Results 151 to 160 of about 68,456 (257)
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Duo Xu, Faramarz Fekri
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Justice Under the Sun: Evaluating Procedural Justice in Large‐Scale Solar Park Development
ABSTRACT The development of large‐scale solar sites (LSS) is expanding to address climate change and profitability challenges in renewable energy. This article evaluates whether such projects can meet procedural justice standards under optimal conditions, examining a case study in southern Sweden. Despite strong institutional frameworks, well‐resourced
Karl de Fine Licht, Maria Håkansson
wiley +1 more source
Special issue on inductive logic programming [PDF]
Katsumi Inoue+2 more
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Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo+2 more
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Abstract Research Summary Sustainable new ventures seeking to tackle grand challenges such as climate change or biodiversity loss through new business models face the difficult task of reconciling social and ecological goals with profit. To provide a better understanding of how founders balance such tensions and develop viable business models, this ...
Eduard Esau+4 more
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Logic programs as specifications in the inductive verification of logic programs
Marco Comini, Roberta Gori, Giorgio Levi
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Best-effort inductive logic programming via fine-grained cost-based hypothesis generation [PDF]
Peter Schüller, Mishal Benz
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Parallel Constraint-Driven Inductive Logic Programming
Andrew Cropper+3 more
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Incumbent response to business model innovation: The role of CEO opportunity framing
Abstract Research Summary We explore how CEO sensegiving through framing influences incumbent firm response to business model innovation. Our historical analysis of Borders and Barnes & Noble (B&N) in the US bookselling industry after the entry of Amazon.com reveals that although both CEOs framed Amazon's entry as an opportunity, they did so in ...
Yuliya Snihur+2 more
wiley +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source