We studied the evolution of cooperative behavior in bacteria (e.g. production of a public good) and of a QS system which coordinates this cooperative behavior, using cellular automaton (CA) modeling.
The system provides an architecture to coordinate the behavior of several specific agent types.
Malicious peers coordinate these behavior changes to keep each malicious peer's observed reliability relatively high while keeping overall network connectivity low.
Recently there has been experimental studies on interacting Escherichia coli populations, synthetic ecosystems — using genetic regulatory networks and intercellular communications systems to control and coordinate the behavior [17], [20], [21].
It is now recognized that QS is not only employed to coordinate the behavior of a bacterial population but often induces heterogeneous responses towards signaling molecules.
A rationale for this study is that the rhythmic activities of GABAergic cells coordinate the behaviors of principal neurons in neural network [14], [15], [16], [17], [24], [25].
The viable types of rhythmic activities in central GABAergic cells coordinate the behaviors of principal neurons [15], [16], [17], [24], [25].
A rationale for studying GABAergic neurons is that their rhythmic activities coordinate the behaviors of principal neurons in neural network [11], [12], [13], [14], [15], [16], [17].
Cell-to-cell communication coordinates the behavior of individual cells to establish organ patterning and development.
Institutions are the rules that coordinate social behavior.
