Abstract
Complexity theory grew out of the observation that there are many phenomena that modern scientific analysis could not adequately describe or predict. This chapter describes some basic principles of complexity theory. It briefly looks at the features of the individual elements in complex systems before describing how they interact to give the characteristics of complex adaptive systems and in particular the features of emergence and self-organization. The chapter discusses insights from some important metaphors, focusing on the metaphors derived from chaos theory and the concept of 'the edge of chaos'. Engaging with complexity challenges a number of current assumptions and offers an alternative perspective from which to analyse social systems. It cautions that complex systems cannot be described and predicted using simple linear models; that activity and performance cannot be precisely controlled by rational technical fixes that have predictable outcomes.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
