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Creating A Memory of Causal Relationships

. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning system with;

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Creating A Memory of Causal Relationships

occurred. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning;

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Creating A Memory of Causal Relationships

occurred. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning;

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The Working Mind

A general organismic-causal theory that explicates working memory and executive function developmentally, clarifying the nature of human;

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Theory Of Causal Differential Equations

spaces, CDE with memory, CDE with fractional derivatives and causal set differential equations-giving initial apparatus, for further study;

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Advanced Statistics for Testing Assumed Causal Relationships

of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any;

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Practical Approaches to Causal Relationship Exploration

independence tests for causal discovery. The last two methods employ association rule mining for efficient causal hypothesis generation, and a partial;

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Discrete Causal Theory

under the assumption of a fundamental scale, with smooth spacetime geometry viewed as emergent. This approach resembles causal set theory, but;

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Causal Analysis in Population Studies

-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the;

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Causal Analysis in Population Studies

-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the;

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Understanding Developmental Disorders

A long--awaited book from developmental disorders expert John Morton, Understanding Developmental Disorders: A Causal Modelling Approach;

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Agency and Causal Explanation in Economics

(sometimes described as objects of nature and objects of thought) in the workings of causal and agency relationships. One of its important and;

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Agency and Causal Explanation in Economics

(sometimes described as objects of nature and objects of thought) in the workings of causal and agency relationships. One of its important and;

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Understanding Developmental Disorders

A long-awaited book from developmental disorders expert John Morton, Understanding Developmental Disorders: A Causal Modelling Approach;

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Cause & Correlation In Biology

Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such;

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Causality and Probability in the Sciences

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to;

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Abwesend und doch Prasent

possible to keep the deceased in memory in such a way that they are absent but still present?;

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Adventures of a Narrative Gardener: Creating a Landscape of Memory

This is the story of a garden, Bellevue House, in Newport, Rhode Island, that speaks to us about history and memory, inspiration and;

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Elementary School Children's Spelling-Specific Self-Beliefs

This book presents a study that concerns itself with selected findings on the measurement of the spelling-specific self-concept, on the;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

association analysis and modern causation analysis Use combinatorial optimization methods and various causal models as a general framework;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

various causal models as a general framework for inferring multilevel omic and image causal networks Present statistical methods;

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Art Therapy and the Neuroscience of Relationships, Creativity, and Resiliency

major art relational neuroscience principles relevant to art therapy and shows how they can be used to help clients with autobiographical memory;

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Causal Models in the Social Sciences

of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H;

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Exploratory Causal Analysis with Time Series Data

and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal;

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Beyond Money

This book offers a comprehensive review of how social relationships foster well-being and health at various stages of life. By explicitly;

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Dementia-Friendly Communities

Creating dementia-friendly communities can give people with dementia the chance to continue meaningful lives with reciprocal personal;

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Knowledge or Praxis?

multicultural education courses. Although the important role of causal attribution theory has been well-documented in a wide range of disciplines, its;

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