Name
Abstract | ||
|---|---|---|
We point to several kinds of knowledge that play an important role in controversial examples of actual causation. One is knowledge about the causal mechanisms in the domain and the causal processes that result from them. Another is knowledge of what conditions trigger such mechanisms and what conditions can make them fail. We argue that to solve questions of actual causation, such knowledge needs to be made explicit. To this end, we develop a new language in the family of CP-logic, in which causal mechanisms and causal processes are formal objects. We then build a framework for actual causation in which various "production" notions of actual causation are defined. Contrary to counterfactual definitions, these notions are defined directly in terms of the (formal) causal process that causes the possible world. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-19570-0_14 | Lecture Notes in Artificial Intelligence |
Field | DocType | Volume |
Causation,Cognitive psychology,Psychology | Conference | 11468 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Denecker | 1 | 1626 | 106.40 |
| Bart Bogaerts | 2 | 83 | 16.49 |
| Joost Vennekens | 3 | 434 | 37.36 |