D4RPoMM:About: Difference between revisions
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Created page with "The the Policy-Making Module (PoMM) is the DSS component of D4Runoff AI-assisted platform for improving the policymaking related to hybrid NBS by explicitly including the science-policy relationships in decision-making. The PoMM does NOT pursue any Decision-making capability / automation / prescription: it is upon the human actor to assess which potential action to simulate, assess and eventually put in practice. Predictive capabilities: the technology used is intrins..." |
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The PoMM does NOT pursue any | The PoMM does NOT pursue any | ||
Decision-making capability / automation / prescription: it is upon the human actor to assess which potential action to simulate, assess and eventually put in practice. | *Decision-making capability / automation / prescription: it is upon the human actor to assess which potential action to simulate, assess and eventually put in practice. | ||
Predictive capabilities: the technology used is intrinsically exploratory and to a certain extent explanatory, not predictive. | Predictive capabilities: the technology used is intrinsically exploratory and to a certain extent explanatory, not predictive. | ||
Control capabilities: there’s no closed loop. Though if the box may be fed by real-world data (mediated by other systems like the IIOT and federated-AI systems), no feed-back will be given to such components (output will be given to human actors). | *Control capabilities: there’s no closed loop. Though if the box may be fed by real-world data (mediated by other systems like the IIOT and federated-AI systems), no feed-back will be given to such components (output will be given to human actors). | ||
*Concurrent simulation. Simulation occurs only with one experiment (configuration) and only one user at a time. If multiple user will be allowed, each one will take the user role in turn (resulting in step by step change of settings and rerun from a breakpoint). | |||
Modeling of transformation of operations, logistics and other industrial or urban processes. The PoMM assumes that each process considered is a black-box whose function is known (it can even be stochastic, but ranges and patterns must be given). | *Modeling of transformation of operations, logistics and other industrial or urban processes. The PoMM assumes that each process considered is a black-box whose function is known (it can even be stochastic, but ranges and patterns must be given). | ||
Generalization capability. While several configuration capabilities are granted, these are confined to the science-policy relationships and to the hNBS for CECs configuration adopted. | *Generalization capability. While several configuration capabilities are granted, these are confined to the science-policy relationships and to the hNBS for CECs configuration adopted. | ||
Revision as of 12:56, 12 June 2025
The the Policy-Making Module (PoMM) is the DSS component of D4Runoff AI-assisted platform for improving the policymaking related to hybrid NBS by explicitly including the science-policy relationships in decision-making.
The PoMM does NOT pursue any
- Decision-making capability / automation / prescription: it is upon the human actor to assess which potential action to simulate, assess and eventually put in practice.
Predictive capabilities: the technology used is intrinsically exploratory and to a certain extent explanatory, not predictive.
- Control capabilities: there’s no closed loop. Though if the box may be fed by real-world data (mediated by other systems like the IIOT and federated-AI systems), no feed-back will be given to such components (output will be given to human actors).
- Concurrent simulation. Simulation occurs only with one experiment (configuration) and only one user at a time. If multiple user will be allowed, each one will take the user role in turn (resulting in step by step change of settings and rerun from a breakpoint).
- Modeling of transformation of operations, logistics and other industrial or urban processes. The PoMM assumes that each process considered is a black-box whose function is known (it can even be stochastic, but ranges and patterns must be given).
- Generalization capability. While several configuration capabilities are granted, these are confined to the science-policy relationships and to the hNBS for CECs configuration adopted.