By Juval Portugali
This booklet explores the chances of employing the theories of complexity and self-organization built to account for varied phenomena within the average technological know-how to artifacts characteristically the world of humanities and social sciences. The emphasis of this quantity is at the improvement of towns and the impression of those tools on city simulation equipment.
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Extra resources for Complex Artificial Environments: Simulation, Cognition and VR in the Study and Planning of Cities
More details will be discussed in section 5. e. they carry little information per pixel. We have so-to-speak a degeneracy of pixels. g. to focus on edges, corners or at larger scales on landmarks. Here I may refer to the work by Lynch (Lynch, 1960) and by Haken and Portugali (Haken & Portugali, 2003). But what will be further needed is more semantics. Details will be provided in sections 6, 7 and 9. 36 Hermann Haken Natural highly structured much information per pixel template matching? number of prototypes ĺ “smearing out” types of trees more details in sect.
G. traffic ants pedestrians birds cars fish lorries telephone calls, … Table 2: Comparison between the natural and the artificial 4. Pattern recognition Let me discuss some consequences for pattern recognition starting with the natural (Table 3). Because of the highly structured patterns there is much information per pixel conveyed. g. each tree looks quite different. So basically the number of prototypes is tending to infinity so that this approach becomes more or less unfeasible. g. to return to types of trees but again this is a very difficult job.
The notion SIRN is a composition of two terms: synergetics, which, as introduced above is the name assigned by Haken (1983) to his theory of complex, selforganizing systems, and IRN (inter-representation networks), which is an approach to cognitive geography (Portugali, 1996) suggesting that the production of artifacts plays a central role in the very process of cognition. The commonly held view in cognitive science is that artifacts are products of specific cognitive processes. To this view, IRN adds that in many cases the cognitive process doesn’t end at this stage; rather it continues and has feedback effects, the essence of which is that artifacts function as an extension of the mind, and thus can be regarded as an integrative element in the very cognitive system.