Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation
Abstract 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. W...
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| Format: | Article |
| Language: | English |
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Springer Nature
2024-02-01
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| Series: | Human-Centric Intelligent Systems |
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| Online Access: | https://doi.org/10.1007/s44230-024-00063-5 |
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| _version_ | 1841559374962622464 |
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| author | Martial Razakatiana Christophe Kolski René Mandiau Thomas Mahatody |
| author_facet | Martial Razakatiana Christophe Kolski René Mandiau Thomas Mahatody |
| author_sort | Martial Razakatiana |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-8b830b39bbea4210962cb232d279aad9 |
| institution | Kabale University |
| issn | 2667-1336 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Human-Centric Intelligent Systems |
| spelling | doaj-art-8b830b39bbea4210962cb232d279aad92025-01-05T12:32:40ZengSpringer NatureHuman-Centric Intelligent Systems2667-13362024-02-014224125510.1007/s44230-024-00063-5Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory SimulationMartial Razakatiana0Christophe Kolski1René Mandiau2Thomas Mahatody3LIMAD-EDMI, University of FianarantsoaCNRS, UMR 8201, LAMIH, Univ. Polytechnique Hauts-de-FranceCNRS, UMR 8201, LAMIH, Univ. Polytechnique Hauts-de-FranceLIMAD-EDMI, University of FianarantsoaAbstract 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.https://doi.org/10.1007/s44230-024-00063-5Human-agent teamDecision matrixRoad traffic simulationParticipatory simulation |
| spellingShingle | Martial Razakatiana Christophe Kolski René Mandiau Thomas Mahatody Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation Human-Centric Intelligent Systems Human-agent team Decision matrix Road traffic simulation Participatory simulation |
| title | Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation |
| title_full | Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation |
| title_fullStr | Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation |
| title_full_unstemmed | Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation |
| title_short | Human-Agent Team Based on Decision Matrices: Application to Road Traffic Management in Participatory Simulation |
| title_sort | human agent team based on decision matrices application to road traffic management in participatory simulation |
| topic | Human-agent team Decision matrix Road traffic simulation Participatory simulation |
| url | https://doi.org/10.1007/s44230-024-00063-5 |
| work_keys_str_mv | AT martialrazakatiana humanagentteambasedondecisionmatricesapplicationtoroadtrafficmanagementinparticipatorysimulation AT christophekolski humanagentteambasedondecisionmatricesapplicationtoroadtrafficmanagementinparticipatorysimulation AT renemandiau humanagentteambasedondecisionmatricesapplicationtoroadtrafficmanagementinparticipatorysimulation AT thomasmahatody humanagentteambasedondecisionmatricesapplicationtoroadtrafficmanagementinparticipatorysimulation |