Fifth special issue on knowledge discovery and business intelligence
Résumé
Artificial Intelligence (AI) is impacting our world. In the 1970s and 1980s, Expert Systems (ES) consisted of AI systems that included explicit knowledge, often represented in a symbolic form (e.g., by using the Prologue language), that was extracted from human experts. Since then, there hasbeen an AI shift, due to three main phenomena (Darwiche, 2018): data explosion, with availability of several big data sources (e.g., social media,sensor data); computational power growth, following the famous Moore's law which states that computer processing capacity doubles every2 years; and rise of sophisticated statistical and optimization techniques, including deep learning. Thus, rather than being expert-driven, ES havebecome more data-driven, with the focus on developing “computerized systems that use AI techniques to solve a specific real- world domainapplication task” (Cortez, Moro, Rita, King, & Hall, 2018).
Domaines
Intelligence artificielle [cs.AI]Origine | Fichiers produits par l'(les) auteur(s) |
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