Learning theory
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This chapter addresses fundamental aspects of learning theory, its ethical implications in model development and deployment, its integration with decision-making processes, and future directions. The introduction highlights learning theory's role in bridging data and informed choices, while ethical considerations underscore the need to address bias, transparency, and societal impact. The interplay between learning theory and decision-making is explored, enabling systems to navigate uncertainty. Looking ahead, the evolution of learning theory is expected to encompass explainable AI, neuroscience influences, ethical considerations, and integration with emerging technologies, promising transformative advancements across various domains. © 2024 Elsevier Inc. All rights reserved.
Açıklama
Anahtar Kelimeler
Artificial İntelligence, Decision-Making, Learning Theory
Kaynak
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Kazem, A. A. P. H. (2024). Learning theory. In Decision-Making Models (pp. 47-50). Academic Press.
