Cellular Automaton Engine for Dynamic Communication Procedure Selection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems face challenges in automatically and dynamically determining procedures for electronic communications, leading to manual intervention and inefficiencies, especially when responses require data retrieval from multiple storage components.

Innovation Solution

A system utilizing cellular automaton processing to identify enquiry messages, determine case types, trigger intelligent classification components, and select procedures through a cellular automaton engine, thereby generating responses with minimal manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual intervention is used to handle electronic messages, then accuracy and judgment can be maintained, but productivity decreases significantly when tens of thousands of messages are received daily

Engineering Contradiction:

ImproveaccuracyVSAvoidprocessing capacity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system enables electronic messages to be processed automatically through a cellular automaton engine that autonomously determines procedures, selects actions, and generates responses without requiring manual human intervention for routine messages, thereby maintaining high processing capacity while reducing the need for human accuracy verification

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual human processing with an automated cellular automaton-based system that uses computational rules and algorithms to handle electronic messages, substituting mechanical human action with an automated computational mechanism that can process large volumes of messages efficiently

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automatic processing is implemented, then productivity increases, but the system complexity increases when requiring data retrieval from multiple storage components and databases

Engineering Contradiction:

Improveprocessing speedVSAvoidsystem architecture

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the processing function into distinct modular components including a cellular automaton engine for decision-making, intelligent classification components for categorization, and validation interface components for verification, allowing each module to handle specific aspects of message processing independently and reducing overall system complexity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs dynamic procedure determination where the cellular automaton engine adapts its processing steps based on the type of message and required data, allowing the system to flexibly adjust its complexity level for different processing scenarios rather than maintaining a fixed complex architecture for all cases

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If dynamic procedure determination is used, then adaptability improves for different message types, but the processing time increases when searching for and gathering data from multiple sources

Engineering Contradiction:

ImproveflexibilityVSAvoidresponse time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary classification of messages into case types before proceeding to procedure determination, and pre-identifies required data sources, allowing the cellular automaton engine to execute more efficient search and gathering operations rather than performing all actions sequentially, thereby reducing overall processing time while maintaining adaptability

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250159072A1Systems and methods for dynamically determining procedures for electronic communications using cellular automaton processing

Publication Date: 2025.05.15 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for dynamically determining procedures for electronic communications using cellular automaton processing. The present invention is configured to identify at least one enquiry message; determine, based on the an enquiry message(s), a case type(s) associated with the enquiry message(s); trigger an intelligent classification component, wherein the intelligent classification component is configured to determine a procedure(s) for the enquiry message(s); trigger a cellular automaton engine which comprises an array of a plurality of cells in a grid-based structure, and wherein the cellular automaton engine is configured to select and perform at least one procedure for the enquiry message(s); determine, by the cellular automaton engine, a best procedure based on the selection and performance of the procedure(s) for the enquiry message(s); and generate a response(s) for the enquiry message(s) based on the determined best procedure by the cellular automaton engine.