AI Poker Bot Management via Segmented Tournament Phases
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Solution Overview
Problem
Online poker games are exploited by players using sophisticated technological tools and artificial intelligence, leading to an unfair advantage and a decline in active players, as it is difficult to identify when players are using bots.
Innovation Solution
Implementing a system where players can select and use artificial intelligence bots, integrated with non-fungible tokens (NFTs), to level the playing field, with a pre-bubble stage where bots exclusively play and an in-the-money stage where players can optionally use bots or play themselves, using a toggle switch for hand-by-hand control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If players use sophisticated technological tools and artificial intelligence bots to gain an advantage, then playing effectiveness is improved, but fairness of competition deteriorates
Solution Approach 1:
The system performs preliminary actions by requiring all players to declare their bot usage intentions before the tournament begins. This advance declaration allows the system to establish a level playing field where all participants are subject to the same rules and monitoring, preventing unfair advantages while still allowing bot usage.
Solution Approach 2:
The system implements feedback mechanisms through immersive interfaces that allow spectators to observe bot play in real-time, and through monitoring systems that track bot performance and behavior. This transparency provides continuous feedback about bot usage, enabling the system to maintain fairness while allowing bot-assisted play.
2Reliability
If bot play is completely restricted to maintain fairness, then fairness of competition is improved, but player engagement and accessibility deteriorate
Solution Approach 1:
The tournament is segmented into different phases or types where bot usage rules vary. Some tournaments allow bot play with declaration, while others may have different rules. This segmentation allows the system to maintain fairness in each category while providing variety and engagement across different tournament types.
Solution Approach 2:
The system dynamically adjusts bot usage rules based on tournament type, player declaration, and monitoring results. Rather than a static restriction, the system adapts its approach to bot management, allowing bot play under controlled conditions in some contexts while maintaining stricter rules in others, thereby balancing fairness with player engagement.
3Ease of operation
If bot usage is allowed without detection mechanisms, then ease of operation is improved, but difficulty of detecting and measuring deteriorates
Solution Approach 1:
Players must declare their intention to use bots before the tournament begins. This preliminary action simplifies operation during play (players don't need to hide bot usage) while simultaneously making detection easy (the system knows in advance who is using bots and can monitor accordingly).
Solution Approach 2:
The system provides feedback through immersive interfaces that display information about bot play to spectators and participants. This transparency makes bot usage easily detectable and measurable, while the automated nature of bot play maintains ease of operation for players.
Data Source
AI summary
A system and method involving the use of poker bots to play poker games. In one version, poker tournaments are separated into a first “pre-bubble” stage and a second “in-the-money” stage. The pre-bubble stage lasts until each of the remaining players is eligible to win an award (e.g., if the tournament has 100 players, the pre-bubble stage may last until 10 players remain). The in-the-money stage continues from the end of the pre-bubble stage until the conclusion of the poker tournament. During the pre-bubble stage, poker bots control all play. During the in-the-money stage, players may use their bots or override their bots on a hand-by-hand basis.