Causality discovery technology

Causality discovery technology

Causality is the fabric of our dynamic world. We all make frequent attempts to reason causation relationships of everyday events (e.g., what was the cause of my headache, or what has upset Alice?). We attempt to manage causality all the time through planning and scheduling. The greatest scientific d...

Bibliográfalaš dieđut
Váldodahkkit:	Chen, M, Ertl, T, Jirotka, M, Trefethen, A, Schmidt, A, Coecke, B, Banares-Alcantara, R
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	2012

Geahča maid

From Data Analysis and Visualization to Causality Discovery.
Dahkki: Chen, M, et al.
Almmustuhtton: (2011)

From Data Analysis and Visualization to Causality Discovery
Dahkki: Chen, M, et al.
Almmustuhtton: (2011)

Differentiable causal backdoor discovery
Dahkki: Gultchin, L, et al.
Almmustuhtton: (2020)

Causal discovery with ancestral graphs
Dahkki: Hu, Z
Almmustuhtton: (2023)

Causal structure discovery from incomplete data
Dahkki: Squires, Chandler(Chandler B.)
Almmustuhtton: (2020)

Time asymmetry of probabilities versus relativistic causal structure: an arrow of time.
Dahkki: Coecke, B, et al.
Almmustuhtton: (2012)

From Logs to Causal Analysis: A Guided User Interface for Causal Graph Discovery
Dahkki: Gao, Trinity
Almmustuhtton: (2024)

Information-Theoretic Algorithms and Identifiability for Causal Graph Discovery
Dahkki: Compton, Spencer
Almmustuhtton: (2022)

Perspectives on the potential roles of engineers in the formulation, implementation and enforcement of policies
Dahkki: Banares-Alcantara, R
Almmustuhtton: (2010)

Design and integration of policies to achieve environmental targets
Dahkki: Banares-Alcantara, R
Almmustuhtton: (2008)

H-Techsight: a knowledge management platform for technology intensive industries
Dahkki: Kokossis, A, et al.
Almmustuhtton: (2005)

Simulation-based counterfactual causal discovery on real world driver behaviour
Dahkki: Howard, R, et al.
Almmustuhtton: (2023)

A knowledge representation model for the optimisation of electricity generation mixes
Dahkki: Tahir, A, et al.
Almmustuhtton: (2012)

Renewable methanol production: Understanding the interplay between storage sizing, renewable mix and dispatchable energy price
Dahkki: Chen, C, et al.
Almmustuhtton: (2021)

Minimal I-MAP MCMC for scalable structure discovery in causal DAG models
Dahkki: Agrawal, Raj,S.M.Massachusetts Institute of Technology.
Almmustuhtton: (2020)

ABCD-strategy: Budgeted experimental design for targeted causal structure discovery
Dahkki: Uhler, Caroline, et al.
Almmustuhtton: (2021)

Towards probabilistic causal discovery, inference & explanations for autonomous drones in mine surveying tasks
Dahkki: Cannizzaro, R, et al.
Almmustuhtton: (2023)

Retrofit by inspection using thermodynamic process visualisation
Dahkki: Lakshmanan, R, et al.
Almmustuhtton: (1998)

Evaluating temporal observation-based causal discovery techniques applied to road driver behaviour
Dahkki: Howard, R, et al.
Almmustuhtton: (2023)

Which policy first? A network-centric approach for the analysis and ranking of policy measures
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2013)

Improving the Organisational Memory by recording decision making, rationale and team configuration
Dahkki: Alvarado, M, et al.
Almmustuhtton: (2005)

Formulating a policy package : what to start with? a new technique for the ranking of policy measures
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2011)

Which policy first? Applying network theory to policy analysis
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2011)

A virtual environment for the formulation of policy packages
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2014)

Application of an agent-based system as a virtual environment for the formulation of policies
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2011)

Direct and indirect electrification of chemical industry using methanol production as a case study
Dahkki: Chen, C, et al.
Almmustuhtton: (2019)

Green ammonia as a spatial energy vector: a review
Dahkki: Salmon, N, et al.
Almmustuhtton: (2021)

Impact of grid connectivity on cost and location of green ammonia production: Australia as a case study
Dahkki: Salmon, N, et al.
Almmustuhtton: (2021)

Impact of process flexibility and imperfect forecasting on the operation and design of Haber–Bosch green ammonia
Dahkki: Salmon, N, et al.
Almmustuhtton: (2023)

A global, spatially granular techno-economic analysis of offshore green ammonia production
Dahkki: Salmon, N, et al.
Almmustuhtton: (2022)

Preconceptions and typical problems of teaching with process simulators
Dahkki: Jimenez, L, et al.
Almmustuhtton: (2002)

A new catalog of the most promising separation sequences for homogeneous azeotropic mixtures I. Systems without boundary crossing
Dahkki: Manan, Z, et al.
Almmustuhtton: (2001)

A System to Support Policy Development for the Sustainable Production of Biofuels
Dahkki: Singh, M, et al.
Almmustuhtton: (2009)

Development of a novel framework for the design of transport policies to achieve environmental targets
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2009)

A Compliance Management System for the Pharmaceutical Industry
Dahkki: Fisher, J, et al.
Almmustuhtton: (2008)

Multi-agent systems for ontology-based information retrieval
Dahkki: Banares-Alcantara, R, et al.
Almmustuhtton: (2005)

A Novel Approach to Policy Design Using Process Design Principles
Dahkki: Taeihagh, A, et al.
Almmustuhtton: (2009)

Application of a support system to the design of wastewater treatment plants
Dahkki: Roda, I, et al.
Almmustuhtton: (2000)

Techno-economic viability of islanded green ammonia as a carbon-free energy vector and as a substitute for conventional production
Dahkki: Nayak-Luke, RM, et al.
Almmustuhtton: (2020)

A concurrent engineering approach for an effective process design support system
Dahkki: Gelete, S, et al.
Almmustuhtton: (2002)