The Library
Emergence of norms in interactions with complex rewards
Tools
Abeywickrama, Dhaminda B., Griffiths, Nathan, Xu, Zhou and Mouzakitis, Alex (2022) Emergence of norms in interactions with complex rewards. Autonomous Agents and Multi-Agent Systems, 37 . 2. doi:10.1007/s10458-022-09585-3 ISSN 1387-2532.
|
PDF
WRAP-emergence-of-norms-in-interactions-with-complex-rewards-Griffiths-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (4Mb) | Preview |
|
PDF
WRAP-Emergence-of-norms-in-interactions-with-complex-rewards-Griffiths-2022.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (4Mb) |
Official URL: https://doi.org/10.1007/s10458-022-09585-3
Abstract
Autonomous agents are becoming increasingly ubiquitous and are playing an increasing role in wide range of safety-critical systems, such as driverless cars, exploration robots and unmanned aerial vehicles. These agents operate in highly dynamic and heterogeneous environments, resulting in complex behaviour and interactions. Therefore, the need arises to model and understand more complex and nuanced agent interactions than have previously been studied. In this paper, we propose a novel agent-based modelling approach to investigating norm emergence, in which such interactions can be investigated. To this end, while there may be an ideal set of optimally compatible actions there are also combinations that have positive rewards and are also compatible. Our approach provides a step towards identifying the conditions under which globally compatible norms are likely to emerge in the context of complex rewards. Our model is illustrated using the motivating example of self-driving cars, and we present the scenario of an autonomous vehicle performing a left-turn at a T-intersection
Item Type: | Journal Article | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics |
|||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||
Library of Congress Subject Headings (LCSH): | Automated vehicles, Mathematical models, Artificial intelligence -- Engineering applications, Intelligent agents (Computer software) -- Mathematical models | |||||||||
Journal or Publication Title: | Autonomous Agents and Multi-Agent Systems | |||||||||
Publisher: | Springer New York LLC | |||||||||
ISSN: | 1387-2532 | |||||||||
Official Date: | 26 October 2022 | |||||||||
Dates: |
|
|||||||||
Volume: | 37 | |||||||||
Article Number: | 2 | |||||||||
DOI: | 10.1007/s10458-022-09585-3 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 28 September 2022 | |||||||||
Date of first compliant Open Access: | 27 October 2022 | |||||||||
RIOXX Funder/Project Grant: |
|
|||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year