Results 131 to 140 of about 196,651 (307)
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Visual adaptation to goal-directed hand actions
Prolonged exposure to visual stimuli, or adaptation, often results in an adaptation “aftereffect” which can profoundly distort our perception of subsequent visual stimuli.
Nick E. Barraclough +9 more
core +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
This study attempts to estimate the ‘utility cost’ of temporary employment contracts purged of the psychological effects of adaptation. A conjoint analysis experiment is used that examines the ex-ante contract preferences of a unique sample of low ...
Theodossiou, Ioannis +1 more
core
Features of psychological adaptation of novice teachers
В роботі досліджується процес психологічної адаптації педагогів-початківців. У першому розділі «Теоретичні основи вивчення особливостей психологічної адаптації» розглядалася адаптація як соціальний та психологічний процес, були проаналізовані взаємозв ...
Благой, Р. Р.
core
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Introduction: The relevance of this study is due to the increasing influence of quick and incomplete decision-making within crisis environments, particularly in extreme social or organizational contexts.
Mykhailo Zhylin +4 more
doaj
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
In this paper we summarise the main social barriers to adaptation presented in climate literature – the inherent uncertainty of climate change, fragmentation, institutional voids, short term horizon of politicians and policies, and the motives and ...
Termeer, C.J.A.M. +3 more
core
ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley +1 more source

