loading
Documents

Research.Publish.Connect.

Paper

Authors: Mirgita Frasheri ; Baran Cürüklü and Mikael Ekstroem

Affiliation: Mälardalen University, Sweden

ISBN: 978-989-758-219-6

Keyword(s): Adaptive Autonomy, Autonomous Systems, Agent Architectures, Collaborative Agents, Multi-robot Systems.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: 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. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.175.200.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Frasheri, M.; Cürüklü, B. and Ekstroem, M. (2017). Towards Collaborative Adaptive Autonomous Agents.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 78-87. DOI: 10.5220/0006195500780087

@conference{icaart17,
author={Mirgita Frasheri. and Baran Cürüklü. and Mikael Ekstroem.},
title={Towards Collaborative Adaptive Autonomous Agents},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={78-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006195500780087},
isbn={978-989-758-219-6},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Towards Collaborative Adaptive Autonomous Agents
SN - 978-989-758-219-6
AU - Frasheri, M.
AU - Cürüklü, B.
AU - Ekstroem, M.
PY - 2017
SP - 78
EP - 87
DO - 10.5220/0006195500780087

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.