Add to ORKGA definition of causation as probability-raising is threatened by two kinds of counterexample: first, when a cause lowers the probability of its effect; and second, when the probability of an effect is raised by a non-cause. In this paper, I present an account that deals successfully with problem cases of both these kinds. In doing so, I also explore some novel implications of incorporating into the metaphysical investigation considerations of causal psychology
A common objection to probabilistic theories of causation is that there are prima facie causes that ...
Metaphysicians and philosophers of science have recently been analyzing two species of causation: de...
It is now common to hold that causes do not always (and perhaps never) determine their effects, and...
A definition of causation as probability-raising is threatened by two kinds of counterexample: first...
The concept of causation is essential for understanding relationships among various phenomena, yet i...
[Introduction] According to probabilistic theories of causation, causes raise the probabilities of t...
In this paper we will proceed in the following way: firstly we will give In this paper we will proce...
Causation is defined as a relation between facts: C causes E if and only if C and E are nomologicall...
The starting point in the development of probabilistic analyses of token causation has usually been ...
Philosophers have long been fascinated by the connection between cause and effect: are 'causes' thin...
In studying causation, many examples are presented assuming that determinism holds in the world of t...
This paper seeks to cast light on some of the more puzzling aspects of causation. My initial aim is ...
My thesis examines Kim’s Causal Exclusion Argument (CEA) against the existence of mental causation o...
The chapter explores whether, or to what extent, recent work in experimental philosophy puts pressur...
In this paper I present both a critical appraisal of Humphreys\u27 probabilistic theory of causality...
A common objection to probabilistic theories of causation is that there are prima facie causes that ...
Metaphysicians and philosophers of science have recently been analyzing two species of causation: de...
It is now common to hold that causes do not always (and perhaps never) determine their effects, and...
A definition of causation as probability-raising is threatened by two kinds of counterexample: first...
The concept of causation is essential for understanding relationships among various phenomena, yet i...
[Introduction] According to probabilistic theories of causation, causes raise the probabilities of t...
In this paper we will proceed in the following way: firstly we will give In this paper we will proce...
Causation is defined as a relation between facts: C causes E if and only if C and E are nomologicall...
The starting point in the development of probabilistic analyses of token causation has usually been ...
Philosophers have long been fascinated by the connection between cause and effect: are 'causes' thin...
In studying causation, many examples are presented assuming that determinism holds in the world of t...
This paper seeks to cast light on some of the more puzzling aspects of causation. My initial aim is ...
My thesis examines Kim’s Causal Exclusion Argument (CEA) against the existence of mental causation o...
The chapter explores whether, or to what extent, recent work in experimental philosophy puts pressur...
In this paper I present both a critical appraisal of Humphreys\u27 probabilistic theory of causality...
A common objection to probabilistic theories of causation is that there are prima facie causes that ...
Metaphysicians and philosophers of science have recently been analyzing two species of causation: de...
It is now common to hold that causes do not always (and perhaps never) determine their effects, and...