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Learning from Paradoxes about Prediction and Planning in Self-Organizing Cities

  • Juval PortugaliEmail author
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

Since early days paradoxes have been useful (and enjoyable) analytical tools; mainly due to their capability to expose things that are wrong when everything appears to be right. Zeno paradoxes are a good example to their use in antiquity, while in modern science theoretical physics stands as a domain where paradoxes are intensively used. This is not the case with cities and their planning, however. This chapter introduces paradoxes as useful means to study predictions in the context of cities and their planning. It discusses several city planning paradoxes and suggests seeing their origin in the complexity of cities and in the role played by cognitive maps and information exchange in complex, self-organizing cities.

Keywords

City Center Planning Theory Feedforward Loop Shannonian Information Dual Complex 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Dept. of Geography and the Human EnvironmentTel Aviv UniversityTel AvivIsrael

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