Real-time multi-agent interactive decision system

A decision-making system and multi-agent technology, applied in the field of supporting autonomous decision-making systems, can solve the problems of wasting agent interaction ability and reducing interaction options, difficulty in coordinating multiple interaction decisions in a timely manner, and difficulty in making multiple agent interaction decisions, etc. Agent interaction capabilities, improved operations, effects without management intervention

Pending Publication Date: 2022-02-18
THE BOEING CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These challenges include the difficulty of making multiple agent interaction decisions, the difficulty of coordinating multiple interaction decisions in a timely manner, the difficulty of automatically adjusting to new d

Method used

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  • Real-time multi-agent interactive decision system
  • Real-time multi-agent interactive decision system
  • Real-time multi-agent interactive decision system

Examples

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Embodiment Construction

[0032] The inventive concepts will now be described more fully hereinafter with reference to the accompanying drawings, in which examples of examples of the inventive concepts are shown. However, inventive concepts may be embodied in many different forms and should not be construed as limited to the examples set forth herein. Rather, these examples are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the inventive concept to those skilled in the art. It should also be noted that these examples are not mutually exclusive. Components from one instance may default to being present / used in another instance.

[0033]The following description presents various examples of the disclosed subject matter. These examples are presented as teaching examples and should not be construed as limiting the scope of the disclosed subject matter. For example, certain details of the described examples may be modified, omitted, or expanded without ...

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Abstract

The invention relates to a real-time multi-agent interactive decision system. Determining agent/customer pairs in at least one priority layer is disclosed. Matrix values are determined for each proxy/customer pair based on the customer ranking of the proxy/customer pair. Interactive capability parameters are determined for each proxy/customer pair. A matrix value of each unlicensed agent/ranked customer value is set to zero. All possible interaction options are evaluated. Candidate pair paths are determined by determining the pair path having the highest initial path value. The initial path value for each candidate pair path is reduced based on whether a proxy/customer pair in the candidate pair path is an emergency proxy/customer pair or a risk proxy/customer pair to derive a final path value for each candidate pair path. An optimal path is determined based on a final path value for each candidate pair path. At least one interaction decision is derived based on the optimal path and is communicated to an agent in the optimal path.

Description

technical field [0001] The present disclosure relates generally to autonomous decision-making systems, and more particularly to methods and related devices for supporting autonomous decision-making systems. Background technique [0002] A Multi-Agent Interactive Decision System (MAEDS) provides timely decisions to its autonomous agents to attract high-value customers. Few MAEDS exist because there must be multiple clients and multiple autonomous agents to form the topic, but in today's business multiple client interactions with multiple agents are required. As collective use of agents without management intervention becomes more common, MAEDS that coordinate customer interactions are critical to service success and not lose important customers. [0003] MAEDS faces several challenges in multi-agent interactive decision-making. These challenges include the difficulty of making multiple agent interaction decisions, the difficulty of coordinating multiple interaction decision...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/06311G06Q10/0635G06F17/16G06N5/043G06Q10/063112G06Q10/06315
Inventor L·L·惠H·F·克里科里安
Owner THE BOEING CO
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