Over the last few years, Collective Intelligence (CI) platforms have become a vital resource
for learning, problem solving, decision-making, and predictions. This rising interest in the …

Organizations' pursuit of increased workplace collaboration has led managers to transform
traditional office spaces into 'open', transparency-enhancing architectures with fewer walls …

This literature review focuses on collective intelligence in humans. A keyword search was
performed on the Web of Knowledge and selected papers were reviewed in order to reveal …

The building environment and evacuation behavior are decisive factors for building
evacuation performance. Shifting toward the use of agent-based models, many current …

The problem of matching range images of human faces for the purpose of establishing a
correspondence between similar features of two faces is addressed. Distinct facial features …

Nature-inspired computing has yielded remarkable applications of collective intelligence
which considers simple elements for solving complex tasks by common interaction. On the …

Collective intelligence (CI) is a form of distributed intelligence that emerges in collaborative
problem solving and decision making. This work investigates the potentials of CI in demand …

Real-time traffic information collection and data fusion is one of the most important tasks in
the advanced traffic management system (ATMS), and sharing traffic information to users is …

A novel energy management (EM) approach is introduced, integrating core elements of
collective intelligence (CI) and reinforcement learning (RL) and called CIRLEM. It operates …

Abstract The Collective Intelligence Design Ecosystem (CIDE) is a dynamic system with
multiple interests intertwined, and the utilization of matching tools provides a way for all …