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Modelling Intervention Strategies For Cooperative Environmental Management, Jim Doran
Modelling Intervention Strategies For Cooperative Environmental Management, Jim Doran
International Congress on Environmental Modelling and Software
Central to sustainable natural resource management is the achievement of cooperation and collective action amongst stakeholders with initially conflicting short and long-term goals. It is argued that automatically generated agent-based computer models may be used to explore the ways in which external intervention can bring about effective stakeholder cooperation in environmental resource management contexts. The potential advantages of the agent-based modelling approach in this context include objectivity, and the discovery of currently unrecognised intervention strategies of practical value. An experimental procedure is proposed, and, by reference to a detailed design for a class of agent-based models, the technical obstacles that …
Catchment Modelling – A Resource Manager’S Perspective, J.E. Caminiti
Catchment Modelling – A Resource Manager’S Perspective, J.E. Caminiti
International Congress on Environmental Modelling and Software
Models are invaluable tools for resource management. Models help resource managers develop a shared conceptual understanding of complex natural systems, allow testing of management scenarios, predict outcomes of high risk and high cost environmental manipulations, and set priorities. Catchment modelling is a specialist field, and different modelling approaches are specialist areas in themselves. There are a plethora of models available that apply to integrated catchment management, from micro to landscape scales, from deterministic models to broad-brush models. Different philosophies abound; with some experts advocating top-down systems approaches and others who dismiss these as being too uncertain and based on opinion …
Putting The Decision In Decision Support, David Swayne
Putting The Decision In Decision Support, David Swayne
International Congress on Environmental Modelling and Software
We consider a novel approach to developing multi-objective environmental decision support applications. We propose using causal probabilistic networks (CPN) to subsume one or more engineering process models, together with CPN implementations of specific decisions and utility measures. So-called decision nodes are set to prior probability assignments of 1/N (where the particular decision has N possible values) and utility nodes are based upon the standard lottery principle give a value for that decision choice. The decisions can be so-called "one-shot" or sequential (time-dependent or at least seasonal). In the latter case maximization of the utility is calculated by gaming to optimize …
Improving The Model Development Cycle By Automatic Configuration Of Modelling Tools, K. De Jong, C. G. Wesseling, D. Karssenberg
Improving The Model Development Cycle By Automatic Configuration Of Modelling Tools, K. De Jong, C. G. Wesseling, D. Karssenberg
International Congress on Environmental Modelling and Software
Model development is a difficult and timely process involving various steps to create, check and improve the model. Typically all kinds of software tools are used to facilitate this process. Central to model development is the model definition and we show that, apart from calculating model results, it can be used to tailor some of the tools used to the model at hand. This speeds up model development and might lead to better models.
Ontowedss: An Ontology-Underpinned Decision-Support System For Wastewater Management, Luigi Ceccaroni, Ulises Cortés, Miquel Sànchez-Marrè
Ontowedss: An Ontology-Underpinned Decision-Support System For Wastewater Management, Luigi Ceccaroni, Ulises Cortés, Miquel Sànchez-Marrè
International Congress on Environmental Modelling and Software
This paper characterizes part of an interdisciplinary research on arti cial intelligence techniques applied to environmental decision-support systems. The architecture's design of OntoWEDSS, a decision support system for wastewater management, is presented. This system augments classic rule-based reasoning and casebased reasoning with a domain ontology. The integration of the newly createdWaWO ontology provides a more exible management capability to OntoWEDSS. The construction of the decision support system is based on a speci c case study but the system is also of general interest, given that its ontology-underpinned architecture can be applied to any wastewater treatment plant and, at an appropriate …