Causal Loops and the Independence of Causal Facts
نویسندگان
چکیده
منابع مشابه
Causal Loops
Causal loops are loops in cause-effect chains: An effect can be the cause of that effect’s cause. We show that causal loops can be unproblematic, and explore them from different points of view. This thesis is motivated by quantum theory, general relativity, and quantum gravity. By accepting all of quantum theory one can ask whether the possibility to take superpositions extends to causal struct...
متن کاملIndependence and Conditional Independence in Causal Systems
This paper studies the interrelations between independence or conditional independence and causal relations, defined in terms of functional dependence, that hold among variables of interest within the settable system framework of White and Chalak. We provide formal conditions ensuring the validity of Reichenbach’s principle of common cause and introduce a new conditional counterpart, the condit...
متن کاملStochastic Independence and Causal Connection
Assumptions of stochastic independence are crucial to statistical models in science. Under what circumstances is it reasonable to suppose that two events are independent? When they are not causally or logically connected, so the standard story goes. But scienticmodels frequently treat causally dependent events as stochastically independent, raising the question whether there are kinds of causa...
متن کاملProbabilistic Independence of Causal Influences
One practical problem with building large scale Bayesian network models is an exponential growth of the number of numerical parameters in conditional probability tables. Obtaining large number of probabilities from domain experts is too expensive and too time demanding in practice. A widely accepted solution to this problem is the assumption of independence of causal influences (ICI) which allo...
متن کاملTransparency of Independence Relations in Causal Bayes Nets : Causal Forks and Causal Chains
by Colin Beam, Cognition & Perception Advisor: John Miyamoto Within cognitive psychology, there has been growing interesting in recent years in the application of Bayesian methods to model learning and reasoning. In particular, some researchers have endeavored to use causal Bayes nets to model causal learning and reasoning. Bayesian nets are graphical representations of causal relations; in the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Philosophy of Science
سال: 2001
ISSN: 0031-8248,1539-767X
DOI: 10.1086/392900