The book is about the key elements required for designing, building and
controlling effective artificial swarms comprised of multiple moving
physical agents. Therefore this book presents the fundamentals of each
of those key elements in the particular frame of dynamic swarming,
specifically exposing the profound connections between these elements
and establish some general design principles for swarming behaviors.
This scientific endeavor requires an inter-disciplinary approach:
biomimetic inspiration from ethology and ecology, study of social
information flow, analysis of temporal and adaptive signaling network of
interaction, considerations of control of networked real-time systems,
and lastly, elements of complex adaptive dynamical systems. This book
offers a completely new perspective on the scientific understanding of
dynamic collective behaviors thanks to its multi-disciplinary approach
and its focus on artificial swarm of physical agents. Two of the key
problems in understanding the emergence of swarm intelligent behaviors
are identifying the social interaction rules a.k.a. the behavioral
algorithm and uncovering how information flows between swarming agents.
While most books about swarm dynamics have been focusing on the former,
this book emphasizes the much-less discussed topic of distributed
information flow, always with the aim of establishing general design
principles.