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Towards Collaborative Adaptive Autonomous Agents
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5224-8302
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5832-5452
2017 (English)In: ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2017, p. 78-87Conference paper, Published paper (Refereed)
Abstract [en]

Adaptive autonomy enables agents operating in an environment to change, or adapt, their autonomy levels by relying on tasks executed by others. Moreover, tasks could be delegated between agents, and as a result decision-making concerning them could also be delegated. In this work, adaptive autonomy is modeled through the willingness of agents to cooperate in order to complete abstract tasks, the latter with varying levels of dependencies between them. Furthermore, it is sustained that adaptive autonomy should be considered at an agent's architectural level. Thus the aim of this paper is two-fold. Firstly, the initial concept of an agent architecture is proposed and discussed from an agent interaction perspective. Secondly, the relations between static values of willingness to help, dependencies between tasks and overall usefulness of the agents' population are analysed. The results show that a unselfish population will complete more tasks than a selfish one for low dependency degrees. However, as the latter increases more tasks are dropped, and consequently the utility of the population degrades. Utility is measured by the number of tasks that the population completes during run-time. Finally, it is shown that agents are able to finish more tasks by dynamically changing their willingness to cooperate.

Place, publisher, year, edition, pages
2017. p. 78-87
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-34097ISI: 000413243500007OAI: oai:DiVA.org:mdh-34097DiVA, id: diva2:1056453
Conference
9th International Conference on Agents and Artificial Intelligence 2017 ICAART, 24 Feb 2017, Porto, Portugal
Projects
EUROWEB - European Resaerch and Education Collaboration with Western BalkanDPAC - Dependable Platforms for Autonomous systems and ControlAvailable from: 2016-12-14 Created: 2016-12-13 Last updated: 2018-07-18Bibliographically approved
In thesis
1. Collaborative Adaptive Autonomous Agents
Open this publication in new window or tab >>Collaborative Adaptive Autonomous Agents
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Mälardalen University Press, 2018
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 271
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-40255 (URN)978-91-7485-399-5 (ISBN)
Presentation
2018-09-14, Gamma, Mälardalens högskola, Västerås, 09:15 (English)
Opponent
Supervisors
Available from: 2018-07-19 Created: 2018-07-18 Last updated: 2018-08-24Bibliographically approved

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Frasheri, MirgitaCürüklü, BaranEkström, Mikael

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