Guy Theraulaz

TL;DR: This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.

TL;DR: This work proposes an integrated treatment of simultaneous interactions between multiple individuals, which overcomes limitations of current physics-inspired pair interaction models and clears the way for a more realistic modeling of collective social behaviors, in particular of human crowds and biological swarms.

TL;DR: Analyzing the motion of approximately 1500 pedestrian groups under natural condition shows that social interactions among group members generate typical group walking patterns that influence crowd dynamics, demonstrating that crowd dynamics is not only determined by physical constraints induced by other pedestrians and the environment, but also significantly by communicative, social interaction among individuals.

TL;DR: Research in social insect behaviour has provided computer scientists with powerful methods for designing distributed control and optimization algorithms that tend to exhibit a high degree of flexibility and robustness in a dynamic environment.

TL;DR: This paper overviews some models derived from the observation of real ants, emphasizing the role played by stigmergy as distributed communication paradigm, and shows how these models have inspired a number of novel algorithms for the solution of distributed optimization and distributed control problems.