Academic literature on the topic 'Heuristic processes'

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Journal articles on the topic "Heuristic processes"

1

Özcan, Ender, Mustafa Misir, Gabriela Ochoa, and Edmund K. Burke. "A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling." International Journal of Applied Metaheuristic Computing 1, no. 1 (2010): 39–59. http://dx.doi.org/10.4018/jamc.2010102603.

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Hyper-heuristics can be identified as methodologies that search the space generated by a finite set of low level heuristics for solving search problems. An iterative hyper-heuristic framework can be thought of as requiring a single candidate solution and multiple perturbation low level heuristics. An initially generated complete solution goes through two successive processes (heuristic selection and move acceptance) until a set of termination criteria is satisfied. A motivating goal of hyper-heuristic research is to create automated techniques that are applicable to a wide range of problems with different characteristics. Some previous studies show that different combinations of heuristic selection and move acceptance as hyper-heuristic components might yield different performances. This study investigates whether learning heuristic selection can improve the performance of a great deluge based hyper-heuristic using an examination timetabling problem as a case study.
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Cao, Qianning. "The Availability Heuristic." Communications in Humanities Research 27, no. 1 (2024): 271–74. http://dx.doi.org/10.54254/2753-7064/27/20231715.

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Few fields of psychology have undergone such dramatic conceptual changes over the past dozen years as the emerging science of heuristics. Heuristics are effective cognitive processes that consciously or unconsciously ignore part of information. Good heuristics can greatly reduce the time it takes to solve a problem by avoiding some unlikely possibilities, and although heuristic processes tend to find solutions or outcomes that are often valid or correct, they may only be correct, provable, optimal, or accurate sometimes. However, decision making based on heuristics is often sufficient to solve small-scale problems and provide solutions in uncertain situations where complete information is not available. Heuristics rely on shortcuts to provide immediate, efficient and short-term solutions to facilitate timely decision making. People need to understand how cognitive heuristics work in an uncertain world, combined with practical applications or theory, to help analyze the performance and use areas of heuristics, so that they can continue to evolve and improve.
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Cavarretta, Fabrice L. "On the hard problem of selecting bundles of rules: a conceptual exploration of heuristic emergence processes." Management Decision 59, no. 7 (2021): 1598–616. http://dx.doi.org/10.1108/md-09-2019-1322.

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PurposeSo far, the simplicity of heuristics has been mostly studied at the rule level. However, actors' bounded rationality implies that small bundles of rules drive behavior. This study thus conducts a conceptual elaboration around such bundling. This leads to reflections on the various processes of heuristic emergence and to qualifications of the respective characteristics of basic heuristic classes.Design/methodology/approachDetermining which rules – out of many possible ones – to select in one's small bundle constitutes a difficult combinatorial problem. Fortunately, past research has demonstrated that solutions can be found in evolutionary mechanisms. Those converge toward bundles that are somewhat imperfect yet cannot be easily improved, a.k.a., locally optimal bundles. This paper therefore identifies that heuristic bundles can efficiently emerge by social evolutionary mechanisms whereby actors recursively exchange, adopt and perform bundles of rules constitute processes of heuristic emergence.FindingsSuch evolutionary emergence of socially calculated small bundles of heuristics differs from the agentic process by which some simple rule heuristics emerge or from the biological calculation process by which some behavioral biology heuristics emerge. The paper subsequently proceeds by classifying heuristics depending on their emergence process, distinguishing, on the one hand, agentic vs evolutionary mechanisms and, on the other hand, social vs biological encodings. The differences in the emergence processes of heuristics suggest the possibility of comparing them on three key characteristics – timescale, reflectivity and local optimality – which imply different forms of fitness.Research limitations/implicationsThe study proceeds as a conceptual elaboration; hence, it does not provide empirics. At a microlevel, it enables classification and comparison of the largest possible range of heuristics. At a macrolevel, it advocates for further exploration of managerial bundles of rules, regarding both their dynamics and their substantive nature.Practical implicationsIn the field, practitioners are often observed to socially construct their theory of action, which emerges as a bundle of heuristics. This study demonstrates that such social calculations provide solutions that have comparatively good qualities as compared to heuristics emerging through other processes, such as agentic simple rules or instinctive – i.e. behavioral biology – heuristics. It should motivate further research on bundles of heuristics in management practice. Such an effort would improve the ability to produce knowledge fitting the absorptive capacity of practitioners and enhance the construction of normative managerial theories and pedagogy.Social implicationsBundles of rules may also play a crucial role in the emergence of collective action. This study contributes to a performativity perspective whereby theories can become reality. It demonstrates how the construction of a managerial belief system may amount to the launching of a social movement and vice versa.Originality/valueOverall, many benefits accrue from integrating the bundles of rules expressed and exchanged by practitioners under the heuristic umbrella. So far, in management scholarship, such emergent objects have sometimes been interpreted as naïve or as indicative of institutional pressures. By contrast, this study shows that socially calculated bundles may efficiently combine the advantages of individuals' reflective cognitive processes with those provided by massive evolutionary exchanges. In conclusion, the social calculations of small heuristic bundles may constitute a crucial mechanism for the elaboration of pragmatic theories of action.
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Gragson, Ted L. "Heuristic Mapping of Frontier Processes." Field Methods 14, no. 4 (2002): 368–89. http://dx.doi.org/10.1177/152582202237726.

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5

Grodzinsky, Yosef, and Alexander Marek. "Algorithmic and heuristic processes revisited." Brain and Language 33, no. 2 (1988): 216–25. http://dx.doi.org/10.1016/0093-934x(88)90065-x.

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6

Du, Ruibo. "Availability Heuristic: An Overview and Applications." Highlights in Business, Economics and Management 1 (November 28, 2022): 153–59. http://dx.doi.org/10.54097/hbem.v1i.2548.

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Heuristics exist in all individuals, causing irrational and often false conclusions on the frequency and probability of events. With the recognition of behavioral finance theories, this essay includes an overview, applications, and analysis of a particular heuristic, the availability heuristic. It focuses on the potential misjudgment that may result from the availability heuristic, in order to provide an alternative perspective for economic and social issues. This essay may build a better understanding of the availability heuristic for market participants and policymakers; reducing the degree and frequency of misjudgment and human errors in influential decision-making processes.
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Wimsatt, William C. "Heuristics refound." Behavioral and Brain Sciences 23, no. 5 (2000): 766–67. http://dx.doi.org/10.1017/s0140525x00513442.

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Gigerenzer et al.'s is an extremely important book. The ecological validity of the key heuristics is strengthened by their relation to ubiquitous Poisson processes. The recognition heuristic is also used in conspecific cueing processes in ecology. Three additional classes of problem-solving heuristics are proposed for further study: families based on near-decomposability analysis, exaptive construction of functional structures, and robustness.
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Weis, Patrick P., and Eva Wiese. "Speed Considerations Can Be of Little Concern When Outsourcing Thought to External Devices." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 14–18. http://dx.doi.org/10.1177/1541931218621004.

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Most research on human cognition has focused on processes “inside the box”. Recently, researchers questioned this monopoly, promoting the relevance of cognitive processing “outside the box”, for instance, when using a GPS to navigate. For processing that is distributed between internal and external resources to work efficiently, humans need good heuristics that help them decide when to use which resource. A novel human-computer-interaction paradigm was employed to explore whether people follow the “minimal memory” heuristic and offload cognitive processing onto external resources whenever possible or the “soft constraint” heuristic and offload cognitive processing only if it is associated with an overall higher speed than internal processing. Participants, despite lower speed, nearly exclusively cognized outside the box, which contradicts the soft constraint heuristic and mostly supports the minimal memory heuristic. Implications for human-technology interaction as well as alternative heuristics relevant for cognitive offloading are discussed.
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Jasper, Fabian, and Tuulia M. Ortner. "The Tendency to Fall for Distracting Information While Making Judgments." European Journal of Psychological Assessment 30, no. 3 (2014): 193–207. http://dx.doi.org/10.1027/1015-5759/a000214.

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Despite much research on thinking biases such as the representativeness, availability, and anchoring heuristics, a psychometrically sound measurement instrument for assessing the degree of heuristic thinking is still missing. Therefore, it was the goal of this study to develop and validate a new test to assess the degree of heuristic thinking associated with three particular thinking heuristics (i.e., the representativeness, availability, and anchoring heuristics). The resulting Objective Heuristic Thinking Test (OHTT) was evaluated with regard to its internal consistency, factor structure, construct validity, and stability in an internet sample (N = 300) and an independent laboratory sample (N = 55). Exploratory factor analyses resulted in three latent factors that represented the three OHTT subscales (i.e., representativeness, availability, and anchoring factors). Results revealed a low to sufficient internal consistency for each of the three scales. Further analyses indicated convergent correlations of the OHTT scales with related constructs such as field-independency. Furthermore, good stability of the test scores was shown. Conclusions are drawn regarding possible future applications of the OHTT as a promising tool for studying the origins of heuristic thinking processes.
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Karakoyun, Gülen Önal, and Erol Asiltürk. "Analysis of Pre-Service Science Teachers’ Heuristic Reasoning Processes about Hydrogen Bonding." Journal of Science Learning 4, no. 1 (2020): 50–60. http://dx.doi.org/10.17509/jsl.v4i1.23737.

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The purpose of this research was to determine the heuristics used by pre-service science teachers in understanding the details of hydrogen bonding. The reasoning processes demonstrated were evaluated based on ten heuristic models suggested by Talanquer (2014). Phenomenographic assessment of the 30 participants indicated that all ten heuristics were utilized to make interpretations about hydrogen bonding. It was found that most students used short-cut strategies rather than efficient analytical reasoning processes. A total of 12 answer patterns were determined based on the answers of the participants. The percentage of students who gave the correct answer was low. The frequency sequencing of participants' heuristics demonstrated in this study was fluency, associative activation, recognition, one-reason decision making, attribute substitution, overconfidence, surface similarity, generalization, rigidity, and affect.
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