Search Results - subject_exact:"Lernprozess"

A computational approach to cognitive architecture with adaptive networks and entropy-driven dynamics

Arbaoui, Billel - 2026

This study presents a computational approach to cognitive architecture that integrates adaptive networks with entropy-driven dynamics to model the evolution and stabilization of mental states. The framework combines temporal-causal network modeling with entropy-based mechanisms inspired by...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654358

Earning while learning : how to run batched bandit experiments

Kemper, Jan; Rostam-Afschar, Davud - 2026

Researchers typically collect experimental data sequentially, allowing early outcome observations and adaptive treatment assignment to reduce exposure to inferior treatments. This article reviews multiarmed-bandit adaptive experimental designs that balance exploration and exploitation. Because...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616878

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Earning while learning : how to run batched bandit experiments

Kemper, Jan; Rostam-Afschar, Davud - 2026

Book / Working Paper

An adaptive graph-based method for structured learning and decision analysis

Samanta, Sovan; Allahviranloo, Tofigh; Mrsic, Leo; … - 2026

Many decision-support systems operate as networks of interacting units (e.g., hospital departments, transportation hubs, or organizational teams). In such systems, different units often use different data representations and model parameters, so direct comparison of local model states across...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654360

Parental educational styles with externalities

Cabrales, Antonio; Hauk, Esther - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655479

Credit risk assessment with stacked machine learning

Columba, Francesco; Cugliari, Manuel; Di Virgilio, Stefano - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562268

Forecasting stock market behavior in BRICS economies using artificial neural machine learning models

Panigrahi, Shrikant; Kukreja, Gagan; Kumaraswamy, Sumathi - 2026

Purpose - This study aims to forecast the stock market behavior of BRICS nations (Brazil, Russia, India, China and South Africa) using advanced machine learning models. The focus is on identifying market trends, predicting future index prices and analyzing returns. Design/methodology/approach -...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015592502

Merger and acquisition prediction based on deep learning with attention mechanism

Wan, Liangyong; Zheng, Yongjia; Xu, Xiaoying; Wang, Rui - 2026

This study proposes a novel attention-based deep neural network (AttDNN) model specifically designed for predicting mergers and acquisitions (M&A). The model extends existing deep learning frameworks by incorporating M&A-specific features, regularization layers, and an attention mechanism that...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015596393

Learning through play: building cooperative capacities to overcome social challenges

Sánchez, Cristian-Gil; Benson, Allison; Perez, Natalia - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609084

Hybrid modelling using simulation and machine learning in healthcare

Ahmadi, Ali; Fakhimi, Masoud; Magnusson, Carin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015552381

Transfer learning of discount curves between bonds and swaps : an empirical study

Camenzind, Nicolas; Filipović, Damir - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609770

The accuracy and malleability of parental beliefs about child socio-emotional health

Bousselin, Audrey; Brocas, Isabelle; Menta, Giorgia; … - 2026

We document systematic parental under-reporting of children's socio-emotional difficulties relative to children's self-reports, using representative data from Luxembourg, the United Kingdom, and Australia. To study the origins of this discrepancy, we develop a simple theoretical framework...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609882

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The accuracy and malleability of parental beliefs about child socio-emotional health

Bousselin, Audrey; Brocas, Isabelle; Menta, Giorgia; … - 2026

Book / Working Paper

Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs

Qu, Shiyuan; Dong, Fenglian; Wei, Zhiwei; Shang, Chao - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015552389

Technology : theory-driven experimentation and combinatorial salience

Felin, Teppo; Singell, Madison - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015583625

Educational Access and Learning Outcomes in Myanmar

Fukao, T.; Katwal, S.; Kyaw, A. P.; Thwin, M. M. - 2026

Myanmar’s education system stands at a critical juncture, shaped by overlapping crises and significant resilience. Following years of conflict, political instability, and economic stress, recent data reveal both progress and persistent vulnerabilities. Primary school enrollment has largely...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613935

An overview of short-term wind power forecasting : multi-scale decomposition and multi-model deep learning fusion

Mei, Yan; Che, Jinxing; Sun, Qian; Dong, Wei - 2026

Accurate wind power forecasting is crucial for the effective scheduling and scientific management of wind energy, enhancing the safety and reliability of power grids. To handle the inherent intermittency of wind energy, forecasting methodologies have evolved from traditional statistical models...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605194

Explanations

Graeber, Thomas; Roth, Christopher; Schesch, Constantin - 2026

When people exchange knowledge, both truths and falsehoods can proliferate. We study the role of explanations for the spread of truths and falsehoods in 15 financial decision tasks. Participants record the reasoning behind each of their answers with incentives for accuracy of their listeners'...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614355

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Explanations

Graeber, Thomas; Roth, Christopher; Schesch, Constantin - 2024

Book / Working Paper

Stochastic adaptive learning in dominance solvable games

Funai, Naoki - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614378

Identifying weak signals in the labor market : a machine learning approach for strategic policymaking

Kanzola, Anna-Maria; Papaioannou, Konstantina; … - 2026

This study introduces a novel machine learning-based methodology for detecting and forecasting the strength of weak signals in the labor market, using Greece as a case study and utilizing Eurostat time series data (2000-2023). Weak signals, conceptualized as subtle anomalies within otherwise...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015607728

Adaptive credit card fraud detection : reinforcement learning agents vs. anomaly detection techniques

Mekhlouf, Houda Ben; Moussaid, Abdellatif; Ghanimi, Fadoua - 2026

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628709

Gender differences in learning about a spouse's health : field and experimental evidence

Jia, Ruo; Mo, Jiawei; Zhang, Chang; Zheng, Jiakun - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614391

Student value of a transdisciplinary approach to curriculum development

Atkinson-Toal, Aarron - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638244

AI versus humans as authority figures : evidence from a rule-compliance experiment

Atella-Suri, Dominik; Gächter, Simon; Kube, Sebastian - 2026

AI-driven systems are rapidly moving from decision support to directing human behavior through rules, recommendations, and compliance requests. This shift expands everyday human-AI interaction and raises the possibility that AI may function as an authority figure. However, the behavioral...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614901

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AI versus humans as authority figures : evidence from a rule-compliance experiment

Atella-Suri, Dominik; Gächter, Simon; Kube, Sebastian - 2026

Book / Working Paper

A machine learning and evolutionary optimization framework for carbon-aware supply chain routing

Sánchez-Pravos, Lorena; Parra-Domínguez, Javier; … - 2026

The increasing urgency of carbon footprint reduction in supply chain operations demands innovative optimization approaches that balance economic efficiency with environmental sustainability. This paper presents a novel carbon-aware route optimization framework that integrates machine...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640958

The geometry of learning under AI delegation

Huang, Lingxiao; Vishnoi, Nisheeth K. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616491

Who's on fire? : household characteristics and the formation of inflation expectations

Reiche, Lovisa; Galati, Gabriele; Moessner, Richhild; … - 2026

We study how consumers form and revise inflation expectations using a unique, highly balanced monthly panel of Dutch households. We develop a Bayesian framework that nests Full-Information Rational Expectations (FIRE) alongside common forecasting heuristics and test it by recovering...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015596487

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Who's on FIRE? : household characteristics and the formation of inflation expectations

Reiche, Lovisa; Galati, Gabriele; Moessner, Richhild; … - 2025

Book / Working Paper

Regional innovation policies in favor of Doing-Using Interacting (DUI) innovations in lagging regions : what about the perceptions of local SMEs?

Friedrich, Christoph; Sternberg, Rolf G. - 2026

The ability and willingness to innovate are recognized as being among the most important conditions for improving the performance of economically lagging regions.Regional innovation policies can help such regions to catch up, which is why the EU Commission, the EU member states and many of their...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015643135

A hierarchical signal-to-policy learning framework for risk-aware portfolio optimization

Yu, Jiayang; Chang, Kuo-Chu - 2026

This study proposes a hierarchical signal-to-policy learning framework for risk-aware portfolio optimization that integrates model-based return forecasting, explainable machine learning, and deep reinforcement learning (DRL) within a unified architecture. In the first stage, next-period returns...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644313

Learning by AI : market intelligence and exporting

Antoniades, Alexis; He, Chuan; Liang, Zheming; Xu, Mingzhi - 2026

Early adoption of artificial intelligence (AI) reshaped how firms responded to market dynamics by enhancing data collection and analysis. Linking China's universe of customs shipments to millions of online job ads, we tracked AI hiring in sales, marketing, and analytics to build a firm-level...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015596606

Underconfidence and the low-experimentation trap

Tyack, Nicholas; Arouna, Aminou; Dembélé, Urbain; … - 2026

We study how confidence bias affects investment in learning via experimentation, a mechanism critical for technology adoption under uncertainty. We hypothesize that bias direction and strength predict how willingness to experiment diverges from unbiased agents. We measure revealed and stated...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015589551

Learning or leaking? : enforcement spillover effects within and beyond the firm

Li, Zhengyan; Lyon, Thomas P. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015656183

Algorithmic learning in local and global public goods games

Herings, Peter Jean-Jacques; Michaelides, Philippos; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015582046

Omnichannel supply chains amid demand shocks : a centralized hierarchical reinforcement learning framework

Giannopoulos, Panagiotis G.; Dasaklis, Thomas K. - 2026

Background: The rapid evolution of omnichannel retailing has reshaped retail supply chains (SCs) by coupling replenishment, fulfillment, and service decisions across multiple demand channels under inventory, lead-time, and capacity constraints. These interdependencies create coordination...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647668

Runtime-sensitive learned operator selection in ALNS : testing improvements to adaptive operator selection while optimizing runtime

Dudel, Christopher - 2026

We propose and test two variations of the Adaptive Large Neighborhood Search (ALNS) meta-heuristic: First, we add time sensitivity to the operator selection scheme to optimize the ALNS for both solution quality and runtime. We reward comparatively slow operators with reduced rewards for finding...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652053

Weaker today, stronger tomorrow : peer learning and firm innovation after the great recession

Traversa, Marina - 2026

Can a recession have a positive, long-term impact on firm innovation? A downturn represents an opportunity for firms to learn from their peers and try to understand the main drivers of resilience. If they deem R&D capital one of them, they may raise innovation in the following years, in order to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604364

The art of not being raided : beliefs, learning, and consumption under immigration enforcement

Ciancio, Alberto; García Jimeno, Camilo - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604812

A hybrid genetic algorithm with learning-to-rank-to-optimization for US equity portfolio construction

Kottas, Ferdinantos - 2026

This study develops and evaluates an equity selection pipeline that converts quarterly fundamentals into a monthly frequency, constructs profitability, leverage, liquidity, and growth characteristics, and learns a linear ranking model via a genetic algorithm (GA). The GA is trained to maximize...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652184

An adaptive learning framework for Alzheimer's disease diagnosis using structural Magnetic Resonance Imaging data analytics

Huang, Yingchao; Su, Yuhan; Wang, Xin; Yao, Shanshan - 2026

Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for managing the disease and selecting therapies to slow its progression. Machine learning (ML) has demonstrated significant potential in improving its diagnostic accuracy with structural Magnetic Resonance Imaging (sMRI) data....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652218

Fighting fake news with peer feedback : theory and experiment

Asako, Yasushi; Kamijo, Yoshio; Kishishita, Daiki; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606137

Energy-aware flexible job shop scheduling problem with nonlinear routes and position-based learning effect

Birgin, Ernesto G.; Riveaux, José Angel; Ronconi, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015482797

Industrial policy in the global semiconductor sector

Goldberg, Pinelopi K.; Juhász, Réka; Lane, Nathan; Lo … - 2026

The resurgence of subsidies and industrial policies has raised concerns about their potential inefficiency and alignment with multilateral principles. Critics warn that such policies may divert resources to less efficient firms and provoke retaliatory measures from other countries, leading to a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606330

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Industrial policy in the global semiconductor sector

Goldberg, Pinelopi K.; Juhász, Réka; Lane, Nathaniel; … - 2024

Book / Working Paper

Inferring latent trading motivations in Borsa Istanbul : a comparative inverse reinforcement learning approach

Karacam, Kubilay; Ulukus, Mehmet Yasin - 2026

We investigate the distinct trading behaviors of domestic and foreign brokerage firms in Borsa Istanbul using 2506 trading days. Applying linear and maximum entropy inverse reinforcement learning, we recover the latent reward functions driving broker decisions and contrast them with supervised...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015668537

Dynamic investment in teamwork skill : theory and experimental evidence

Gill, David; Prowse, Victoria; Reddinger, J. Lucas - 2026 - This version: February 9, 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606350

Do people have economic expectations?

Andre, Peter; Chopra, Felix; Michels, Luca; Wohlfart, … - 2026

Expectations are central to models of economic and financial decision-making. Yet in practice, individuals are often inattentive and, when asked, report fragile, context-dependent expectations that are only weakly linked to decisions. This raises the question to what extent they hold such...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015624815

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Do people have economic expectations?

Andre, Peter; Chopra, Felix; Michels, Luca; Wohlfart, … - 2026

Book / Working Paper

Do people have economic expectations?

Andre, Peter; Chopra, Felix; Michels, Luca; Wohlfart, … - 2026

Book / Working Paper

Do people have economic expectations?

Andre, Peter; Chopra, Felix; Michels, Luca; Wohlfart, … - 2026

Book / Working Paper

Exploring the contribution of action learning to transdisciplinary research

Coghlan, David; Coughlan, Paul; O'Leary, Denise; Rigg, Clare - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015669417

Guidance over adoption : experimental evidence on AI-assisted learning

Gallegos, Sebastian - 2026

This paper estimates the causal effect of a large language model-based study assistant on student behavior and learning outcomes in a natural field setting with real academic stakes. I design and deploy a course-specific AI assistant (GPT-UAI) for undergraduate econometrics and evaluate it...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015625431

AI-driven financial solutions for climate resilience and geopolitical risk mitigation in low- and middle-income countries

Saeed, Abdelrahman Mohamed Mohamed; Ali, Muhammad - 2026

Climate change disproportionately threatens low- and middle-income countries, yet integrated assessments combining socio-economic fragility with physical hazards remain limited. This study quantifies multi-dimensional climate vulnerability and derives optimized adaptation policies for six...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633829

Monetary policy without an anchor

Bocola, Luigi; Dovis, Alessandro; Jørgensen, Kasper; … - 2026

Policymakers often cite the risk that inflation expectations might "de-anchor" as a key reason for responding forcefully to inflationary shocks. We develop a model to analyze this trade-off and to quantify the benefits of stable long-run inflation expectations. In our framework, households and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015627083

Wavelet-enhanced multimodel framework for stock market forecasting : a comprehensive analysis across market regimes

Okşak, Yüksel; Büyükkör, Yasin; Sarıtaş, Tufan - 2026

In this study, we develop a hybrid forecasting framework that integrates discrete wavelet transform with multiple machine and deep learning architectures to address nonlinearity and regime-dependent dynamics in financial markets. Log-return series using daily data from the BIST 100, S&P 500, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015664858

Flexible Learning Pathways into Healthcare Occupations

2026

Persistent skill shortages in healthcare are leaving many care needs unmet. This report examines how flexible training and well-defined career pathways can help adults transition into entry-level healthcare roles. Produced jointly by the OECD and the ILO, it examines practices from high, middle...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015631666

Why are employees most susceptible to automation least likely to retrain? : automation risks and inequalities in learning intention, perceived opportunities, and learning participation among employee groups

Jansen, Giedo; Janssen, Suzanne; Levels, Mark; Fregin, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015675884