Day 3634, Causal Models.

Daily picture, Poetry
Some shadows 
from memories
are colorized

maybe by the time
past
or the moment

Causal Models (SEP)

Causal models are mathematical models representing causal relationships within an individual system or population. They facilitate inferences about causal relationships from statistical data. They can teach us a good deal about the epistemology of causation, and about the relationship between causation and probability. They have also been applied to topics of interest to philosophers, such as the logic of counterfactuals, decision theory, and the analysis of actual causation.

Causal modeling is an interdisciplinary field that has its origin in the statistical revolution of the 1920s, especially in the work of the American biologist and statistician Sewall Wright (1921). Important contributions have come from computer science, econometrics, epidemiology, philosophy, statistics, and other disciplines. Given the importance of causation to many areas of philosophy, there has been growing philosophical interest in the use of mathematical causal models. Two major works—Spirtes, Glymour, and Scheines 2000 (abbreviated SGS), and Pearl 2009—have been particularly influential.

A causal model makes predictions about the behavior of a system. In particular, a causal model entails the truth value, or the probability, of counterfactual claims about the system; it predicts the effects of interventions; and it entails the probabilistic dependence or independence of variables included in the model. Causal models also facilitate the inverse of these inferences: if we have observed probabilistic correlations among variables, or the outcomes of experimental interventions, we can determine which causal models are consistent with these observations. The discussion will focus on what it is possible to do in “in principle”. For example, we will consider the extent to which we can infer the correct causal structure of a system, given perfect information about the probability distribution over the variables in the system. This ignores the very real problem of inferring the true probabilities from finite sample data. In addition, the entry will discuss the application of causal models to the logic of counterfactuals, the analysis of causation, and decision theory.

Read the rest here: https://plato.stanford.edu/entries/causal-models/

Day 3584, ABSURD.

Daily picture, Definitions, Poetry
Do you lift a roof over your head
or is the lifting
roof enough?

Do any of them keep the rain out?

The Oxford Companion to Philosophy, 1995

ABSURD, THE. A term used by existentialists to describe that which one might have thought to be amenable to reason but which turns out to be beyond the limits of rationality. For example, in Sartre’s philosophy the ‘original choice’ of one’s fundamental project is said to be ‘absurd’, since, although choices are normally made for reasons, this choice lies beyond reason because all reasons for choice are supposed to be grounded in one’s fundamental
project. Arguably, this case in fact shows that Sartre is mistaken in supposing that reasons for choice are themselves grounded in a choice; and one can argue that other cases which are supposed to involve experience of the ‘absurd’ are in fact a *reductio ad absurdum of the assumptions which produce this conclusion. The ‘absurd’ does not in fact play an essential role within existentialist philosophy; but it is an important aspect of the broader cultural context of existentialism, for example in the ‘theatre of the absurd’, as exemplified by the plays of Samuel Beckett.

Day 3568, not the fault.

Daily picture, Quotes

Friedrich Nietzsche

Daybreak
Book IV

317 The judgment ofthe evening. – He who reflects on the work he has done during the day and during his life, but does so when he has finished it and is tired, usually arrives at a melancholy conclusion: this however is not the fault of his day or his life, but ofhis tiredness.- In the midst of our work we usually have no leisure to pass judgment on life and existence, nor in the midst ofour pleasures: but ifwe should happen to do so, we should no longer agree with him who waited for the seventh day and its repose before he decided that everything was very beautiful – he had let the better moment go by.