It is highly believed that the individuals’ mobility plays an important role in phase transition in animal collective motion. Here, we propose a model to study the effects of individuals’ mobility in a distributed animal collective decision-making process, during which each individual faces two options with equal quality. We implement the quorum response rule, a type of social interaction rule ...

Understanding of the mechanisms driving our daily face-to-face encounters is still limited; the field lacks large-scale datasets describing both individual behaviors and their collective interactions. However, here, with the help of travel smart card data, we uncover such encounter mechanisms and structures by constructing a time-resolved in-vehicle social encounter network on public buses in a...

Organisms that live in groups, from microbial symbionts to social insects and schooling fish, exhibit a number of highly efficient cooperative behaviors, often based on role taking and specialization. These behaviors are relevant not only for the biologist but also for the engineer interested in decentralized collective robotics. We address these phenomena by carrying out experiments with group...

Honey-bees have long served as a model organism for investigating insect navigation and collective behavior: they exhibit division of labor and are an example of insect societies where direct communication between workers enable cooperation in the task of collecting nectar and pollen for the colony. However, honey-bees seem to learn about their environment progressively before becoming foragers...

This paper works on the collective behavior of multi-agent systems under digital networks. It is assumed that the agents are distributed on a plane and communicate through a digital network. The location coordinates of each agent are measured by some remote sensor and transmitted digitally to its neighbors. The topology of communication network is described by an undirected graph and control pr...

This report presents a pilot study of an integration of particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the collective search behavior of self-organized groups in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social group adaptation for the dynamic environment and to provide insight and...

This paper examines agency as a mechanism that can predict cultural differences in human motivation. In elaborating on the theory of self-construal (Markus & Kitayama, 1991) and drawing on past research on culture, we propose that people from cultures stressing independence are more personally agentic, whereas people from cultures stressing interdependence are more collectively agentic—which re...

Recent advances in technology have made practical the use of sensor networks for a wide range of problems, ranging from security applications to assistive environments and urban sensing. However, sensor systems today have limited capabilities in understanding human behaviors, thus requiring the presence of human operators, canceling, therefore, their main advantages which are large numbers and ...