The information provided is the sole responsibility of the authors and does not necessarily reflect the opinion of the members of IRIDIA. The authors take full responsibility for any copyright breaches that may result from publication of this paper in the IRIDIA – Technical Report Series. IRIDIA is not responsible for any use that might be made of data appearing in this publication.

ABSTRACT In my Ph.D. thesis, I focus on the design and mathematical modeling of collective decision-making mechanisms for swarm of autonomous robots. In particular, most of the attention of my studies concerns collective decision-making problems that are characterized by a discrete and finite

The information provided is the sole responsibility of the authors and does not necessarily reflect the opinion of the members of IRIDIA. The authors take full responsibility for any copyright breaches that may result from publication of this paper in the IRIDIA – Technical Report Series. IRIDIA is not responsible for any use that might be made of data appearing in this publication. Majority-Rule Opinion Dynamics with

Self-organization, collective decision making and resource exploitation strategies in social insects

Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making

Abstract. Symmetry breaking is commonly found in self-organized collective decision making. It serves an important functional role, specifically in biological and bio-inspired systems. The analysis of symmetry breaking is thus an important key to understanding self-organized decision making

We study a self-organized collective decision-making strategy to solve the best-of-n decision problem in a swarm of robots. We define a dis-tributed and iterative decision-making strategy. Using this strategy, robots explore the available options, determine the options ’ qualities, decide au

The dynamic and lossy nature of wireless communication poses major challenges to reliable, self-organizing multihop networks. These non-ideal characteristics are more problematic with the primitive, low-power radio transceivers found in sensor networks, and raise new issues that routing protocols

-frame stereo methods. Our taxonomy is designed to assess the different components and design decisions made in individual stereo algorithms. Using this taxonomy, we compare existing stereo methods and present experiments evaluating the performance of many different variants. In order to establish a common

for this state of affairs is that existing theories of work The authors express great appreciation to members of the consulting firm that helped us gain access to the organizations where this research was conducted; to Kenneth Brousseau, Daniel Feldman, and Linda Frank for assistance in data collection