Results 311 to 320 of about 481,157 (359)
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2020
Since the suppositional heuristic is quite abstract, in practice further applications of heuristics may be needed to implement it. One strategy is to partition the relevant space of possibilities into separate, comparatively homogeneous cells, apply the suppositional heuristic to each, and combine the results.
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Since the suppositional heuristic is quite abstract, in practice further applications of heuristics may be needed to implement it. One strategy is to partition the relevant space of possibilities into separate, comparatively homogeneous cells, apply the suppositional heuristic to each, and combine the results.
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ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Neural Information Processing SystemsThe omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design. The long-standing endeavor of design automation has gained new momentum with the rise of large language models ...
Haoran Ye +3 more
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Probabilistic Tools for the Analysis of Randomized Optimization Heuristics
Theory of Evolutionary Computation, 2018This chapter collects several probabilistic tools that have proven to be useful in the analysis of randomized search heuristics. This includes classic material such as the Markov, Chebyshev, and Chernoff inequalities, but also lesser-known topics such as
Benjamin Doerr
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Heuristic and Meta-Heuristic Optimization
2016This chapter deals with the fundamentals of the optimization. The concepts of stochastic optimization and how the stochastic optimization is advantageous over the deterministic approaches are described in Sect. 3.2. Heuristic and meta-heuristic optimization techniques are defined in Sect.
Prajna Kunche, K. V. V. S. Reddy
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What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO
INFORMS journal on computing, 2018Though empirical testing is broadly used to evaluate heuristics, there are shortcomings with how it is often applied in practice.
Iain Dunning, Swati Gupta, J. Silberholz
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2011
This article examines the role of heuristics in driving social action, focusing on the simple heuristics that people use in their everyday lives: the Recognition Heuristic and the Take-the-best Heuristic. It first describes recognition-based inference and knowledge-based inference before discussing how fast-and-frugal heuristics are being employed as ...
Gerd Gigerenzer +2 more
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This article examines the role of heuristics in driving social action, focusing on the simple heuristics that people use in their everyday lives: the Recognition Heuristic and the Take-the-best Heuristic. It first describes recognition-based inference and knowledge-based inference before discussing how fast-and-frugal heuristics are being employed as ...
Gerd Gigerenzer +2 more
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Identifying Essential Epistemic Heuristics for Guiding Mechanistic Reasoning in Science Learning
The Journal of the Learning Sciences, 2018Mechanistic reasoning, or reasoning systematically through underlying factors and relationships that give rise to phenomena, is a powerful thinking strategy that allows one to explain and make predictions about phenomena.
Christina Krist, C. Schwarz, B. Reiser
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2014
This chapter focuses on the importance of heuristics in theorizing. The most common interpretation of the word heuristics is that it means “discovery.” When one theorizes, it has been argued, one should not only use the individual steps to move forward but also to try to discover something new about the phenomenon one studies.
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This chapter focuses on the importance of heuristics in theorizing. The most common interpretation of the word heuristics is that it means “discovery.” When one theorizes, it has been argued, one should not only use the individual steps to move forward but also to try to discover something new about the phenomenon one studies.
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Judgment under Uncertainty: Heuristics and Biases
Science, 1974A. Tversky, Daniel Kahneman
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