A conceptual model of layered adjustable autonomy

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

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

12 Citations (Scopus)

Abstract

Autonomy and autonomous agents are currently the most researched topics in autonomous systems. Issues like autonomy adjustment, autonomy level, and the required degree of autonomy to be performed are investigated. Abstracting an autonomy model poses the problem of identifying specific aspects that merit an autonomous system. In this paper, we propose another model of autonomy that conceptualizes autonomy as a spectrum, which is constructed in a layered structure of a multi-agent environment called Layered Adjustable Autonomy (LAA). The autonomy spectrum of the LAA is divided into adjustable-leveled layers. Each of which has distinct attributes and properties that assist an agent in managing the influences of the environment during its decision-making process. The LAA structure is designed to endorse an agent's qualification to make a decision by setting the degree of autonomy to the agent's choice of decision-making. An Autonomy Analysis Module (AAM) is also proposed to control and delegate the agent's actions at specific autonomy levels. Hence, the AAM determines the threshold of the agent autonomy level to act in its qualified layer. Ultimately, the proposed LAA model will be implemented on an air drone for the purpose of testing and refinement.

Original languageEnglish
Title of host publicationAdvances in Information Systems and Technologies
PublisherSpringer Verlag
Pages619-630
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

Decision making
Autonomous agents
Testing
Air
Drones

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 conceptual model of layered adjustable autonomy. In Advances in Information Systems and Technologies (pp. 619-630). (Advances in Intelligent Systems and Computing; Vol. 206 AISC). Springer Verlag. https://doi.org/10.1007/978-3-642-36981-0_57
Mostafa, Salama A. ; Ahmad, Mohd Sharifuddin ; Annamalai, Muthukkaruppan ; Ahmad, Azhana ; Gunasekaran, Saraswathy Shamini. / A conceptual model of layered adjustable autonomy. Advances in Information Systems and Technologies. Springer Verlag, 2013. pp. 619-630 (Advances in Intelligent Systems and Computing).
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Mostafa, SA, Ahmad, MS, Annamalai, M, Ahmad, A & Gunasekaran, SS 2013, A conceptual model of layered adjustable autonomy. in Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 206 AISC, Springer Verlag, pp. 619-630, 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_57

A conceptual model of layered adjustable autonomy. / Mostafa, Salama A.; Ahmad, Mohd Sharifuddin; Annamalai, Muthukkaruppan; Ahmad, Azhana; Gunasekaran, Saraswathy Shamini.

Advances in Information Systems and Technologies. Springer Verlag, 2013. p. 619-630 (Advances in Intelligent Systems and Computing; Vol. 206 AISC).

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

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Mostafa SA, Ahmad MS, Annamalai M, Ahmad A, Gunasekaran SS. A conceptual model of layered adjustable autonomy. In Advances in Information Systems and Technologies. Springer Verlag. 2013. p. 619-630. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-642-36981-0_57