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Application of artificial intelligence for monetary policy-making

Dundua, Mariam; Gorgodze, Otar - 2022

Persistent link: https://www.econbiz.de/10013460253

A multi-agent deep reinforcement learning approach for solving the multi-depot vehicle routing problem

Arishi, Ali; Krishnan, Krishna K. - In: Journal of management analytics 10 (2023) 3, pp. 493-515

Persistent link: https://www.econbiz.de/10014330649

Deep learning for information systems research

Samtani, Sagar; Zhu, Hongyi; Padmanabhan, Balaji; Chai, … - In: Journal of management information systems : JMIS 40 (2023) 1, pp. 271-301

Persistent link: https://www.econbiz.de/10014302536

Training with AI : evidence from chess computers

Gäßler, Fabian; Piezunka, Henning - In: Strategic management journal 44 (2023) 11, pp. 2724-2750

Persistent link: https://www.econbiz.de/10014434795

A systematic review of Explainable Artificial Intelligence models and applications : recent developments and future trends

Saranya, A.; Subhashini, R. - In: Decision analytics journal 7 (2023), pp. 1-14

) that can provide explanations for their decision or predictions to human users. XAI aims to increase the transparency …

Persistent link: https://www.econbiz.de/10014436688

Getting along with frenemies : enhancing multi-competitor coopetition governance through artificial intelligence and blockchain

Woolley, Jennifer L. - In: Industry and innovation 30 (2023) 9, pp. 1156-1189

Persistent link: https://www.econbiz.de/10014390636

Algorithmic collusion, genuine and spurious

Calvano, Emilio; Calzolari, Giacomo; Denicolò, Vincenzo; … - 2021

Persistent link: https://www.econbiz.de/10012593011

Reinforcement learning for freight booking control problems

Dumouchelle, Justin; Frejinger, Emma; Lodi, Andrea - In: Journal of revenue and pricing management 23 (2024) 4, pp. 318-345

Persistent link: https://www.econbiz.de/10015048904

Performance of deep reinforcement learning algorithms in two-echelon inventory control systems

Stranieri, Francesco; Stella, Fabio; Kouki, Chaaben - In: International journal of production research 62 (2024) 17, pp. 6211-6226

Persistent link: https://www.econbiz.de/10015053775

Risks of observable and unobservable biases in artificial intelligence predicting consumer choice

Teleaba, Florian; Popescu, Sorin; Olaru, Marieta; … - In: Amfiteatru economic : an economic and business research … 23 (2021) 56, pp. 102-119

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

Persistent link: https://www.econbiz.de/10012821258