Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1007/s44230-024-00063-5
The main motivation for this work is the design of context-sensitive systems, involving a human-agent team. More precisely, the participants in the current context, are human beings and software agents, who have to coordinate themselves for the collaborative achievement of a complex task. We propose a model of interaction between these heterogeneous entities (humans, software agents) based on decision matrices inspired from game theory. The case study concerns the traffic management through intersections, involving several groups composed of human operators and software agents (playing the role of assistants), in a participatory simulation. An evaluation of the results obtained is presented in order to show the feasibility of the proposed approach. We show that despite its simplicity, the interaction model is relatively efficient, because it takes into account context characteristics and the potential availability of software agents.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s44230-024-00063-5
- https://link.springer.com/content/pdf/10.1007/s44230-024-00063-5.pdf
- OA Status
- diamond
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392298499
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392298499Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s44230-024-00063-5Digital Object Identifier
- Title
-
Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory SimulationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-29Full publication date if available
- Authors
-
Martial Razakatiana, Christophe Kolski, René Mandiau, Thomas MahatodyList of authors in order
- Landing page
-
https://doi.org/10.1007/s44230-024-00063-5Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s44230-024-00063-5.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s44230-024-00063-5.pdfDirect OA link when available
- Concepts
-
Computer science, Context (archaeology), Software, Knowledge management, Task (project management), Software agent, Human–computer interaction, Process management, Management science, Software engineering, Artificial intelligence, Systems engineering, Engineering, Biology, Paleontology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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