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

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

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 action...

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Main Authors:	Mostafa, S.A., Gunasekaran, S.S., Ahmad, M.S., Ahmad, A., Annamalai, M., Mustapha, A.
Format:	Conference Paper
Language:	English
Published:	2017
Subjects:	autonomous agent complexity-level decision-making deliberation measures dynamic environment Layered Adjustable Autonomy (LAA) multi-agent system (MAS)
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id	my.uniten.dspace-3981
record_format	dspace
spelling	my.uniten.dspace-39812017-11-01T07:08:58Z Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model Mostafa, S.A. Gunasekaran, S.S. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. autonomous agent complexity-level decision-making deliberation measures dynamic environment Layered Adjustable Autonomy (LAA) multi-agent system (MAS) 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. 2017-11-01T05:56:51Z 2017-11-01T05:56:51Z 2014 Conference Paper https://pure.uniten.edu.my/en/persons/azhana-ahmad/publications/ 10.1109/IE.2014.15 2-s2.0-84908636731 en Proceedings - 2014 International Conference on Intelligent Environments, IE 2014
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
language	English
topic	autonomous agent complexity-level decision-making deliberation measures dynamic environment Layered Adjustable Autonomy (LAA) multi-agent system (MAS)
spellingShingle	autonomous agent complexity-level decision-making deliberation measures dynamic environment Layered Adjustable Autonomy (LAA) multi-agent system (MAS) Mostafa, S.A. Gunasekaran, S.S. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A. Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
description	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.
format	Conference Paper
author	Mostafa, S.A. Gunasekaran, S.S. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A.
author_facet	Mostafa, S.A. Gunasekaran, S.S. Ahmad, M.S. Ahmad, A. Annamalai, M. Mustapha, A.
author_sort	Mostafa, S.A.
title	Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
title_short	Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
title_full	Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
title_fullStr	Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
title_full_unstemmed	Defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
title_sort	defining tasks and actions complexity-levels via their deliberation intensity measures in the layered adjustable autonomy model
publishDate	2017
_version_	1644493586495963136
score	13.222552

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

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