Towards integrated intentional agent simulation and semantic geodata management in complex urban systems modeling

Prevention and Reduction of Geological and Environmental Problems in the Iranian Cities by Development of Geoscientific Knowledge-Base and Cyber-Infrastructure in the Urban Scale

“…The fast urbanization in many developing countries in the world without required precautions, will intake considerable socioeconomic costs in the long-term [1]. Experiences from around the world recommend the development of geoscientific knowledge-base and cyber-infrastructure in the urban scale as tool to being prepared against challenges in the megacities as well as fast developing urban areas [38][39][40][41][42][43][44][45]. According to the previous practical developments of large scale geoscientific database in Iran, development of largescale databases, knowledge-bases and cyber-infrastructures for megacities is an important tool as well as step for better managements of megacities that provides opportunities for interaction among various information, prediction of risks and estimation of damages due to scenario natural hazards, implementation of early warning systems in public areas and fast alarm system for urban managers, proving a basement for sub-surface 3D modeling of underground urban area and et cet.…”

Introduction to the Minitrack on Security and Privacy Challenges for Healthcare

“…By comparing traditional versus open ecosystems, the authors perceive that "the relationships between the software vendor and its buyers and suppliers evolve from a simple linear configuration to a more complex network of relationships". Addressing one of the world's major sustainability issues, Baier et al (2015) report on a project on the planning and analysis of water management in complex urban megacities. Here, the agents to be simulated are not just IT and human organizations but also semantically enhanced geodata with associated strategic "intentions" such as maintaining air and water quality, protecting affordable housing, and decent traffic connections.…”

Cooperating and Competing Digital Twins for Industrie 4.0 in Urban Planning Contexts

“…To empower a broader range of stakeholders to contribute to the design of multi-agent ecosystems, the social requirements modeling language i* [25] mimics the way domain experts and other humans naturally talk about such ecosystems-in terms of intentions, dependencies, and actions or tasks. Due to its concise graphical notation, which closely resembles the common-sense way of talking about social actors, i* has been shown in hundreds of cases to greatly reduce the effort required for discussing model details between developers and domain experts [57].…”

“…We illustrate its graphical notation in Figure 4 with a small real-world i* documentation of a strategy debate on urban water management in a low-income megacity quarter (cf. [57]):…”

“…Such a semantic abstraction could, for example, be a geodata model in which a specific city quarter could be chosen as the application site for the i* model (for details, cf. [57]).…”