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A brief history of heuristics: how did research on heuristics evolve?
Humanities & Social Sciences Communications, 2023 Heuristics are often characterized as rules of thumb that can be used to speed up the process of decision-making. They have been examined across a wide range of fields, including economics, psychology, and computer science.
Mohamad Hjeij, Arnis Vilks
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Utilitarianism and Heuristics [PDF]
The Journal of Value Inquiry, 2020 The paper develops an alternative to Expected UtilityAnalyses which are often too complex to use in Utilitarianism.
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Contraction Heuristics for Tensor Decision Diagrams. [PDF]
Entropy (Basel)In this paper, we study the equivalence problem for quantum circuits: Given two quantum circuits, are they equivalent? We reduce this problem to the contraction problem of a tensor network.
Larsen CB +3 more
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Applied Sciences, 2021 As exact algorithms are unfeasible to solve real optimization problems, due to their computational complexity, meta-heuristics are usually used to solve them.
Vinicius Renan de Carvalho +2 more
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Moral imagination or heuristic toolbox? Events and the risk assessment of structured financial products in the financial bubble [PDF]
, 2011 The paper uses the example of the failure of bankers and financial managers to understand the risks of dealing in structured financial products, prior to the financial collapse, to investigate how people respond to crises.
Fisher, C, Malde, S
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Heuristic Revision by Heuristic Space Exploration [PDF]
2009 International Conference on Knowledge and Systems Engineering, 2009 Heuristics are often used to solve complex problems. Indeed, such problem-specific knowledge, when pertinent, helps to efficiency find good solutions to complex problems. Unfortunately, acquiring and maintaining a heuristic set can be fastidious. In order to face this problem, a approach consists in revising the heuristic sets by means of experiments ...
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Heuristics for Network Coding in Wireless Networks [PDF]
, 2007 Multicast is a central challenge for emerging multi-hop wireless architectures such as wireless mesh networks, because of its substantial cost in terms of bandwidth. In this report, we study one specific case of multicast: broadcasting, sending data from
Adjih, Cédric +2 more
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On Using Admissible Bounds for Learning Forward Search Heuristics [PDF]
Carlos N\'u\~nez Molina, Masataro Asai, Pablo Mesejo, & Juan
Fern\'andez-Olivares. (2024). On using admissible bounds for learning forward
search heuristics. In IJCAI, pages 6761-6769, 2023 In recent years, there has been growing interest in utilizing modern machine learning techniques to learn heuristic functions for forward search algorithms. Despite this, there has been little theoretical understanding of what they should learn, how to train them, and why we do so.
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ANZ Journal of Surgery, 2008 Heuristics are rules of thumb. Rarely described in surgical or other publications, they are an essential part of safe and expert performance. This study translates such implicit or procedural knowledge into explicit or declarative knowledge, with a view to improving both training and retraining of surgeons in the steps of dissection. Tools used include
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Khazanah Informatika, 2019 State-of-the-art dari metode yang digunakan untuk menyelesaikan permasalahan optimasi kombinatorik, yang diketahui sebagai permasalahan NP-hard, adalah meta-heuristics.
Arif Djunaidy +2 more
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