Achieving Consensus in Robot Swarms Design and Analysis of Strategies for the best-of-n Problem /
This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem. After providing a formalization of the structure of the best-of-n problem supported by a comprehensive survey of the swarm robotics literature, it introduces the functioning of a collecti...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Σειρά: | Studies in Computational Intelligence,
706 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Part 1:Background and Methodology
- Discrete Consensus Achievement in Artificial Systems
- Modular Design of Strategies for the Best-of-n Problem
- Part 2:Mathematical Modeling and Analysis
- Indirect Modulation of Majority-Based Decisions
- Direct Modulation of Voter-Based Decisions
- Direct Modulation of Majority-Based Decisions
- Part 3:Robot Experiments
- A Robot Experiment in Site Selection
- A Robot Experiment in Collective Perception
- Part 4:Discussion and Annexes
- Conclusions
- Background on Markov Chains.