Add to ORKGWe present a method for formalising the behaviour of simple deterministic devices and protocols in a way that makes explicit the causal dependencies amongst the component elements, thereby allowing true causal (as opposed to purely temporal) reasoning. Our intention is to handle such systems effectively in the simplest possible way, without invoking additional problematic considerations (concerning, for example, non-monotonicity) that may be necessary for modelling a more general range of scenarios
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized he...
We point to several kinds of knowledge that play an important role in controversial examples of actu...
This dissertation studies the definition, identification, and estimation of causal effects within th...
Causality is a central concept in science, in philosophy and in life. However, reviewing various app...
A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality...
This chapter describes a nonmonotonic causal logic designed for representing knowledge about the eff...
While standard procedures of causal reasoning as procedures analyzing causal Bayesian networks are c...
We propose a framework for simple causal theories of action, and study the computational complexity ...
This paper explores mathematical relationships between the "causal theories" formalism rec...
Causal relations of various kinds are a pervasive feature of human language and theorising about the...
We present a denition of cause and eect in terms of decision-theoretic primitives and thereby provid...
This thesis presents a theory of human-like reasoning in the general domain of designed physical s...
Formalizing commonsense knowledge for reasoning about time has long been a central issue in AI. It h...
International audienceIn this position paper we discuss three main shortcomings of existing approach...
It has been argued that causal rules are necessary for representing both implicit side-effects of ac...
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized he...
We point to several kinds of knowledge that play an important role in controversial examples of actu...
This dissertation studies the definition, identification, and estimation of causal effects within th...
Causality is a central concept in science, in philosophy and in life. However, reviewing various app...
A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality...
This chapter describes a nonmonotonic causal logic designed for representing knowledge about the eff...
While standard procedures of causal reasoning as procedures analyzing causal Bayesian networks are c...
We propose a framework for simple causal theories of action, and study the computational complexity ...
This paper explores mathematical relationships between the "causal theories" formalism rec...
Causal relations of various kinds are a pervasive feature of human language and theorising about the...
We present a denition of cause and eect in terms of decision-theoretic primitives and thereby provid...
This thesis presents a theory of human-like reasoning in the general domain of designed physical s...
Formalizing commonsense knowledge for reasoning about time has long been a central issue in AI. It h...
International audienceIn this position paper we discuss three main shortcomings of existing approach...
It has been argued that causal rules are necessary for representing both implicit side-effects of ac...
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized he...
We point to several kinds of knowledge that play an important role in controversial examples of actu...
This dissertation studies the definition, identification, and estimation of causal effects within th...