Dynamic Map Generation and Personalization System for Video Games

Publication ID: 24-11857876_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Dynamic Map Generation and Personalization System for Video Games,” Published Technical Disclosure No. 24-11857876_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857876_0001_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,876.

Summary of the Inventive Concept

A system and method for dynamically generating and personalizing video game maps based on player behavior, preferences, and performance, providing an optimized gameplay experience and increased player engagement.

Background and Problem Solved

The original patent for dynamically variable maps in video games has limitations in terms of map adaptability and personalization. The new inventive concept addresses these limitations by utilizing machine learning algorithms, player profiling, and real-time game analytics to create customized maps that cater to individual players' skills and preferences.

Detailed Description of the Inventive Concept

The system consists of a machine learning module that analyzes player behavior and preferences, a map generation module that creates personalized maps based on the analysis, and a game analytics module that monitors player performance and adjusts the map's difficulty in real-time. The system can also utilize procedural generation techniques to create multiple map configurations that can be seamlessly switched between during gameplay. The method involves detecting changes in player demographics and adjusting the map's layout to optimize gameplay experience for the current player base.

Novelty and Inventive Step

The new inventive concept introduces the use of machine learning algorithms, player profiling, and real-time game analytics to create personalized and adaptive maps, which is a significant improvement over the original patent's static map modifications. The inventive step lies in the combination of these technologies to provide a tailored gameplay experience for each player.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different machine learning algorithms, incorporating additional data sources such as social media or player feedback, or implementing the system in various genres of video games. Variations could also include using the system for dynamic level design, adaptive difficulty adjustment, or personalized game recommendations.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the video game industry, particularly in the areas of online multiplayer games, esports, and game development platforms. The system could be licensed to game developers, or integrated into game development platforms to provide a competitive edge in the market.

CPC Classifications

SectionClassGroup
A A63 A63F13/52
A A63 A63F13/55
A A63 A63F13/60
A A63 A63F13/795

Field of Art

Video game design and interactive digital entertainment systems, with expertise in dynamic map generation, player interaction mechanics, and computational game environment modification

Person of Ordinary Skill (PHOSITA) Profile

A software engineer or game designer with advanced knowledge of game development technologies, machine learning techniques, procedural generation algorithms, and real-time gameplay adaptation strategies

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's machine learning and personalization techniques represent predictable extensions of the source patent's dynamic map modification framework. The core concept of real-time map adaptation is consistent between both documents, with the PTD merely introducing more sophisticated algorithmic approaches to achieve similar gameplay modification goals. The technical implementation follows naturally from the existing patent's foundational teachings about dynamically adjusting game environments based on player interactions.

Obvious Combinations & Variations

Source Patent Element
Dynamic map modification based on gameplay session changes
PTD Variation
Machine learning algorithms for analyzing player behavior to generate map variations
Obviousness Reasoning
Predictable application of known machine learning techniques to extend existing dynamic mapping concept, representing an obvious design optimization
Source Patent Element
Real-time monitoring of gameplay session parameters
PTD Variation
Game analytics module tracking player performance for map difficulty adjustment
Obviousness Reasoning
Known technique of using performance metrics to modify game parameters, representing a straightforward technical evolution
Source Patent Element
Ability to alter map boundaries during gameplay
PTD Variation
Procedural generation of multiple map configurations for seamless switching
Obviousness Reasoning
Finite set of known procedural generation techniques applied to existing dynamic mapping concept, representing an obvious implementation strategy
Source Patent Element
Multiplayer gameplay environment modification
PTD Variation
Player demographic-based map layout personalization
Obviousness Reasoning
Logical extension of existing player interaction modification techniques using additional contextual data sources
Source Patent Element
Dynamic object state changes within game environment
PTD Variation
Machine learning-driven adaptive game object placement and interaction
Obviousness Reasoning
Predictable application of advanced computational techniques to existing game environment modification framework
35 U.S.C. § 103 Summary: Based on a comprehensive analysis of US Patent 11857876 and the present technical disclosure, a person having ordinary skill in the art would find the claimed variations obvious and anticipated, as the proposed innovations represent foreseeable computational extensions of existing dynamic game environment modification techniques, utilizing standard machine learning and procedural generation methodologies to achieve predictable improvements in interactive digital entertainment systems.

Original Patent Information

Patent NumberUS 11,857,876
TitleSystem and method for providing dynamically variable maps in a video game
Assignee(s)Activision Publishing, Inc.