Formulation of Mandatory Task Algorithm Using Task Prioritization Technique

Sean Goh Ka Hong, Azhana Ahmad, Yee Chong Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Task is defined as a set of actions in order to achieve a specific goal. A mandatory task is known as an important and urgent task that needs to be completed first before finishing other tasks. This study presents the formulation of an algorithm to assist and automate robotic appliances in selecting which incoming task needs to carried out first in real time without any much human intervention. The simulation using software agent technologies to simulate and predict real life events with human like precision. We use Analytical Hierarchy Process (AHP) technique to rank the goal, the incoming task and the mandatory task. We discovered that the algorithm has a higher consistency in task prioritization compared to the two other computer scheduling algorithm.

Original languageEnglish
Title of host publicationInternational Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538678565
DOIs
Publication statusPublished - 19 Nov 2018
Event2018 International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR 2018 - Putrajaya, Malaysia
Duration: 27 Aug 2018 → …

Publication series

NameInternational Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018

Other

Other2018 International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR 2018
CountryMalaysia
CityPutrajaya
Period27/08/18 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

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  • Cite this

    Hong, S. G. K., Ahmad, A., & Tang, Y. C. (2018). Formulation of Mandatory Task Algorithm Using Task Prioritization Technique. In International Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018 [8540542] (International Symposium on Agents, Multi-Agent Systems and Robotics 2018, ISAMSR 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAMSR.2018.8540542