Combining Causal Bayes Nets and Cellular Automata: A Hybrid Modelling Approach to Mechanisms

2020 ◽  
pp. 000-000
Author(s):  
Alexander Gebharter ◽  
Daniel Koch
Keyword(s):  
Cellular Automata ◽  
Hybrid Modelling ◽  
Bayes Nets ◽  
Causal Bayes Nets ◽  
Modelling Approach

Investigation of a New Approach to Predict Water Quality Extremes with a Case Study of Chemical Determinands in Stream Water

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Probability Distributions ◽  
Management Strategies ◽  
Hybrid Modelling ◽  
Trend Model ◽  
Environmental Extremes ◽  
Modelling Approach

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.

Causal Models and Conditional Reasoning

2017 ◽  
Author(s):  
Mike Oaksford ◽  
Nick Chater
Keyword(s):  
Model Theory ◽  
Causal Model ◽  
Recent Model ◽  
Causal Models ◽  
Conditional Reasoning ◽  
Cognitive System ◽  
Markov Condition ◽  
Bayes Nets ◽  
Causal Bayes Nets ◽  
Conditional Statements

There are deep intuitions that the meaning of conditional statements relate to probabilistic law-like dependencies. In this chapter it is argued that these intuitions can be captured by representing conditionals in causal Bayes nets (CBNs) and that this conjecture is theoretically productive. This proposal is borne out in a variety of results. First, causal considerations can provide a unified account of abstract and causal conditional reasoning. Second, a recent model (Fernbach & Erb, 2013) can be extended to the explicit causal conditional reasoning paradigm (Byrne, 1989), making some novel predictions on the way. Third, when embedded in the broader cognitive system involved in reasoning, causal model theory can provide a novel explanation for apparent violations of the Markov condition in causal conditional reasoning (Ali et al, 2011). Alternative explanations are also considered (see, Rehder, 2014a) with respect to this evidence. While further work is required, the chapter concludes that the conjecture that conditional reasoning is underpinned by representations and processes similar to CBNs is indeed a productive line of research.

A hybrid modelling approach for eliciting health state preferences: the Portuguese EQ-5D-5L value set

2019 ◽  
Vol 28 (12) ◽  
pp. 3163-3175 ◽  
Author(s):  
Pedro L. Ferreira ◽  
Patrícia Antunes ◽  
Lara N. Ferreira ◽  
Luís N. Pereira ◽  
Juan M. Ramos-Goñi
Keyword(s):  
Health State ◽  
Hybrid Modelling ◽  
Value Set ◽  
Modelling Approach ◽  
State Preferences ◽  
Health State Preferences

scholarly journals A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows

2013 ◽  
Vol 58 (2) ◽  
pp. 374-389 ◽  
Author(s):  
Shouke Wei ◽  
Hong Yang ◽  
Jinxi Song ◽  
Karim Abbaspour ◽  
Zongxue Xu
Keyword(s):  
Neural Network ◽  
Wavelet Neural Network ◽  
Hybrid Modelling ◽  
Modelling Approach

scholarly journals Norms and high-level cognition: Consequences, trends, and antidotes

2011 ◽  
Vol 34 (5) ◽  
pp. 260-261
Author(s):  
Simon McNair ◽  
Aidan Feeney
Keyword(s):  
Bayes Nets ◽  
Psychological Science ◽  
Causal Bayes Nets ◽  
High Level

AbstractWe are neither as pessimistic nor as optimistic as Elqayam & Evans (E&E). The consequences of normativism have not been uniformly disastrous, even among the examples they consider. However, normativism won't be going away any time soon and in the literature on causal Bayes nets new debates about normativism are emerging. Finally, we suggest that to concentrate on expert reasoners as an antidote to normativism may limit the contribution of research on thinking to basic psychological science.

Hybrid modelling approach for effective simulation of reactive pollutants like Ozone

2013 ◽  
Vol 80 ◽  
pp. 408-414 ◽  
Author(s):  
Sumit Sharma ◽  
Prateek Sharma ◽  
Mukesh Khare
Keyword(s):  
Hybrid Modelling ◽  
Modelling Approach

A hybrid modelling approach to develop scenarios for China's carbon dioxide emissions to 2050

Energy Policy ◽  
2013 ◽  
Vol 59 ◽  
pp. 614-632 ◽  
Author(s):  
Ajay Gambhir ◽  
Niels Schulz ◽  
Tamaryn Napp ◽  
Danlu Tong ◽  
Luis Munuera ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Hybrid Modelling ◽  
Modelling Approach
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