Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Objects, components, and frameworks with UML: the catalysis approach
Objects, components, and frameworks with UML: the catalysis approach
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Unified Modeling Language Reference Manual, The (2nd Edition)
Unified Modeling Language Reference Manual, The (2nd Edition)
Simulation for the Social Scientist
Simulation for the Social Scientist
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The implications of complexity for integrated resources management
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Property-driven development of a coordination model for distributed simulations
FMOODS'05 Proceedings of the 7th IFIP WG 6.1 international conference on Formal Methods for Open Object-Based Distributed Systems
Environmental Modelling & Software
Assessment of data availability influence on integrated urban drainage modelling uncertainty
Environmental Modelling & Software
A multi-agent system for meteorological radar data management and decision support
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Short Communication: Model integration and the role of data
Environmental Modelling & Software
A companion modelling approach applied to forest management planning
Environmental Modelling & Software
Flood forecasting in transboundary catchments using the Open Modeling Interface
Environmental Modelling & Software
Environmental Modelling & Software
International Journal of Agent Technologies and Systems
Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model framework
Environmental Modelling & Software
Environmental Modelling & Software
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Within coupled hydrological simulation systems, taking socio-economic processes into account is still a challenging task. In particular, systems that aim at evaluating impacts of climatic change on large spatial and temporal scales cannot be based on the assumption that infrastructure, economy, demography and other human factors remain constant while physical boundary conditions change. Therefore, any meaningful simulation of possible future scenarios needs to enable socio-economic systems to react and to adapt to climatic changes. To achieve this it is necessary to simulate decision-making processes of the relevant actors in a way which is adequate for the scale, the catchment specific management problems to be investigated and finally the data availability. This contribution presents the DeepActor approach for representing such human decision processes, which makes use of a multi-actor simulation framework and has similarities to agent-based approaches. This DeepActor approach is embedded in Danubia, a coupled simulation system comprising 16 individual models to simulate Global Change impacts on the entire water cycle of the Upper Danube Catchment (Germany, 77,000km^2). The applicability of Danubia and in particular the DeepActor approach for treating the socio-economic part of the water cycle in a process-based way is demonstrated by means of concrete simulation models of the water supply sector and of the domestic water users. Results from scenario simulations are used to demonstrate the capabilities and limitations of the approach.