  In several domains such as linguistics, molecular biology or social sciences,
holistic effects are hardly well-defined by modeling with single units, but
more and more studies tend to understand macro structures with the help of
meaningful and useful associations in fields such as social networks, systems
biology or semantic web. A stochastic multi-agent system offers both accurate
theoretical framework and operational computing implementations to model
large-scale associations, their dynamics and patterns extraction. We show that
clustering around a target object in a set of associations of object prove some
similarity in specific data and two case studies about gene-gene and term-term
relationships leading to an idea of a common organizing principle of cognition
with random and deterministic effects.
