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The 21 full papers and 21 short papers included in this book were carefully reviewed and selected from 93 submissions. The proceedings also include13 extended abstracts which can be found in the back matter of the book.
The ANTS 2026 proceedings focus on advances in the field of swarm intelligence presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. The theme of the 2026 proceedings is "reaching beyond - swarm intelligence across systems, disciplines, and communities"
The 21 full papers and 21 short papers included in this book were carefully reviewed and selected from 93 submissions. The proceedings also include13 extended abstracts which can be found in the back matter of the book.
The ANTS 2026 proceedings focus on advances in the field of swarm intelligence presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. The theme of the 2026 proceedings is "reaching beyond - swarm intelligence across systems, disciplines, and communities"
Algorithm in an Unknown Environment.- How Swarms Differ: Challenges in Collective Behaviour Comparison.- Knowledge Distillation-Driven Federated Learning as a Service for Resource-Constrained Edge Intelligence.- Modeling Information Propagation in Robot Swarms Through Epidemiological Models.- On the Cost of Evolving Task Specialization in Multi-Robot Systems.- Online Self-Calibration of Robotic Swarm Motility Phases via Social Learning with Fast Transmission.- Re-Solving the Shepherding Problem: Lead When Possible, Herd When Necessary.- Scalable Foraging: A Paired Body and Controller Design for Foraging Robots.- Split Over n Resource Sharing Problem: Are Fewer Capable Agents Better Than Many Simpler Ones.- Swarming from Vision Data Only: A Comparative Study of Imitation and Reinforcement Learning.- User-Centred Design of Multi-UAV Swarm Interfaces for Firefighting UAVs.- When Small Differences Matter: How Small Differences Create Leaders in Flocking Swarms.
| Erscheinungsjahr: | 2026 |
|---|---|
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | Lecture Notes in Computer Science |
| Inhalt: |
xx
505 S. 10 s/w Illustr. 202 farbige Illustr. 505 p. 212 illus. 202 illus. in color. |
| ISBN-13: | 9783032261229 |
| ISBN-10: | 3032261228 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Groß, Roderich
Becker, Aaron T. Di Caro, Gianni A. Haghighat, Bahar Hsieh, M. Ani Abu-Aisheh, Razanne Talamali, Mohamed S. Dorigo, Marco |
| Herausgeber: | Roderich Groß/Aaron T Becker/Gianni A Di Caro et al |
| Hersteller: |
Springer
Lecture Notes in Computer Science |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 29 mm |
| Von/Mit: | Roderich Groß (u. a.) |
| Erscheinungsdatum: | 22.07.2026 |
| Gewicht: | 0,791 kg |