Parallel AI Hybrid Gaming System Architecture
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Solution Overview
Problem
Current gaming machines lack the high entertainment content required to engage newer generations of players, who expect sophisticated graphics and interactive experiences, leading to a need for systems that integrate skill and chance in a visually exciting and challenging manner.
Innovation Solution
A parallel AI hybrid gaming system that combines a processing device, game world server, and AI real world server to create an interactive entertainment game where players can wager and compete against both human opponents and artificially intelligent NPCs, using a hybrid architecture that separates skill-based entertainment games from chance-based gambling elements, allowing for continuous wagering and integration of popular video game titles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gaming machines use simple game methods, then the device complexity is low, but the entertainment content is insufficient for newer generations of players
Solution Approach 1:
The system divides the gaming machine into distinct functional modules: an entertainment game module that provides skill-based gameplay with sophisticated graphics, and a gambling game module that handles wagering and chance-based outcomes. This segmentation allows each module to be optimized independently, enabling high entertainment content without proportionally increasing overall system complexity.
Solution Approach 2:
The gaming machine is designed to perform multiple functions by integrating both entertainment gaming and gambling gaming capabilities within a single device. The system can switch between skill-based entertainment modes and chance-based wagering modes, providing versatile entertainment content while consolidating hardware resources.
2Adaptability or versatility
If the system integrates skill-based entertainment games with chance-based gambling elements, then player engagement increases, but the system complexity increases
Solution Approach 1:
The system separates skill-based entertainment gameplay from chance-based gambling outcomes into distinct operational modes. The entertainment game module handles player skills and interactions, while the gambling game module independently manages wagering logic and random outcome determination. This segmentation reduces system complexity by isolating complex functions into manageable, independent modules.
Solution Approach 2:
The system introduces an intermediary mechanism that bridges the entertainment game and gambling game modules. This intermediary manages the transition between skill-based play and chance-based wagering, coordinating player actions with gambling outcomes without requiring direct complex integration between the two game types.
3Adaptability or versatility
If the system provides sophisticated graphics and interactive experiences, then entertainment content improves, but the use of energy increases
Solution Approach 1:
The system employs periodic action by rendering sophisticated graphics and interactive elements only during active entertainment game sessions rather than continuously. The display and processing resources are activated during gameplay periods and deactivated during transitions or idle states, reducing overall energy consumption while maintaining high entertainment content quality during play.
Data Source
AI summary
A parallel AI hybrid game that allows a player to play a hybrid game against an Artificially Intelligent Non-Player Character (AI NPC). In operation, the player and the AI NPC utilize different respective pseudo random or random number generators to generate respective wagering outcomes.