A dynamically adjustable autonomic agent framework

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

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

14 Citations (Scopus)

Abstract

The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict.

Original languageEnglish
Title of host publicationAdvances in Information Systems and Technologies
PublisherSpringer Verlag
Pages631-642
Number of pages12
ISBN (Print)9783642369803
DOIs
Publication statusPublished - 01 Jan 2013
Event2013 World Conference on Information Systems and Technologies, WorldCIST 2013 - Olhao, Algarve, Portugal
Duration: 27 Mar 201330 Mar 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume206 AISC
ISSN (Print)2194-5357

Other

Other2013 World Conference on Information Systems and Technologies, WorldCIST 2013
CountryPortugal
CityOlhao, Algarve
Period27/03/1330/03/13

Fingerprint

Software agents
Controllers

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Mostafa, S. A., Ahmad, M. S., Annamalai, M., Ahmad, A., & Gunasekaran, S. S. (2013). A dynamically adjustable autonomic agent framework. In Advances in Information Systems and Technologies (pp. 631-642). (Advances in Intelligent Systems and Computing; Vol. 206 AISC). Springer Verlag. https://doi.org/10.1007/978-3-642-36981-0_58
Mostafa, Salama A. ; Ahmad, Mohd Sharifuddin ; Annamalai, Muthukkaruppan ; Ahmad, Azhana ; Gunasekaran, Saraswathy Shamini. / A dynamically adjustable autonomic agent framework. Advances in Information Systems and Technologies. Springer Verlag, 2013. pp. 631-642 (Advances in Intelligent Systems and Computing).
@inproceedings{93603bfedb2a45ecbb29b15f2da1fadf,
title = "A dynamically adjustable autonomic agent framework",
abstract = "The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict.",
author = "Mostafa, {Salama A.} and Ahmad, {Mohd Sharifuddin} and Muthukkaruppan Annamalai and Azhana Ahmad and Gunasekaran, {Saraswathy Shamini}",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/978-3-642-36981-0_58",
language = "English",
isbn = "9783642369803",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "631--642",
booktitle = "Advances in Information Systems and Technologies",
address = "Germany",

}

Mostafa, SA, Ahmad, MS, Annamalai, M, Ahmad, A & Gunasekaran, SS 2013, A dynamically adjustable autonomic agent framework. in Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 206 AISC, Springer Verlag, pp. 631-642, 2013 World Conference on Information Systems and Technologies, WorldCIST 2013, Olhao, Algarve, Portugal, 27/03/13. https://doi.org/10.1007/978-3-642-36981-0_58

A dynamically adjustable autonomic agent framework. / Mostafa, Salama A.; Ahmad, Mohd Sharifuddin; Annamalai, Muthukkaruppan; Ahmad, Azhana; Gunasekaran, Saraswathy Shamini.

Advances in Information Systems and Technologies. Springer Verlag, 2013. p. 631-642 (Advances in Intelligent Systems and Computing; Vol. 206 AISC).

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

TY - GEN

T1 - A dynamically adjustable autonomic agent framework

AU - Mostafa, Salama A.

AU - Ahmad, Mohd Sharifuddin

AU - Annamalai, Muthukkaruppan

AU - Ahmad, Azhana

AU - Gunasekaran, Saraswathy Shamini

PY - 2013/1/1

Y1 - 2013/1/1

N2 - The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict.

AB - The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it's local and global desires do not conflict.

UR - http://www.scopus.com/inward/record.url?scp=84876204152&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876204152&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-36981-0_58

DO - 10.1007/978-3-642-36981-0_58

M3 - Conference contribution

SN - 9783642369803

T3 - Advances in Intelligent Systems and Computing

SP - 631

EP - 642

BT - Advances in Information Systems and Technologies

PB - Springer Verlag

ER -

Mostafa SA, Ahmad MS, Annamalai M, Ahmad A, Gunasekaran SS. A dynamically adjustable autonomic agent framework. In Advances in Information Systems and Technologies. Springer Verlag. 2013. p. 631-642. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-642-36981-0_58