

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Recommended Videos

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section-2-create-game-create-a-game-using-the-probability-techniques-leamed-in-ihis-course-with-5-to-10-outcomes-you-can-choose-any-cost-you-would-iike-for-the-player-but-your-game-must-be-p-23315

Section 2: Create game: Create a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution, and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value, and bar graph. Compare the distribution, bar graph, and expected value to the theoretical.

section-2-create-game-create-game-using-the-probability-techniques-oam-ed-ines-course-with-to-10-outcomes-you-can-choose-any-cost-you-would-iike-for-the-player-but-your-game-must-be-prafitab-42895

Section 2: Create a game: Create a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value and bar graph. Compare the distribution, bar graph and expected value to the theoretical.

section-2-make-a-game-make-a-game-using-the-probability-techniques-learned-in-this-course-with-5-to-10-outcomes-you-can-choose-any-cost-you-would-like-for-the-player-but-your-game-must-be-profitable-a

Section 2: Make a game: make a game using the probability techniques learned in this course with 5 to 10 outcomes. You can choose any cost you would like for the player, but your game must be profitable and engaging. In this section, you will communicate rules (which will be shared with the class), create the theoretical probability distribution and expected value with bar graphs. Section 3: Test your game: Play your game 100 times and create the experimental probability distribution, expected value and bar graph. Compare the distribution, bar graph and expected value to the theoretical.

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