Most scholarship, and almost all interdisciplinary scholarship, involves the investigation of causal relationships among phenomena. Yet existing classification systems in widespread use have not focused on classifying works in terms of causal relationships. In order to allow all users interested in a particular causal link to readily find (only) all relevant works, it is necessary to develop a classification of phenomena such that each phenomenon occurs in only one place, and a classification of the sort of relationships that exist among phenomena. Such a classification would be of huge benefit to interdisciplinary scholars, and would also be useful for disciplinary scholars. In particular it will enhance the rate of discovery of "undiscove...
Causality is a complex concept, which roots its developments across several fields, such as statisti...
Learning the skill to discover causal relations and to make use of them is said to be an essential s...
Causality is a complex concept, which roots its developments across several fields, such as statisti...
Purpose - This paper aims to respond to the 2005 paper by Hjorland and Nissen Pedersen by suggesting...
The explosive growth of information at a mind-boggling scale has become an emerging phenomenon of o...
Using a standard counterexample to probabilistic theories of causation as an illustration, this chap...
Causal Discovery has become an area of high interest for researchers. It haslead to great advances i...
This is a surv.ey article on the taxonomy of causal relations and their linguistic realiza-tions. Ca...
The vast majority of scholarly research addresses how one or more things affect in some way(s) one o...
Determining what constitutes a causal relationship between two or more concepts, and how to infer ca...
Knowledge of cause and effect allows people to navigate and understand the complex systems of the wo...
Ascribing causality amounts to determining what elements in a sequence of reported facts can be rela...
A theory of categorization is presented in which knowledge of causal relationships between category ...
Interdisciplinarity is considered the best way to face practical research topics since synergy betwe...
Perhaps the key philosophical questions concerning causality are the follow-ing: • what are causal r...
Causality is a complex concept, which roots its developments across several fields, such as statisti...
Learning the skill to discover causal relations and to make use of them is said to be an essential s...
Causality is a complex concept, which roots its developments across several fields, such as statisti...
Purpose - This paper aims to respond to the 2005 paper by Hjorland and Nissen Pedersen by suggesting...
The explosive growth of information at a mind-boggling scale has become an emerging phenomenon of o...
Using a standard counterexample to probabilistic theories of causation as an illustration, this chap...
Causal Discovery has become an area of high interest for researchers. It haslead to great advances i...
This is a surv.ey article on the taxonomy of causal relations and their linguistic realiza-tions. Ca...
The vast majority of scholarly research addresses how one or more things affect in some way(s) one o...
Determining what constitutes a causal relationship between two or more concepts, and how to infer ca...
Knowledge of cause and effect allows people to navigate and understand the complex systems of the wo...
Ascribing causality amounts to determining what elements in a sequence of reported facts can be rela...
A theory of categorization is presented in which knowledge of causal relationships between category ...
Interdisciplinarity is considered the best way to face practical research topics since synergy betwe...
Perhaps the key philosophical questions concerning causality are the follow-ing: • what are causal r...
Causality is a complex concept, which roots its developments across several fields, such as statisti...
Learning the skill to discover causal relations and to make use of them is said to be an essential s...
Causality is a complex concept, which roots its developments across several fields, such as statisti...