Defensive Objective Character Decision Tree for Dynamic Game Behavior
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Solution Overview
Problem
Conventional game mechanics for victory conditions in multiplayer games have become boring for players, especially for those controlling melee avatars, as they typically involve stationary objectives that can only defend themselves through static logic, lacking dynamic and engaging interactions.
Innovation Solution
Implementing a decision tree with prioritized tasks and conditions for defensive objective characters in a virtual environment, allowing them to perform complex actions such as retreating, using special abilities, and engaging targets, which iteratively modifies their behavior based on satisfied conditions, creating a more intelligent and dynamic defense mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If stationary objectives with static guard logic are used, then the victory condition is simple to implement, but player engagement and excitement are reduced
Solution Approach 1:
The patent applies dynamics by transforming the stationary objective into a mobile defensive character that can move, retreat, and reposition itself dynamically in response to player actions. The objective character now has agency and can adapt its behavior through a decision tree system that evaluates conditions and selects appropriate responses, making the victory condition both simple to implement and dynamically engaging.
2Device complexity
If static guard logic is used for objectives, then the game mechanics are simple, but the gameplay becomes boring and less engaging
Solution Approach 1:
The patent segments the complex behavior of the defensive objective into a modular decision tree structure with prioritized tasks. Each task represents a specific defensive behavior (e.g., attack, retreat, use special ability) that can be independently implemented and adjusted. This segmentation allows the system to maintain simplicity in individual components while achieving complex overall behavior through the hierarchical organization of tasks.
Solution Approach 2:
The decision tree system provides dynamic behavior by continuously evaluating conditions and selecting appropriate tasks based on the current game state. The objective character can switch between different defensive strategies in real-time, making the gameplay engaging while keeping individual mechanics simple.
3Ease of operation
If melee avatars use conventional victory conditions, then the gameplay is straightforward, but player excitement and engagement are reduced
Solution Approach 1:
The patent implements feedback by having the defensive objective character respond to player actions through the decision tree system. When players attack the objective, the system evaluates conditions and selects appropriate responses, creating a meaningful interaction loop. This feedback mechanism makes the victory condition engaging for melee avatars while maintaining gameplay simplicity.
Data Source
AI summary
A method for controlling game behavior of defensive objective characters in a virtual environment comprises providing a decision tree including a prioritized set of tasks for a defensive objective character to perform in the virtual environment, each task of the prioritized set of tasks having at least one condition for performing the task, and iteratively modifying the game behavior of the defensive objective character in the virtual environment by processing at least a subset of tasks of the prioritized set of tasks in order of highest priority to lowest priority, wherein processing includes determining whether the at least one condition for a given task of the prioritized set of tasks is satisfied and modifying the game behavior of the defensive objective character in the virtual environment to perform the given task when the at least one condition for the given task is satisfied.