Use of machine learning to increase or decrease level of difficulty in beating video game opponent
US11065545B2 · kind B2 · utility
1Cited by
1References
11Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Jul 25, 2019 |
| Grant date | Jul 20, 2021 |
| Priority date | — |
| Expiry date | Jul 25, 2039 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F13/798
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
Machine learning is used to determine one or more video game players' ability to defeat a non-player video game opponent, such as a boss. The level of difficulty in beating the video game opponent may then be increased or decreased based on the players' ability to beat the video game opponent. In some examples, another player may then opt in to the increased or decreased level of difficulty, or may choose to play the video game without the increased or decreased level of difficulty.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.