Advancing Urban Science with Multi-Agent Systems: Prospects for Innovation and Sustainability in Spatial Planning and Urban Governance.
Dario EspositoMiriam RuggieroPublished in: ICCSA (Workshops 6) (2023)
Keyphrases
- data mining
- urban planning
- multi agent systems
- spatial analysis
- urban areas
- information systems
- computer science
- case study
- multi agent
- spatial data
- artificial intelligence
- geographic information systems
- knowledge economy
- public transport
- spatial information
- information technology
- cooperative
- strategic planning
- public transportation
- organizational structure
- urban growth
- planning domains
- trust model
- spatial relationships
- game theory
- spatial and temporal
- heuristic search
- long term
- decision making