Spatial environments have been studied by many scholars in different disciplines, and the present study aims at contributing to the broader discussion from an urban-planning view. Indoor and outdoor townscapes, because of their dynamic complexity, seem to offer ill-structured holds to the typical spatial behaviour of an agent, particularly when spatial behaviours is analyzed in mainstream AI robotics. Therefore, a question arises about the ‘fundamentals’ of spacescapes from the point of view of the needs of living agents, having to live in and move through them in resilient and intelligent ways. In this context, the subject of the present paper is the diagnosis and the control of a structured simple space, geometrically intended as the minimum arc of a graph. Conditions, situations, elements, behaviours are explored and partially analyzed in their spatial-temporal dimensions, subsequently aiming at setting up a system architecture to let spatial agents control their de-structuring impact. The research makes use of text analysis and interpretation, both applied to an in-class questionnaire survey, exploring low level (movement orientation) and high level (memories and fantasies) behaviours in human interaction with a space. The experiment is developed by relying on a large class of students from the Technical University of Bari, daily using a long and apparently amorphous corridor to reach lecturers’ offices for advices, exams and explanations.
|Titolo:||Understanding townscapes through AI approaches to the study of human living in space|
|Data di pubblicazione:||2009|
|Nome del convegno:||The 3rd International International Conference on Knowledge Generation, Communication and Management, KGCM 2009|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|