Evolving Cities

Contents: Introduction, Lidia Diappi. The Spatial Investigation Capabilities of Neural Networks: Neural classifiers for land cover recognition: merging radiometric and ancillary information, Silvio Griguolo; Spatial interaction modelling: neural network methods and global optimization, Manfred Fischer and Katerina Hlavackova-Schindler; Complexity in sustainability: an investigation of the Italian urban system through self reflexive neural networks, Lidia Diappi, Massimo Buscema and Michela Ottan . Land Use Dynamics Through Artificial Intelligence Tools: Knowledge discovery and data mining to investigate urban and territorial evolution: tools and methodologies, Francesco Bonchi, Silvana Lombardo and Serena Pecori; Learning about land use change in Rome and Pisa urban areas, Francesco Bonchi, Silvana Lombardo, Serena Pecori and Alessandro Santucci; The identification and simulation of the urban spatio-temporal dynamic: the case study of Rome, Ferdinando Semboloni; Appendix: an overview of the SSI handbook, Robert Gianassi; Land use dynamics: a stochastic forecasting model based on SOM neural nets knowledge, Lidia Diappi and Paola Bolchi. Multi Agent Systems: Interactions Among Actors and Their Behaviours: Multi agent simulations for traffic in regional planning, Kai Nagel and Bryan Raney; Traffic-related air pollution in an urban environment: a KBDSS for improving the decisional context, Emilia Conte and Grazia Concilio; The chaotic nature of urban neighbourhood evolution, Chris Webster; Index.