Virtual Casino AI Bots for Social Player Interaction
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Solution Overview
Problem
Online casinos lack the social aspects of physical casinos, leading to a decrease in player engagement and interest.
Innovation Solution
Implementing artificially intelligent bots that represent various entities in a virtual casino, such as players, spectators, dealers, and staff, to recreate a more engaging and social environment through verbal and physical interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If online casinos operate without virtual entities representing other players and staff, then the system complexity is reduced, but the social aspects and player engagement are lost
Solution Approach 1:
The patent creates virtual representations (bots) that copy the behavior and interactions of real casino entities including players, dealers, and staff. These bots are trained using machine learning to replicate human social interactions, allowing the online casino to provide social aspects without requiring actual physical presence of numerous entities
Solution Approach 2:
The system dynamically adjusts parameters of virtual entities such as their behavior patterns, interaction styles, and response characteristics based on training data from real casino environments. This allows the bots to adapt their parameters to provide authentic social interactions while maintaining system manageability
2Productivity
If artificially intelligent bots are implemented to represent entities in the virtual casino, then player engagement is enhanced, but the computational resources and processing power increase
Solution Approach 1:
The bots are trained in advance using machine learning algorithms on datasets from real casino interactions. This preliminary training phase allows the bots to learn effective interaction patterns beforehand, reducing the computational resources needed during actual runtime when they engage with players in the virtual casino
Solution Approach 2:
The virtual entities autonomously generate and refine their interaction strategies through self-learning mechanisms. The bots continuously improve their engagement capabilities by analyzing their own performance and adapting their behavior, reducing the need for constant external computational intervention
Data Source
AI summary
Embodiments are directed to using artificially intelligent bots to represent automated, virtual entities in a virtual casino. According to one embodiment, providing a virtual casino can comprise maintaining a model of virtual casino interactions representing interactions between entities in a gaming environment. The interactions between entities in the gaming environment represented by the model comprise can comprise verbal communications and physical actions. A representation of the virtual casino can be presented to a user device through a communications network. A bot for an entity can be generated based on the model and a representation of the bot for the entity in the virtual casino can be presented through the communications network to the user device. The bot can interact with a human player in the virtual casino through the presented representation of the bot based on the model and using a natural language processing system.