Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model

Salama A. Mostafa, Saraswathy Shamini Gunasekaran, Mohd Sharifuddin Ahmad, Azhana Ahmad, Muthukkaruppan Annamalai, Aida Mustapha

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

13 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Intelligent Environments, IE 2014
EditorsMinjuan Wang, Liping Shen, Ruimin Shen, Tongzhen Zhang, Jianbo Su, Juan Carlos Augusto, Minjuan Wang, Simon Egerton, Vic Callaghan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages52-55
Number of pages4
ISBN (Electronic)9781479929474
DOIs
Publication statusPublished - 25 Sep 2014
Event10th International Conference on Intelligent Environments, IE 2014 - Shanghai, China
Duration: 30 Jun 201404 Jul 2014

Publication series

NameProceedings - 2014 International Conference on Intelligent Environments, IE 2014

Other

Other10th International Conference on Intelligent Environments, IE 2014
CountryChina
CityShanghai
Period30/06/1404/07/14

Fingerprint

Multi agent systems

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Mostafa, S. A., Gunasekaran, S. S., Ahmad, M. S., Ahmad, A., Annamalai, M., & Mustapha, A. (2014). Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model. In M. Wang, L. Shen, R. Shen, T. Zhang, J. Su, J. C. Augusto, M. Wang, S. Egerton, ... V. Callaghan (Eds.), Proceedings - 2014 International Conference on Intelligent Environments, IE 2014 (pp. 52-55). [6910426] (Proceedings - 2014 International Conference on Intelligent Environments, IE 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IE.2014.15
Mostafa, Salama A. ; Gunasekaran, Saraswathy Shamini ; Ahmad, Mohd Sharifuddin ; Ahmad, Azhana ; Annamalai, Muthukkaruppan ; Mustapha, Aida. / Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model. Proceedings - 2014 International Conference on Intelligent Environments, IE 2014. editor / Minjuan Wang ; Liping Shen ; Ruimin Shen ; Tongzhen Zhang ; Jianbo Su ; Juan Carlos Augusto ; Minjuan Wang ; Simon Egerton ; Vic Callaghan. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 52-55 (Proceedings - 2014 International Conference on Intelligent Environments, IE 2014).
@inproceedings{9637c198d1fc4c8697afbdd98ebcbc9a,
title = "Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model",
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.",
author = "Mostafa, {Salama A.} and Gunasekaran, {Saraswathy Shamini} and Ahmad, {Mohd Sharifuddin} and Azhana Ahmad and Muthukkaruppan Annamalai and Aida Mustapha",
year = "2014",
month = "9",
day = "25",
doi = "10.1109/IE.2014.15",
language = "English",
series = "Proceedings - 2014 International Conference on Intelligent Environments, IE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "52--55",
editor = "Minjuan Wang and Liping Shen and Ruimin Shen and Tongzhen Zhang and Jianbo Su and Augusto, {Juan Carlos} and Minjuan Wang and Simon Egerton and Vic Callaghan",
booktitle = "Proceedings - 2014 International Conference on Intelligent Environments, IE 2014",
address = "United States",

}

Mostafa, SA, Gunasekaran, SS, Ahmad, MS, Ahmad, A, Annamalai, M & Mustapha, A 2014, Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model. in M Wang, L Shen, R Shen, T Zhang, J Su, JC Augusto, M Wang, S Egerton & V Callaghan (eds), Proceedings - 2014 International Conference on Intelligent Environments, IE 2014., 6910426, Proceedings - 2014 International Conference on Intelligent Environments, IE 2014, Institute of Electrical and Electronics Engineers Inc., pp. 52-55, 10th International Conference on Intelligent Environments, IE 2014, Shanghai, China, 30/06/14. https://doi.org/10.1109/IE.2014.15

Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model. / Mostafa, Salama A.; Gunasekaran, Saraswathy Shamini; Ahmad, Mohd Sharifuddin; Ahmad, Azhana; Annamalai, Muthukkaruppan; Mustapha, Aida.

Proceedings - 2014 International Conference on Intelligent Environments, IE 2014. ed. / Minjuan Wang; Liping Shen; Ruimin Shen; Tongzhen Zhang; Jianbo Su; Juan Carlos Augusto; Minjuan Wang; Simon Egerton; Vic Callaghan. Institute of Electrical and Electronics Engineers Inc., 2014. p. 52-55 6910426 (Proceedings - 2014 International Conference on Intelligent Environments, IE 2014).

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

TY - GEN

T1 - Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model

AU - Mostafa, Salama A.

AU - Gunasekaran, Saraswathy Shamini

AU - Ahmad, Mohd Sharifuddin

AU - Ahmad, Azhana

AU - Annamalai, Muthukkaruppan

AU - Mustapha, Aida

PY - 2014/9/25

Y1 - 2014/9/25

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84908636731&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908636731&partnerID=8YFLogxK

U2 - 10.1109/IE.2014.15

DO - 10.1109/IE.2014.15

M3 - Conference contribution

AN - SCOPUS:84908636731

T3 - Proceedings - 2014 International Conference on Intelligent Environments, IE 2014

SP - 52

EP - 55

BT - Proceedings - 2014 International Conference on Intelligent Environments, IE 2014

A2 - Wang, Minjuan

A2 - Shen, Liping

A2 - Shen, Ruimin

A2 - Zhang, Tongzhen

A2 - Su, Jianbo

A2 - Augusto, Juan Carlos

A2 - Wang, Minjuan

A2 - Egerton, Simon

A2 - Callaghan, Vic

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Mostafa SA, Gunasekaran SS, Ahmad MS, Ahmad A, Annamalai M, Mustapha A. Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model. In Wang M, Shen L, Shen R, Zhang T, Su J, Augusto JC, Wang M, Egerton S, Callaghan V, editors, Proceedings - 2014 International Conference on Intelligent Environments, IE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 52-55. 6910426. (Proceedings - 2014 International Conference on Intelligent Environments, IE 2014). https://doi.org/10.1109/IE.2014.15