Modelling Space Perception in Urban Planning: A Cognitive AI-Based Approach
The study deals with cooperative space conceptualization by humans according to the AI-based cognitive approach and the urban-planning approach of architects and planners. It carries out the diagnosis and the control of example spaces in known urban environments. The paper is oriented toward suggesting system architectures to let spatial agents add structuring degrees to navigated urban spaces and challenge relevant disorientation conditions.
The methodology draws on ontology-based text-mining analysis and statistical interpretation applied to university-class questionnaire surveys, exploring behaviours in human interaction with a space. After an introduction, a case-based discussion of the cooperative conceptualization and representation of space is carried out. The third section shows the ontological results of the case-study, with general results and follow-up discussed in the concluding section.
KeywordsDecision support Spatial cognition Environmental planning Space ontology Multi agent systems
Unable to display preview. Download preview PDF.
- 1.Garling, T., Evans, G.W.: Environment, Cognition, and Action: An Integrated Approach. Oxford University Press, New York (1991)Google Scholar
- 2.Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison-Wesley, London (1999)Google Scholar
- 4.Goodman, N.: The Structure of Appearance. Harvard UP, Cambridge (1951)Google Scholar
- 10.Wooldridge, M.: An Introduction to Multi-Agent Systems. Wiley, London (2002)Google Scholar
- 12.Khakee, A., Barbanente, A., Camarda, D., Puglisi, M.: With or without? Comparative study of preparing participatory scenarios using computer-aided and traditional brainstorming. Journal of Future Research 6, 45–64 (2002)Google Scholar
- 13.Simon, H.A.: The Sciences of the Artificial. MIT Press, Cambridge (1969)Google Scholar
- 14.Shirali, S., Vasudeva, H.: Metric Spaces. Springer, London (2005)Google Scholar
- 15.Borri, D., Camarda, D.: Spatial ontologies in multi-agent environmental planning. In: Yearwood, J., Stranieri, A. (eds.) Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches, pp. 272–295. IGI Global Information Science, Hershey Pa (2010)CrossRefGoogle Scholar
- 20.Friedmann, J.: Planning in the Public Domain: From Knowledge to Action. Princeton University Press, Princeton (1987)Google Scholar
- 21.Schön, D.A.: The Reflexive Practitioner. Basic Books, New York (1983)Google Scholar