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Multi-agent modeling and expert system-based device for generating optimal release policy of crowd-sourcing platform

An expert system and multi-agent technology, applied in genetic models, instruments, software simulation/interpretation/simulation, etc., can solve problems that do not take into account the impact of online worker systems, and achieve prosperity, efficiency, and a better society The effect of economic services

Inactive Publication Date: 2017-05-24
DALIAN UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of them take into account the characteristics of task demanders, tasks, and online workers in the crowdsourcing business, and the impact of the relationship between them on the entire system
At the same time, crowdsourcing tasks designed based on statistical data and experience cannot achieve expected performance indicators under various uncertain conditions

Method used

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  • Multi-agent modeling and expert system-based device for generating optimal release policy of crowd-sourcing platform
  • Multi-agent modeling and expert system-based device for generating optimal release policy of crowd-sourcing platform
  • Multi-agent modeling and expert system-based device for generating optimal release policy of crowd-sourcing platform

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Embodiment Construction

[0029] The technical scheme of the present invention is described in conjunction with the accompanying drawings and specific embodiments,

[0030] In order to demonstrate the specific use of the present invention, tasks are placed on the popular crowdsourcing platform Amazon Mechanical Turk (AMT) for testing. The task placed on AMT is a surveillance video of a parking lot, which requires online workers to record the time when vehicles enter and leave the parking lot.

[0031] Table 1 lists all task setting parameters and corresponding actual performance parameters. On the one hand, these data are stored in the case library of the expert system, and on the other hand, they are used to train and calibrate the simulation model of the crowdsourcing platform based on the agent.

[0032] Table 1 Task setting parameters and corresponding performance indicators

[0033]

[0034] First, the expected performance indicators are that the task accuracy rate is higher than 97%, and the c...

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Abstract

The invention belongs to the technical field of computer applications. A multi-agent simulation model synchronously evolved together with a crowd-sourcing platform is built, and a crowd-sourcing task design policy generator having robustness and still capable of achieving an expected goal in various uncertain conditions is provided according to the simulation model. A computer simulation model synchronously evolved together with the crowd-sourcing platform is built based on agent simulation in combination with an expert system, and a crowd-sourcing task design generator having robustness in various uncertain conditions is constructed according to the computer simulation model. A task design scheme generated by a genetic algorithm-based task design generator can achieve an expected goal in various uncertain conditions and has very high robustness. A task designed in the above way not only meets the requirements of a company on quality and progress but also keeps a sustainable online worker group, thereby facilitating crowd-sourcing businesses to be thriving and prosperous, and better serving social economy.

Description

technical field [0001] The invention belongs to the field of computer application technology, and relates to a crowdsourcing platform optimal delivery strategy generator based on multi-agent modeling and expert system Background technique [0002] Crowdsourcing is a new business model that distributes work to a large number of online workers distributed around the world through the Internet. However, unlike traditional outsourcing business, there is no contractual constraint between task demanders and online workers in crowdsourcing business, and online workers are completely anonymous, which brings huge challenges to quality control and progress control. Different settings and different delivery strategies for the same task on the crowdsourcing platform will result in different completion quality and completion time. Therefore, under the premise of given target quality and target progress, how to design and how to deliver tasks is an unavoidable problem for every decision-...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F17/30G06N3/12
CPCG06F9/45554G06F16/2462G06N3/126
Inventor 邹广宇李彤
Owner DALIAN UNIV OF TECH
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