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- W2149442997 abstract "12-15th June 2007 Abstract We report on research in which urban growth processes are simulated using software agents with vision of their environment as that is constrained by the location of buildings. The agents are free to build buildings (which then become shops), while other agents search for shops to satisfy a need for specific categories of goods. In effect these simulations create an artificial economy, and yet it is one in which the economic agents have forward facing vision, and in which their actions in locating buildings affect the visual field afforded to all other agents. The aim is to understand how an ‘embodied and embedded’ form of agency relates to an economy. In particular we are interested in the emergence of recognisable urban morphologies and distributions of different retail categories. Results are reported which show that linear streets emerge from this process, with under certain conditions these forming deformed grid like structures. However we find that minor variations in parameters have radical effects on the diversity of retail categories as well as on the emergent morphology. In particular we find that where agents do not have knowledge of store location more street like urban forms evolve, however where tax is high it forces layouts that minimise agent travel distances. We conclude with a discussion of the implications of these findings for our understanding of urban economic processes." @default.
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- W2149442997 date "2007-01-01" @default.
- W2149442997 modified "2023-09-24" @default.
- W2149442997 title "Evolving Street Plans, from Shops and Shoppers" @default.
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