Results 191 to 200 of about 4,402 (251)

Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab

Symbolic Interaction, EarlyView.
How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz, Leslie DeChurch, Noshir Contractor   +2 more
wiley   +1 more source

Designing effective explainable AI: a human-centered evaluation of explanation formats in financial decision-making. [PDF]

Front Artif Intell
Maathuis H, Stalenhoef M, van Otterloo S, Zwaal R, van Montfort K, Sent D.   +5 more
europepmc   +1 more source

Using Visual Systems Mapping to Improve Transparency and Comparability of Life Cycle Assessment Baseline Scenarios

Systems Engineering, EarlyView.
ABSTRACT Visual systems mapping is a systems engineering approach used to represent complex processes and interactions. This study evaluates its application for documenting assumptions in life cycle assessment (LCA) baseline scenarios. In LCA, the baseline or reference case represents the business as usual system against which changes in impacts (e.g.,
Maggie R. Davis, Steven Conrad
wiley   +1 more source

The causal effect of parent occupation on child occupation: A multivalued treatment with positivity constraints. [PDF]

Sociol Methods Res
Lundberg I, Molitor D, Brand JE.
europepmc   +1 more source

Counterfactual history

Proceedings of the National Academy of Sciences
openaire   +3 more sources

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source

Does neural computation feel like something? [PDF]

Front Neurosci
Gidon A, Aru J, Larkum ME.
europepmc   +1 more source

How weather got its words: a history of meteorological English – Part 2: the scientific age and beyond

Weather, EarlyView.
The English language is a gargantuan, gluttonous beast. It has become extraordinary in its powers of assimilation – such that we rarely consider the origins of the words we use. In this paper, we will shed light on these origins, including the Pontic–Caspian steppe, the British Empire and, of course, a TV show.
Kieran M. R. Hunt
wiley   +1 more source

The causal impact of segregation on a disparity: A gap-closing approach. [PDF]

Sociol Sci
Lundberg I.
europepmc   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source