Multi-Agent-Based Simulation XXV 25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024, Revised Selected Papers /
This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in top...
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| Tác giả khác: | , |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Phiên bản: | 1st ed. 2025. |
| Loạt: | Lecture Notes in Artificial Intelligence,
15583 |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-3-031-88017-9 |
| Các nhãn: |
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| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
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| 490 | 1 | |a Lecture Notes in Artificial Intelligence, |x 2945-9141 ; |v 15583 | |
| 505 | 0 | |a -- MABS Methodology and Tools. -- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation. -- GENSIMO — A Generic Framework for Modelling Social Insurance Systems. -- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?. -- MABS Education. -- Teaching Agent-based Modeling for Simulating Social Systems – A Research-based Learning Approach. -- MABS Applications. -- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support. -- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives. -- Inferring pedestrian decision-making through inverse reinforcement learning. | |
| 520 | |a This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Artificial intelligence. | |
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| 650 | 0 | |a Computer networks . | |
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