Dennis, L.A., Aitken, J.M. orcid.org/0000-0003-4204-4020, Collenette, J. et al. (8 more authors) (2016) Agent-based autonomous systems and abstraction engines: Theory meets practice. In: Alboul , L., Damian, D. and Aitken, J., (eds.) Towards Autonomous Robotic Systems. 17th Annual Conference, Towards Autonomous Robotics, TAROS 2016, 26 June 26 - 1 July, 2016, Sheffield . Lecture Notes in Computer Science (9716). Springer, Cham , pp. 75-86. ISBN 9783319403786
Abstract
We report on experiences in the development of hybrid autonomous systems where high-level decisions are made by a rational agent. This rational agent interacts with other sub-systems via an abstraction engine. We describe three systems we have developed using the EASS BDI agent programming language and framework which supports this architecture. As a result of these experiences we recommend changes to the theoretical operational semantics that underpins the EASS framework and present a fourth implementation using the new semantics.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 Springer. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.The final publication is available at Springer via http://dx.doi.org/ 10.1007/978-3-319-40379-3. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 10 Jul 2017 12:09 |
Last Modified: | 29 Mar 2018 04:09 |
Published Version: | https://doi.org/10.1007/978-3-319-40379-3_8 |
Status: | Published |
Publisher: | Springer, Cham |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-40379-3_8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118635 |