نتایج جستجو برای: causal conditions

تعداد نتایج: 905344  

Journal: :Artif. Intell. 2009
Omer Giménez Anders Jonsson

A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffected by the action. This concept is well-founded since k is a constant for all but a few of the standard planning domains, and is known to have implications for tractability. In this paper, we present several new complexity results for P(k), the class of kdependent planning problems with binary vari...

2011
Miguel A. Hernán James M. Robins

2007
ELIZABETH A. STUART DONALD B. RUBIN

2001
Tsai-Ching Lu Marek J. Druzdzel

The term “changes in structure,” originating from work in econometrics, refers to structural modifications invoked by actions on a causal model. In this paper we formalize the representation of reversibility of a mechanism in order to support modeling of changes in structure in systems that contain reversible mechanisms. Causal models built on our formalization can answer two new types of queri...

Journal: :Transactions of the American Mathematical Society 2003

Journal: :Axiomathes 2022

This work presents a defense of causal contrastivism based on contexualism. As argued, our proposal contextualism is compatible with both and binarism, including explanations why in which sense secondary counterfactuals are relevant.

Journal: :پژوهش و برنامه ریزی روستایی 0
عادل سلیمانی حسن افراخته فرهاد عزیزپور اصغر طهماسبی

extended abstract 1. introduction various effects of continuous drought, contributes to the vulnerability of rural households and their livelihoods is unstable, dynamic and multi-dimensional nature and vulnerability of drought it difficult to provide the study. however, to understand what an important role in mitigating the effects of drought vulnerability and improve the livelihood of rural pe...

2017
Jan Sprenger

This paper develops axiomatic foundations for a probabilistic theory of causal strength as difference-making. I proceed in three steps: First, I motivate the choice of causal Bayes nets as an adequate framework for defining and comparing measures of causal strength. Second, I prove several representation theorems for probabilistic measures of causal strength— that is, I demonstrate how these me...

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