Results 41 to 50 of about 16,825 (201)

Responsibility Effects in Decision Making under Risk [PDF]

, 2010
We systematically explore decision situations in which a decision maker bears responsibility for somebody else's outcomes as well as for her own in situations of payoff equality.
Pahlke, Julius, Strasser, Sebastian, Vieider, Ferdinand M.   +2 more
core   +2 more sources

Debiasing Thinking Among Non-WEIRD Reasoners

Cognition, 2023
Human reasoning has been shown to be biased in a variety of situations. While most studies have focused on samples of WEIRD participants (from Western Educated Industrialized Rich and Democratic societies), the sparse non-WEIRD data on the topic suggest an even stronger propensity for biased reasoning.
Boissin, Esther, Josserand, Mathilde, De Neys, Wim, Caparos, Serge   +3 more
openaire   +3 more sources

Cognitive Biases in Critical Decisions Facing SME Entrepreneurs: An External Accountants’ Perspective

Administrative Sciences, 2020
Decisions by small and medium enterprise (SME) entrepreneurs are plagued by a variety of cognitive biases. Extant literature has mainly focused on a limited number of important biases (e.g., overconfidence) in a handful of important entrepreneurial ...
Arno Nuijten, Nick Benschop, Antoinette Rijsenbilt, Kristinka Wilmink   +3 more
doaj   +1 more source

Debiasing System 1: Training favours logical over stereotypical intuiting

Judgment and Decision Making, 2022
Whereas people’s reasoning is often biased by intuitive stereotypical associations, recent debiasing studies suggest that performance can be boosted by short training interventions that stress the underlying problem logic.
Esther Boissin, Serge Caparos, Aikaterini Voudouri, Wim De Neys   +3 more
doaj   +1 more source

Bias-Reduction in Variational Regularization

, 2016
The aim of this paper is to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a consecutive debiasing step minimizing the data fidelity on an appropriate
Brinkmann, Eva-Maria, Burger, Martin, Rasch, Julian, Sutour, Camille   +3 more
core   +1 more source

The Orbital and Absolute Magnitude Distributions of Main Belt Asteroids [PDF]

, 1998
We have developed a model-independent analytical method for debiasing the four-dimensional (a,e,i,H) distribution obtained in any asteroid observation program and have applied the technique to results obtained with the 0.9m Spacewatch Telescope.
Anders, Belton, Bowell, Bowell, Cellino, Davis, Dohnanyi, Durda, Gehrels, Gladman, Gradie, Jedicke, Jedicke, Jedicke, Kresák, Kuiper, Landolt, Love, Marsden, Muinonen, R. Jedicke, Rabinowitz, Rabinowitz, Scotti, T.S. Metcalfe, Tholen, Tholen, Van Houten, Williams, Zappalà, Zellner   +30 more
core   +4 more sources

Enhancing misinformation correction: New variants and a combination of awareness training and counter-speech to mitigate belief perseverance bias.

PLoS ONE
Belief perseverance bias refers to individuals' tendency to persevere in biased opinions even after the misinformation that initially shaped those opinions has been retracted.
Jana Siebert, Johannes Ulrich Siebert
doaj   +1 more source

Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems

Applied Sciences, 2019
Deep neural networks (DNNs) have been quite successful in solving many complex learning problems. However, DNNs tend to have a large number of learning parameters, leading to a large memory and computation requirement.
Sangkyun Lee, Jeonghyun Lee
doaj   +1 more source

Project management under uncertainty [PDF]

, 1989
Morris' (1986) analysis of the factors affecting project success and failure is considered in relation to the psychology of judgement under uncertainty.
Skitmore, Martin, Stradling, S. G., Tuohy, A. P.   +2 more
core   +2 more sources

Photon counting compressive depth mapping [PDF]

, 2013
We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low
Howell, John C., Howland, Gregory A., Lum, Daniel J., Ware, Matthew R.   +3 more
core   +3 more sources