[KİTAP][B] Noise: A flaw in human judgment

D Kahneman, O Sibony, CR Sunstein - 2021 - books.google.com
NEW YORK TIMES BESTSELLER From the Nobel Prize-winning author of Thinking, Fast
and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad …

Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences

A Almaatouq, TL Griffiths, JW Suchow… - Behavioral and Brain …, 2024 - cambridge.org
The dominant paradigm of experiments in the social and behavioral sciences views an
experiment as a test of a theory, where the theory is assumed to generalize beyond the …

Putting psychology to the test: Rethinking model evaluation through benchmarking and prediction

R Rocca, T Yarkoni - Advances in Methods and Practices in …, 2021 - journals.sagepub.com
Consensus on standards for evaluating models and theories is an integral part of every
science. Nonetheless, in psychology, relatively little focus has been placed on defining …

A framework for modeling human behavior in large-scale agent-based epidemic simulations

J de Mooij, P Bhattacharya, D Dell'Anna… - …, 2023 - journals.sagepub.com
Agent-based modeling is increasingly being used in computational epidemiology to
characterize important behavioral dimensions, such as the heterogeneity of the individual …

How good is good enough? quantifying the impact of benefits, accuracy, and privacy on willingness to adopt covid-19 decision aids

G Kaptchuk, DG Goldstein, E Hargittai… - … Threats: Research and …, 2022 - dl.acm.org
An increasing number of data-driven decision aids are being developed to provide humans
with advice to improve decision-making around important issues such as personal health …

Model evaluation in human factors and ergonomics (HFE) sciences; case of trust in automation

M Poornikoo, KI Øvergård - Theoretical Issues in Ergonomics …, 2024 - Taylor & Francis
Theories and models are central to Human Factors/Ergonomics (HFE) sciences for
producing new knowledge, pushing the boundaries of the field, and providing a basis for …

Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer)

E Sivak, P Pankowska, A Mendrik, T Emery… - … of Computational Social …, 2024 - Springer
The social sciences have produced an impressive body of research on determinants of
fertility outcomes, or whether and when people have children. However, the strength of …

Predictive fit metrics for item response models

BA Stenhaug, BW Domingue - Applied Psychological …, 2022 - journals.sagepub.com
The fit of an item response model is typically conceptualized as whether a given model
could have generated the data. In this study, for an alternative view of fit,“predictive fit,” …

Machine learning for modeling human decisions.

D Reichman, JC Peterson, TL Griffiths - Decision, 2024 - psycnet.apa.org
The rapid development of machine learning has led to new opportunities for applying these
methods to the study of human decision making. We highlight some of these opportunities …

Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery …

S Volkova, D Arendt, E Saldanha, M Glenski… - Computational and …, 2023 - Springer
Ground Truth program was designed to evaluate social science modeling approaches using
simulation test beds with ground truth intentionally and systematically embedded to …