Results 31 to 40 of about 57,084 (288)

The trouble with overconfidence. [PDF]

Psychological Review, 2007
This paper presents a reconciliation of the three distinct ways in which the research literature has defined overconfidence: (1) overestimation of one’s actual performance, (2) overplacement of one’s performance relative to others, and (3) excessive precision in one’s beliefs.
Don A. Moore, Paul J. Healy
openaire   +2 more sources

Overconfidence and Career Choice [PDF]

PLOS ONE, 2016
People self-assess their relative ability when making career choices. Thus, confidence in their own abilities is likely an important factor for selection into various career paths. In a sample of 711 first-year students we examine whether there are systematic differences in confidence levels across fields of study.
Jonathan F. Schulz, Christian Thöni
openaire   +6 more sources

Supply Chain Decisions and Coordination under the Combined Effect of Overconfidence and Fairness Concern

Complexity, 2020
The purpose of this study was to examine the joint effect of overconfidence and fairness concern on supply chain decisions and design contracts to achieve a win-win situation within the supply chain.
Zhang Zhijian, Peng Wang, Miyu Wan, Junhua Guo, Jian Liu   +4 more
doaj   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Apparent overconfidence [PDF]

, 2011
It is common for a majority of people to rank themselves as better than average on simple tasks and worse than average on dificult tasks. The literature takes for granted that this apparent miscon?dence is problematic. We argue, however, that this behaviour is consistent with purely rational Bayesian updaters.
Benoit, J-P, Dubra, J
openaire  

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Aspek Perilaku Dalam Overconfidence: Analysis Bibliometric

Jurnal Manajemen dan Bisnis Kreatif
Abstract This research aims to conduct a bibliometric analysis of bias overconfidence published from 2017 to 2023. The Crossref database is used to gather information on studies related to overconfidence. A total of 2105 articles have been collected with
Wiara Sanchia Grafita Ryana Devi, Rengga Madya Pranata   +1 more
doaj   +3 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source