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Programmed content generation method and related device

A content and feature sequence technology, applied in the computer field, can solve problems such as inaccurate evaluation and low efficiency of manual editing

Active Publication Date: 2020-01-07
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in some scenarios, a large amount of content support is required, for example, a large number of levels need to be set in card games to realize the endless level mode of card games; relying on manual editing is inefficient, inaccurate evaluation, and has a certain degree of subjectivity sex

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  • Programmed content generation method and related device
  • Programmed content generation method and related device
  • Programmed content generation method and related device

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Embodiment Construction

[0080] The embodiment of the present application provides a method for generating programmatic content and related devices, which can be applied to the operation of content generation systems or other applications that require a large amount of content, such as card games. Acquisition, the first supervised learning model based on fixed rules and the second supervised learning model based on random rules can be constructed to realize the automatic generation of data statistical results; The second supervised learning model performs multiple simulation calculations to obtain simulation results; next, the label information in the simulation results is extracted, and the label information is associated with the corresponding initial programming content to obtain training data; and the training data is input into the first deep convolution generation confrontation network model for training, to obtain the second depth convolution generation confrontation network model related to the...

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Abstract

The invention discloses a programmed content generation method and a related device, and the method comprises the steps: carrying out the construction of a second supervised learning model through a first supervised learning model and based on a random rule, achieving the simulation of a large amount of content, and obtaining training data according to label information; training a deep convolutional generative adversarial network model according to the training data; therefore, when a large amount of target programmed content is needed, the target label is input to the deep convolutional generative adversarial network model for calculation, so that a plurality of pieces of target programmed content can be generated, the automatic generation process of the programmed content is realized, and the generation efficiency of the programmed content is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method for generating programmatic content and related devices. Background technique [0002] With the research and progress of artificial intelligence (AI) technology, artificial intelligence technology has been researched and applied in many fields, such as common smart homes, smart wearable devices, virtual assistants, smart speakers, smart marketing, driverless, Autonomous driving, drones, robots, smart medical care, smart customer service, etc. I believe that with the development of technology, artificial intelligence technology will be applied in more fields and play an increasingly important role. [0003] Procedural content generation (PCG) has always been a difficult point for artificial intelligence, and content is currently generated through manual editing strategies. For example, in the production process of card game levels, the production is often...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/33G06N3/04G06N3/08
CPCG06F8/33G06N3/08G06N3/045
Inventor 曾子骄郑规范俊杰
Owner TENCENT TECH (SHENZHEN) CO LTD