Results 51 to 60 of about 10,244 (239)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

The whole is larger than the sum of its parts: additive effects of SMS nudge bundles

open access: yesFrontiers in Communication
Public access to housing is a challenge for a large number of societies and follows a great number of limitations. Here, we test several SMS-interventions aiming at motivating people to get information on affordable loans for housing options actually ...
Sergio Barbosa, Juan Pablo Bermúdez
doaj   +1 more source

Effects of side-effect risk framing strategies on COVID-19 vaccine intentions: a randomized controlled trial

open access: yeseLife, 2022
Background: Fear over side-effects is one of the main drivers of COVID-19 vaccine hesitancy. A large literature in the behavioral and communication sciences finds that how risks are framed and presented to individuals affects their judgments of its ...
Nikkil Sudharsanan   +4 more
doaj   +1 more source

Are self-nudges effective? [PDF]

open access: yes, 2023
Nudges have been shown to be successful behavioral interventions. However, nudges have also been criticized to be paternalistic and infringe upon decision makers’ (DMs) autonomy. One solution that has been proposed is self-nudges—let DMs nudge themselves.
McKenzie, Craig R. M.   +3 more
core  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Once and Future Nudges [PDF]

open access: yes, 2017
The nudge – a form of behaviorally-informed regulation that attempts to account for people’s scarce cognitive resources – has been explosively successful at colonizing the regulatory state.
Rowell, Arden
core   +1 more source

The Moral Permissibility of Nudges [PDF]

open access: yes, 2020
Nudging is the idea that people’s decisions and behaviors can be influenced in predictable, non-coercive ways by making small changes to the choice architecture.
Joly Chock, Valerie
core   +3 more sources

How to Effectively Encourage Sustainable Food Choices: A Mini-Review of Available Evidence

open access: yesFrontiers in Psychology, 2020
Food choices are difficult to change. People’s individual motivations (such as taste, cost, and food preferences) can be at odds with the negative environmental outcomes of their food choices (such as deforestation, water pollution, and climate change ...
Wokje Abrahamse
doaj   +1 more source

Assessing strategic, tactical, and operational decision-making and risk in a livestock production chain through experimental simulation platforms

open access: yesFrontiers in Veterinary Science, 2022
This paper provides a research summary of a series of serious games and simulations that form the basis of an experimental platform for the study of human decision-making and behavior associated with biosecurity across complex livestock production chains.
Christopher Koliba   +7 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

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