Publication: Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
| dc.citedby | 26 | |
| dc.contributor.author | Mostafa S.A. | en_US |
| dc.contributor.author | Gunasekaran S.S. | en_US |
| dc.contributor.author | Ahmad M.S. | en_US |
| dc.contributor.author | Ahmad A. | en_US |
| dc.contributor.author | Annamalai M. | en_US |
| dc.contributor.author | Mustapha A. | en_US |
| dc.contributor.authorid | 37036085800 | en_US |
| dc.contributor.authorid | 55652730500 | en_US |
| dc.contributor.authorid | 56036880900 | en_US |
| dc.contributor.authorid | 55390963300 | en_US |
| dc.contributor.authorid | 36138644000 | en_US |
| dc.contributor.authorid | 57200530694 | en_US |
| dc.date.accessioned | 2023-05-16T02:45:46Z | |
| dc.date.available | 2023-05-16T02:45:46Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | In Multi-agent Systems (MAS), agents perform a variety of actions to autonomously complete a number of tasks. In this paper, we describe a mechanism to measure a task's deliberation intensity and apply the mechanism in the Layered Adjustable Autonomy (LAA) model. Basically, the number of actions that the agents need to do to complete a particular task determines the task's deliberation intensity. Consequently, each of the actions deliberation intensity determines its complexity-level. Actions complexity levels are categorized as high-level if the action is deliberative, intermediate-level if the action pseudo-deliberative and low-level if the action is non-deliberative. Ultimately, the deliberation intensity measure of a task and its actions identify different aspects of the agents' and the actions' parameters including the deliberation length and the autonomy configuration of the LAA model. © 2014 IEEE. | en_US |
| dc.description.nature | Final | en_US |
| dc.identifier.ArtNo | 6910426 | |
| dc.identifier.doi | 10.1109/IE.2014.15 | |
| dc.identifier.epage | 55 | |
| dc.identifier.scopus | 2-s2.0-84908636731 | |
| dc.identifier.spage | 52 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908636731&doi=10.1109%2fIE.2014.15&partnerID=40&md5=f194bb1c3af2a0c02e64c3e1277c0e29 | |
| dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/21863 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.source | Scopus | |
| dc.sourcetitle | Proceedings - 2014 International Conference on Intelligent Environments, IE 2014 | |
| dc.title | Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication |