Schatten, M., Ševa, J. and Tomičić, I. (2016) A roadmap for scalable agent organizations in the Internet of Everything. Journal of Systems and Software, 115. pp. 31-41. ISSN 0164-1212
Abstract
Computing is increasingly ubiquitous, with everyday items including smartphones, cars, clothes and household appliances gaining increasingly sophisticated computing and communication capacities. With the development of the Internet of Things, it is just a matter of time before devices have to collaborate and compete with each other, in order to provide better services to mankind.
These embedded software systems are increasingly autonomous and connected, and can thus be modeled as multiagent systems (MAS). Only 30 years ago it was science fiction that over a billion people will exchange billions of e-mails on a daily basis. Today a scenario of millions of collaborating agents sometimes embedded in gadgets and appliances, sometimes in form of networked and big data services, may also sound futuristic. However given the current rate of development in electronics, we will soon have to manage large scale MAS where millions of agents exist, collaborate and compete. Organization theory provides the necessary methodology to approach complex systems in order to design, implement and strategically manage them towards success.
In this paper a state-of-the-art on organizational design techniques for large-scale MAS will be presented, missing advancements will be identified and a roadmap for future developments and application scenarios will be provided.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier Inc. All rights reserved. |
Keywords: | Organizational design; Large-scale multiagent system; Internet of Things |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 01 Apr 2016 14:36 |
Last Modified: | 01 Apr 2016 15:28 |
Published Version: | http://dx.doi.org/10.1016/j.jss.2016.01.022 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jss.2016.01.022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97445 |