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Space syntax with Prolog

Authors: Fernandes, Pedro Afonso;
Abstract

This paper introduces a new way to perform space syntax analyses using Prolog, a Logic Programming language concerned with Artificial Intelligence. Developed in the 1970’s to process natural languages, Prolog can deal easily with simple declarations of facts like the connection (or permeability) between convex spaces or axial lines. Readily available on-line through the SWISH platform, in a fancy format inspired by Jupyter Notebooks, Prolog may help to understand the recursive nature of urban processes, given some elementary generators, or to describe or even check the structure (e.g. concentric) of some village. Mostly important, Prolog can compute space syntax measures such connectivity, control or integration in a comprehensive, transparent and attractive way, namely, for students and researchers on space syntax. The experience suggests that Prolog may be appropriate for gamma-analysis of small buildings like the Ashanti’s shrine, acting as flexible and easily replicable calculator of syntactic measures. This flexibility is reinforced by the free and open-source nature of the code stored in the SWISH platform, as well as by the declarative nature of Logic Programming, which facilitates the description of the patterns of discrete systems as social knowables. In fact, a Prolog program represents a certain amount of knowledge, which is used to answer queries about the social and economic consequences of some spatial design.

Country
Portugal
Keywords

Gamma-analysis, Prolog, Space syntax, Logic programming, Concentric structures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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