heuristics


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heuristics

[hyu̇′ris·tiks]
(psychology)
The study of the mental processes involved in problem solving.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
The difficulty with the heuristics is the presence of the state of the driver (driver state) and the opening times of the routing tasks (time window).
We also warned that they would need to be prepared for compromises and invest a great deal of their own time to meet our deadlines, says Christopher Butcher, Principal and Chief Innovation Officer at Heuristics. As it turned out, there were virtually no compromises and no long hours.
In this section, four non-QoS batch mode heuristics will be explained.
Experts are available to help us surmount both of these challenges, but even without their help, application of these heuristics will improve our science translation outcomes, for example in the realm of climate change science understanding--Ed Maibach (George Mason University), "Increasing public understanding and facilitating behavior change: Two guiding heuristics," presented at the Ninth Conference on Environment and Health, 7-11 January 2018, Austin, Texas.
HE is a method for finding usability problems in a specific user interface design by taking a small set of evaluators to evaluate the interface and judge its compliance with recognized usability principles such as Nielsen's heuristics [46].
In solving this problem, the constructive approach is one that is popular as it incrementally forms a complete solution using construction heuristics [28].
In the first study, we investigated the validity of the existing heuristics for the evaluation of gameplay, concerning older adults.
Rotational transformation [11] and its variations are found to be powerful heuristics for finding Hamiltonian cycle.
We also test a set of well-known variable ordering heuristics and show that they do not necessarily make the right decisions at early stages of the search.
One can then observe that although several studies have concluded that individuals tend to use heuristics in an adaptive way (Payne et al., 1993; Katsikopoulos and Martignon, 2006), that is, to best exploit the features of the environment in which the decision takes place, there is still no consensus on the usefulness of the recognition heuristic in the field of portfolio management.
Since achieving optimality is not an option given the inadequacy of hardware, research on heuristics has become a central tenet of AI.