Latency Reporting for Multiagent Decision Systems

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Solution Overview

Problem

In coordinated multiagent systems, such as autonomous vehicles and drones, latency in data processing and transfer poses a significant challenge for fast and reliable decision-making, as it can lead to delayed or inaccurate responses in critical situations, compromising safety and efficiency.

Innovation Solution

Implementing a system that allows agents to report predicted latency and share sensor analysis status before data processing is complete, utilizing 5G New Radio technology for low-latency communication, and incorporating decision logic that weighs latency in decision-making processes to determine whether to wait for accurate data or proceed with available information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the system waits for complete data processing from all agents before making decisions, then measurement precision is improved, but loss of time increases

Engineering Contradiction:

Improvedata accuracyVSAvoiddecision latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by obtaining latency estimates from remote processing units before actually receiving the processed sensor data. This allows the decision system to pre-determine whether to wait for the data or proceed with available information, resolving the timing-accuracy tradeoff in advance rather than during critical decision moments

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The decision-making approach is made dynamic by adjusting the waiting strategy based on real-time latency estimates. The system can adaptively choose between waiting for accurate data or proceeding with available information depending on the urgency and the predicted processing time, allowing flexible response to varying operational conditions

Inventive Principle:

Principle #15Dynamics

2Loss of time

If the system proceeds with available information without waiting for complete data processing, then loss of time is reduced, but measurement precision deteriorates

Engineering Contradiction:

Improvedecision speedVSAvoiddata accuracy

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The system uses feedback from latency estimates to inform the decision-making process. By receiving predicted processing times from remote units, the decision system can determine whether the anticipated wait time justifies the accuracy improvement, or if proceeding with available information is the better choice given the operational context

Inventive Principle:

Principle #23Feedback

3Reliability

If the system obtains latency estimates from remote processing units, then reliability of decision-making is improved, but device complexity increases

Engineering Contradiction:

Improvedecision reliabilityVSAvoidsystem architecture

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The decision system is designed with multi-functionality, serving both as a local decision maker and as a coordinator that aggregates latency information from multiple remote processing units. This universal approach allows the same system to handle both immediate local decisions and coordinated multi-agent decisions with latency awareness

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10909017B2Latency reporting for algorithm weighting in multiagent systems

Publication Date: 2021.02.02 INTEL CORP

AI summary

An apparatus of a multiagent system comprises a processing unit to process a unit of analysis on sensor data received from a sensor, and to provide a latency estimate to process the unit of analysis, and a decision system coupled with the processing unit to execute a decision process in response to an event, wherein the decision system utilizes the latency estimate as part of the decision process.