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Swarm Intelligence - From Natural to Artificial Systems
This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.
Self-Organization in Biological Systems
This book is a self-contained introduction to self-organization and complexity in biology - a field of study at the forefront of life sciences research.
The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics
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.
Ant algorithms and stigmergy
How simple rules determine pedestrian behavior and crowd disasters
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.
From Natural to Artificial Swarm Intelligence
From the Publisher: This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an
A Brief History of Stigmergy
The history of Stigmergy is described in the context of social insects and the general properties of two distinct stigmergic mechanisms are discussed: quantitative stIGmergy and qualitative stigMERgy.
Quantitative study of the fixed threshold model for the regulation of division of labour in insect societies
A simple model of regulation of division of labour in insect societies is introduced and studied. Individuals are assumed to respond to task-related stimuli with response thresholds. When the
Experimental study of the behavioural mechanisms underlying self-organization in human crowds
The experimental results reveal features of the decision process when pedestrians choose the side on which they evade, and show a side preference that is amplified by mutual interactions.
Inspiration for optimization from social insect behaviour
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.