Swarm Intelligence

3The Particle Swarm and Collective Intelligence

Abstract

Social philosophy has typically concentrated on processes that are thought to be individually internal or personal, while the social world is often seen as an “environmental” element. A recent cross-cultural psychology study demonstrates basic variations in how cognition works in persons from other cultures. This shows that the social surroundings influence and contribute to generating thought. The researchers who explore ways of obtaining intelligent behavior from robots are continually turning to new models to analyze individuals intimately intertwined with the social environment. These new models diverge dramatically from classic AIs, which approach cognition as a collection of processes in an isolated brain. This chapter will address this dichotomy regarding the particle swarm optimization algorithm, the model of cooperatively connected intelligence. Improvements of the particle swarm paradigms in terms of lifestyle and cognitive interactions will be defined.

Keywords: Collective intelligence, socio-cognitive, binary decision, parameter selection, IQ scale, cognitive, behavior model

3.1 The Particle Swarm and Collective Intelligence

This chapter presents the binary and exact numerical optimization algorithm. The book has thus far prepared the background, explaining relevant informatics and social scientific paradigms, talking about culture, norms and languages, and other advancements in science and philosophy, which, ...