Meta-analytic techniques reveal that corvid causal reasoning in the Aesop’s Fable paradigm is driven by trial-and-error learning
Sign Up to like & getrecommendations! Published in 2018 at "Animal Cognition"
DOI: 10.1007/s10071-018-1206-y
Abstract: The classic Aesop’s fable, Crow and the Pitcher, has inspired a major line of research in comparative cognition. Over the past several years, five articles (over 32 experiments) have examined the ability of corvids (e.g.,… read more here.
Keywords: trial error; trial; causal reasoning; aesop fable ... See more keywords
Effect of conceptual and lexical errorless versus trial-and-error learning in amnestic mild cognitive impairment
Sign Up to like & getrecommendations! Published in 2019 at "Neuropsychological Rehabilitation"
DOI: 10.1080/09602011.2017.1361843
Abstract: ABSTRACT Errorless learning (EL), involving presenting the target information during encoding, is generally considered effective for teaching information to memory-impaired populations. However, evidence suggests that trial-and-error learning (TEL) can benefit healthy older adults’ memory when… read more here.
Keywords: trial error; mild cognitive; memory; target ... See more keywords
Default mode network-associated intrinsic connectivity relates to individual learnability differences in errorless and trial-and-error learning.
Sign Up to like & getrecommendations! Published in 2022 at "Applied neuropsychology. Adult"
DOI: 10.1080/23279095.2022.2111518
Abstract: The intrinsic functional network architecture accounts for task-evoked brain activity changes and variabilities in cognitive performance. Relationships between the intrinsic functional network architecture and task performance or learning ability have been previously reported. However, the… read more here.
Keywords: connectivity; error learning; network; functional network ... See more keywords
Closed-Loop Error Learning Control for Uncertain Nonlinear Systems With Experimental Validation on a Mobile Robot
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2019.2932757
Abstract: This article develops a closed-loop error learning control (CLELC) algorithm for feedback linearizable systems with experimental validation on a mobile robot. Traditional feedback and feedforward controllers are designed based on the nominal model by using… read more here.
Keywords: closed loop; control; loop error; mobile robot ... See more keywords
Feedback error learning neural network for stable control of nonlinear nonaffine systems
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221086076
Abstract: This study presents a stable feedback error learning (FEL) scheme for nonlinear nonaffine systems in the presence of uncertainty and disturbances. The distinguishing feature of the FEL method, which can have a significant effect on… read more here.
Keywords: error learning; neural network; control; nonlinear nonaffine ... See more keywords
Mitigating work conditions that can inhibit learning from errors: Benefits of error management climate perceptions
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1033470
Abstract: Introduction Professionals do not always learn from their errors; rather, the way in which professionals experience errors and their work environment may not foster, but can rather inhibit error learning. In the wake of a… read more here.
Keywords: error learning; error management; negative relationship; error ... See more keywords