Live Event Simulation Database for Probability Calculation

Solution Overview

Problem

Existing systems for modeling live events face challenges due to the computational impracticality of brute-force approaches, which become computationally intensive as the number of combinations of events increases, leading to high memory and processing power requirements.

Innovation Solution

The system utilizes results from simulations of live events to estimate the probability of combinations of events requested by client devices, employing computer-based filtering approaches to reduce computational resources required, making it practical to process requests from large numbers of client devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If brute-force approaches are used to calculate probabilities of all possible outcomes, then measurement precision is improved, but use of energy and device complexity increase exponentially

Engineering Contradiction:

Improveprobability calculation accuracyVSAvoidcomputational energy consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary simulations of the live event to generate a database of possible outcomes and their probabilities before the actual event occurs. This preliminary action allows the system to avoid computationally intensive brute-force calculations during real-time operation, instead querying pre-computed simulation results to answer probability requests.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates virtual copies of the live event through simulations, generating multiple virtual instances of the event with different possible outcomes. These simulation copies allow the system to pre-calculate probabilities for various outcome combinations without requiring exhaustive computation during actual event processing, thereby reducing real-time energy consumption.

Inventive Principle:

Principle #26Copying

2Measurement precision

If brute-force approaches are used to calculate probabilities of all possible outcomes, then measurement precision is improved, but device complexity increases exponentially

Engineering Contradiction:

Improveprobability calculation accuracyVSAvoidcomputational system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary simulations of the live event to generate a database of possible outcomes and their probabilities before the actual event occurs. This preliminary action allows the system to avoid computationally intensive brute-force calculations during real-time operation, instead querying pre-computed simulation results to answer probability requests.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces simulation results as an intermediary between the live event and the probability calculation. Instead of directly computing probabilities through complex brute-force methods, the system uses pre-computed simulation data as a mediator to quickly determine outcome probabilities, thereby reducing the complexity of the computational system required for real-time processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If brute-force approaches are used to process requests from large numbers of client devices, then measurement precision is improved, but productivity decreases due to computational impracticality

Engineering Contradiction:

Improveprobability calculation accuracyVSAvoidrequest processing throughput

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary simulations of the live event to generate a database of possible outcomes and their probabilities before the actual event occurs. This preliminary action allows the system to avoid computationally intensive brute-force calculations during real-time operation, instead querying pre-computed simulation results to answer probability requests.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates virtual copies of the live event through simulations, generating multiple virtual instances of the event with different possible outcomes. These simulation copies allow the system to pre-calculate probabilities for various outcome combinations without requiring exhaustive computation during actual event processing, thereby reducing real-time energy consumption.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250148166A1Systems and methods for modeling live events

Publication Date: 2025.05.08 DK CROWN HOLDINGS INC

AI summary

Systems and methods for modeling live events are disclosed. A system can maintain results of simulations of a plurality of live events. The results can correspond to a plurality of conditional events that occur during each simulation. The system can receive selections of candidate outcomes for the conditional events to occur during a live event from a computing device, and identify a subset of the simulations having outcomes that correspond to the selections of the candidate outcomes. The system can generate an odds value based on a number of simulations in the subset and the total number of simulations for the live event, and can provide the odds value for presentation at the computing device.