Treffer: Space depth analysis vía agent oriented programming: a review and update of space syntax methodology

Title:
Space depth analysis vía agent oriented programming: a review and update of space syntax methodology
Contributors:
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Rovira i Virgili. Escola Tècnica Superior d'Enginyeria, Universitat de Barcelona. Facultat de Matemàtiques i Informàtica, Cortés García, Claudio Ulises, Jonge, Dave de
Publisher Information:
Universitat Politècnica de Catalunya
Publication Year:
2024
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Document Type:
Dissertation master thesis
File Description:
application/pdf
Language:
English
Rights:
Open Access
Accession Number:
edsbas.EBA6BB0A
Database:
BASE

Weitere Informationen

This study aims to advance the application of Space Syntax by integrating it with Agent-Based System (ABS) features within the NetLogo environment, building upon the foundational work done using UCL DepthMap X. Initially, the research replicates Alasdair Turner's early 2000s experiments at the Tate Britain to validate the results within this new framework, establishing a baseline using the original DepthMap outputs from Turner ad Penn. The methodology progresses by constructing a parallel simulation framework in NetLogo, initially confirming functional equivalence through integration diagrams before introducing key ABS elements-namely agent communication and dynamic attractors in the form of spatial pins in a museum setting. These features are hypothesized to enrich the simulation of spatial dynamics by facilitating more nuanced interactions and emergent behaviors, potentially providing deeper insights into human spatial behavior. A comparative analysis will then be conducted, focusing on the variance in agent behaviors with and without the new ABS features. This will involve mimicking Turner's original analytic approaches to generate path diagrams and aiming to achieve correlations like the R2 correlation of 0.76 reported in Turner and Penn's 2001 study, which validated their DepthMap implementation against actual visitor movements. Findings will show the proposed NETLogo framework is validated by the same correlation, 0.89, Turner obtained in 2007 along his research on Through Vision mathematical definition. First implemented proper Agent-based-system features, message passing and goals/attractors, will show a clear influence on agents behavior as a priori guessed by Turner in 2011 along his evolved automaton proposal. The study, while not addressing Turner's subsequent proposals on fitness functions and goal validations due to their unfinished guidelines, sets the stage for further research. It proposes exploring these aspects as logical next steps in enhancing the NetLogo-based space syntax framework. This ...