Abstract: This chapter establishes two typologies, one based on power laws and
the other on complex adaptive systems theory, to provide a basis for
understanding systems where it not possible to reduce uncertainty, only to
absorb it. Those typologies are used to establish a framework within which
different approaches to foresight can be distinguished. These range from
systems models, through scenario planning to more recent techniques utilizing
attractor landscapes and distributed cognition.