# US 2019/0318257 A1 · Assessment and response mechanism for autonomous systems

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- Number: US 2019/0318257 A1
- Document ID: US20190318257A1
- Status: Published application
- Kind: A1
- Application number: 16/456,937
- Filed: 2019-06-28
- Published: 2019-10-17
- Earliest claimed: 2019-06-28
- Assignees: Intel Corporation
- Inventors: Helen Adrienne Frances Gould; Ignacio Javier Alvarez Martinez; David W. Browning
- Web page: https://patentgrep.com/patent/US20190318257A1

## CPC

- G06N 5/022: Knowledge engineering; Knowledge acquisition
- G06N 5/04: Inference or reasoning models
- G06F 9/45558: {Hypervisor-specific management and integration aspects}
- G06N 20/00: Machine learning
- G06F 2009/45595: {Network integration; Enabling network access in virtual machine instances}
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

Various systems and methods for implementing an assessment and response mechanism for autonomous systems are described herein. An assessment and response system for an autonomous system is configured to access a realm classification of an event; determine a hazard score based on the realm classification, a severity metric, a likelihood metric, an urgency metric, and a confidence level metric; identify, based on the hazard score, a responsive action; and record details of the hazard score determination and the responsive action in a decision ledger.

## Claims

### Claim 1

An assessment and response system for an autonomous system comprising:
a processor subsystem; and
a memory device including instructions, which when executed by the processor subsystem, cause the processor subsystem to:
access a realm classification of an event;
determine a hazard score based on the realm classification, a severity metric, a likelihood metric, an urgency metric, and a confidence level metric;
identify, based on the hazard score, a responsive action; and
record details of the hazard score determination and the responsive action in a decision ledger.

### Claim 2 (depends on 1)

The system of claim 1, wherein the realm classification is performed by a realm calculator that analyzes the event and classifies the event into one of a known domain or an unknown domain, the known domain including recognized events and the unknown domain including unrecognized events.

### Claim 3 (depends on 2)

The system of claim 2, wherein the realm calculator is to further classify the event as having one of an acceptable outcome or an unacceptable outcome.

### Claim 4 (depends on 1)

The system of claim 1, wherein to determine the hazard score, the processor subsystem is to determine the severity metric based on the event.

### Claim 5 (depends on 1)

The system of claim 1, wherein to determine the hazard score, the processor subsystem is to determine the likelihood metric based on the event.

### Claim 6 (depends on 5)

The system of claim 5, wherein the likelihood metric includes an exposure metric.

### Claim 7 (depends on 5)

The system of claim 5, wherein the likelihood metric includes a controllability metric.

### Claim 8 (depends on 1)

The system of claim 1, wherein to determine the hazard score, the processor subsystem is to determine the urgency metric based on the event.

### Claim 9 (depends on 1)

The system of claim 1, wherein to determine the hazard score, the processor subsystem is to determine the confidence level metric based on the severity metric, the likelihood metric, the urgency metric, and the event.

### Claim 10 (depends on 1)

The system of claim 1, wherein to determine the hazard score, the processor subsystem is to multiply the severity metric, the likelihood metric, the urgency metric, and the confidence level metric.

### Claim 11 (depends on 1)

The system of claim 1, wherein to identify the responsive action, the processor subsystem is to:
obtain a plurality of possible responsive actions;
access a policy bank to obtain evaluation rules to evaluate the possible responsive actions; and
select the responsive action based on, at least in part, the evaluation rules from the policy bank.

### Claim 12 (depends on 1)

The system of claim 1, wherein to record details of the hazard score determination and the responsive action in the decision ledger, the processor subsystem is to:
access a blockchain; and
write the details of the hazard score determination and the responsive action to the blockchain.

### Claim 13

A method of providing an assessment and response system for an autonomous system, the method comprising:
accessing a realm classification of an event;
determining a hazard score based on the realm classification, a severity metric, a likelihood metric, an urgency metric, and a confidence level metric;
identifying, based on the hazard score, a responsive action; and
recording details of the hazard score determination and the responsive action in a decision ledger.

### Claim 14 (depends on 13)

The method of claim 13, wherein the realm classification is determined by analyzing the event and classifying the event into one of a known domain or an unknown domain, the known domain including recognized events and the unknown domain including unrecognized events.

### Claim 15 (depends on 14)

The method of claim 14, comprising classifying the event as having one of an acceptable outcome or an unacceptable outcome.

### Claim 16 (depends on 13)

The method of claim 13, wherein determining the hazard score comprises determining the severity metric based on the event.

### Claim 17 (depends on 13)

The method of claim 13, wherein determining the hazard score comprises determining the likelihood metric based on the event.

### Claim 18 (depends on 17)

The method of claim 17, wherein the likelihood metric includes an exposure metric.

### Claim 19 (depends on 17)

The method of claim 17, wherein the likelihood metric includes a controllability metric.

### Claim 20 (depends on 13)

The method of claim 13, wherein determining the hazard score comprises determining the urgency metric based on the event.

### Claim 21

At least one machine-readable medium including instructions for providing an assessment and response system for an autonomous system, which when executed by a machine, cause the machine to:
access a realm classification of an event;
determine a hazard score based on the realm classification, a severity metric, a likelihood metric, an urgency metric, and a confidence level metric,
identify, based on the hazard score, a responsive action; and
record details of the hazard score determination and the responsive action in a decision ledger.

### Claim 22 (depends on 21)

The at least one machine-readable medium of claim 21, wherein to determine the hazard score, the instructions cause the machine to determine the confidence level metric based on the severity metric, the likelihood metric, the urgency metric, and the event.

### Claim 23 (depends on 21)

The at least one machine-readable medium of claim 21, wherein to determine the hazard score, the processor subsystem is to multiply the severity metric, the likelihood metric, the urgency metric, and the confidence level metric.

### Claim 24 (depends on 21)

The at least one machine-readable medium of claim 21, wherein to identify the responsive action, the instructions cause the machine to:
obtain a plurality of possible responsive actions;
access a policy bank to obtain evaluation rules to evaluate the possible responsive actions; and
select the responsive action based on, at least in part, the evaluation rules from the policy bank.

### Claim 25 (depends on 21)

The at least one machine-readable medium of claim 21, wherein to record details of the hazard score determination and the responsive action in the decision ledger, the instructions cause the machine to:
access a blockchain; and
write the details of the hazard score determination and the responsive action to the blockchain.