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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Valentini, Gabriele (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
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.