Now, a research team led by the University of Michigan has brought this rigorous frontier to one of AI’s most ubiquitous and influential applications: recommendation systems. Their groundbreaking work ...
Researchers developed theoretical foundations for methods that could identify the best way to aggregate genes into modules and efficiently learn the underlying cause-and-effect relationships among ...
Most economists subscribe to a belief in “positive economics,” which means that economic theory flows from economic data. Thus, all theory can be tested for ...
Causal Set Theory (CST) offers a compelling approach to reconciling quantum theory and general relativity by postulating that spacetime, at its most fundamental level, is discrete rather than ...
This paper introduces Causal Agency Theory, an extension of the functional model of self-determination. Causal Agency Theory addresses the need for interventions and assessments pertaining to ...
In a letter to Wlodek Rabinowicz, David Lewis introduced a decision scenario that he described as "much more problematic for decision theory than the Newcomb Problems". This scenario, which involves ...
Correspondence to Dr Rasmus Oestergaard Nielsen, Department of Public Health, Section for Sports Science, Aarhus University, Aarhus 8000, Denmark; roen{at}ph.au.dk Background It is widely accepted ...
CAMBRIDGE, MA – By studying changes in gene expression, researchers learn how cells function at a molecular level, which could help them understand the development of certain diseases. But a human has ...
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