scholarly journals Switching costs in stochastic environments drive the emergence of matching behaviour in animal decision-making through the promotion of reward learning strategies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nan Lyu ◽  
Yunbiao Hu ◽  
Jiahua Zhang ◽  
Huw Lloyd ◽  
Yue-Hua Sun ◽  
...  

AbstractA principle of choice in animal decision-making named probability matching (PM) has long been detected in animals, and can arise from different decision-making strategies. Little is known about how environmental stochasticity may influence the switching time of these different decision-making strategies. Here we address this problem using a combination of behavioral and theoretical approaches, and show, that although a simple Win-Stay-Loss-Shift (WSLS) strategy can generate PM in binary-choice tasks theoretically, budgerigars (Melopsittacus undulates) actually apply a range of sub-tactics more often when they are expected to make more accurate decisions. Surprisingly, budgerigars did not get more rewards than would be predicted when adopting a WSLS strategy, and their decisions also exhibited PM. Instead, budgerigars followed a learning strategy based on reward history, which potentially benefits individuals indirectly from paying lower switching costs. Furthermore, our data suggest that more stochastic environments may promote reward learning through significantly less switching. We suggest that switching costs driven by the stochasticity of an environmental niche can potentially represent an important selection pressure associated with decision-making that may play a key role in driving the evolution of complex cognition in animals.

2018 ◽  
Author(s):  
Shiva Farashahi ◽  
Katherine Rowe ◽  
Zohra Aslami ◽  
M Ida Gobbini ◽  
Alireza Soltani

AbstractMeasurements of response time (RT) have long been used to infer neural processes underlying various cognitive functions such as working memory, attention, and decision making. However, it is currently unknown if RT is also informative about various stages of value-based choice, particularly how reward values are constructed. To investigate these questions, we analyzed the pattern of RT during a set of multi-dimensional learning and decision-making tasks that can prompt subjects to adopt different learning strategies. In our experiments, subjects could use reward feedback to directly learn reward values associated with possible choice options (object-based learning). Alternatively, they could learn reward values of options’ features (e.g. color, shape) and combine these values to estimate reward values for individual options (feature-based learning). We found that RT was slower when the difference between subjects’ estimates of reward probabilities for the two alternative objects on a given trial was smaller. Moreover, RT was overall faster when the preceding trial was rewarded or when the previously selected object was present. These effects, however, were mediated by an interaction between these factors such that subjects were faster when the previously selected object was present rather than absent but only after unrewarded trials. Finally, RT reflected the learning strategy (i.e. object-based or feature-based approach) adopted by the subject on a trial-by-trial basis, indicating an overall faster construction of reward value and/or value comparison during object-based learning. Altogether, these results demonstrate that the pattern of RT can be informative about how reward values are learned and constructed during complex value-based learning and decision making.


2015 ◽  
Vol 112 (9) ◽  
pp. 2912-2917 ◽  
Author(s):  
Pieter van den Berg ◽  
Lucas Molleman ◽  
Franz J. Weissing

It has often been argued that the spectacular cognitive capacities of humans are the result of selection for the ability to gather, process, and use information about other people. Recent studies show that humans strongly and consistently differ in what type of social information they are interested in. Although some individuals mainly attend to what the majority is doing (frequency-based learning), others focus on the success that their peers achieve with their behavior (success-based learning). Here, we show that such differences in social learning have important consequences for the outcome of social interactions. We report on a decision-making experiment in which individuals were first classified as frequency- and success-based learners and subsequently grouped according to their learning strategy. When confronted with a social dilemma situation, groups of frequency-based learners cooperated considerably more than groups of success-based learners. A detailed analysis of the decision-making process reveals that these differences in cooperation are a direct result of the differences in information use. Our results show that individual differences in social learning strategies are crucial for understanding social behavior.


2018 ◽  
Author(s):  
Kurnia Putri Yuliandari

Emergency nurses often find themselves doing triage under time pressure and with only limited information, while the accuracy and rapidity of triage assessment may well determine a patient’s safety. A question may emerge as to whether novice nurses, who may have lack of experience and knowledge, could deal with such a demanding practice. Equipping novice nurses with important aspects in triage decision-making processes is pivotal. The aim of this literature review is to identify potential elements that could be utilised as supports for novice nurses in developing their expertise of making decision in triage. This study employed CINAHL, ScienceDirect, and PsycINFO to find relevant articles, using search terms “triage”, “decision-making”, “clinical decision-making”, combined with “expert”, and “novice”. The publication dates of those articles ranged from 1990 to 2015. 1487 articles was found and sorted based on inclusion and exclusion criteria, resulting in seventeen articles that had been used in this study. Literature review suggests four important elements for developing novices’ expertise in triage decision making: understanding the difference of novices’ and experts’ performance, critical analysis on theoretical approaches of clinical decision-making processes, defining factors that may influence nurses’ triage decision making, understanding errors that might be made by novices, and using appropriate learning strategies.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Kate Nussenbaum ◽  
Maximilian Scheuplein ◽  
Camille V. Phaneuf ◽  
Michael D. Evans ◽  
Catherine A. Hartley

For years, adult psychological research has benefitted from web-based data collection. There is growing interest in harnessing this approach to facilitate data collection from children and adolescents to address foundational questions about cognitive development. To date, however, few studies have directly tested whether findings from in-lab developmental psychology tasks can be replicated online, particularly in the domain of value-based learning and decision-making. To address this question, we set up a pipeline for online data collection with children, adolescents, and adults, and conducted a replication of Decker et al. (2016). The original in-lab study employed a sequential decision-making paradigm to examine shifts in value-learning strategies from childhood to adulthood. Here, we used the same paradigm in a sample of 151 children (N = 50; ages 8 - 12 years), adolescents (N = 50; ages 13 - 17 years), and adults (N = 51; ages 18 - 25 years) and replicated the main finding that the use of a “model-based” learning strategy increases with age. In addition, we adapted a new index of abstract reasoning (MaRs-IB; Chierchia et al. 2019) for use online, and replicated a key result from Potter et al. (2017), which found that abstract reasoning ability mediated the relation between age and model-based learning. Our re-analyses of two previous in-lab datasets alongside our analysis of our online dataset revealed few qualitative differences across task administrations. These findings suggest that with appropriate precautions, researchers can effectively examine developmental differences in learning computations through unmoderated, online experiments.


2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Timbul Purba ◽  
Harun Sitompul

Abstrak: Penelitian ini bertujuan: (1) hasil belajar menggambar teknik siswa yang diajar dengan strategi pembelajaran elaborasi lebih tinggi dibandingkan dengan siswa yang diajar dengan strategi pembelajaran ekspositori, (2) hasil belajar menggambar teknik siswa yang memiliki motif berprestasi tinggi lebih tinggi dibandingkan dengan siswa yang memiliki motif berprestasi rendah dan (3) interaksi antara strategi pembelajaran dengan motif berprestasi dalam mempengaruhi hasil belajar menggambar teknik siswa. Metode penelitian menggunakan metode quasi eksperimen dengan desain penelitian faktorial 2x2, sedangkan teknik analisis data menggunakan ANAVA dua jalur pada taraf signifikansi a = 0.05. Hasil penelitian diperoleh: (1) hasil belajar menggambar teknik siswa yang diajar dengan strategi pembelajaran elaborasi lebih tinggi dibandingkan dengan hasil belajar siswa yang diajar dengan strategi pembelajaran ekspositori, (2) hasil belajar menggambar teknik siswa yang memiliki motif berprestasi tinggi lebih tinggi dibandingkan dengan hasil belajar siswa yang memiliki motif berprestasi rendah dan (3) terdapat interaksi antara strategi pembelajaran dengan motif berprestasi dalam mempengaruhi hasil belajar menggambar teknik siswa.   Kata Kunci: strategi pembelajaran elaborasi dan ekspositori, motif berprestasi, hasil belajar menggambar teknik   Abstract: This research was aimed to: (1) the learning outcomes of students who are taught drawing techniques with learning strategy elaboration higher than students taught by expository learning strategy, (2) drawing techniques learning outcomes of students who have high achievement motive higher than students who have low achievement motive, and (3) the interaction between learning strategy and achievement motives in affecting student learning outcomes drawing techniques. The research method used was quasi experiment with 2 x 2 factorial design. The analysis technique used is the two-track analysis of variance ANOVA (2 x 2) with a significance level α = 0.05. The findings of the study indicate: (1) the learning outcomes of students who are taught drawing techniques with learning strategy elaboration higher learning outcomes than students taught by expository learning strategy; (2) drawing techniques learning outcomes of students who have high achievement motive higher than the learning outcomes of students who have low achievement motive; and (3) there is interaction between learning strategy and achievement motives in affecting student learning outcomes drawing techniques. Keywords: elaboration learning strategies and expository, achievement motive, the result of learning drawing techniques


2017 ◽  
Vol 10 (2) ◽  
pp. 151
Author(s):  
Harningsih Fitri Situmorang

Abstrak: Penelitian ini bertujuan :(1) Untuk mengetahui hasil belajar ekonomi siswa yang diajar dengan strategi pembelajaran berbasis masalah lebih tinggi dari siswa yang diajar dengan strategi pembelajaran ekspositori. (2) Untuk mengetahui hasil belajar  ekonomi siswa yang memiliki tipe kepribadian ekstrovert dan siswa yang memiliki kepribadian introvert. (3) Untuk mengetahui interaksi antara strategi pembelajaran dengan tipe kepribadian  terhadap hasil belajar Ekonomi. Metode penelitian yang digunakan adalah kuasi eksperimen dengan desain faktorial 2 x 2. Uji statistik yang digunakan adalah statistik deskriptif untuk menyajikan data dan dilanjutkan dengan statistik inferensial dengan menggunakan ANAVA dua jalur dengan taraf signifikan α = 0,05 yang dilanjutkan dengan uji Scheffe. Hasil penelitian menunjukkan: (1) hasil belajar ekonomi siswa yang diajarkan dengan strategi pembelajaran berbasis masalah lebih tinggi dari pada hasil belajar ekonomi siswa yang diajarkan dengan strategi pembelajaran ekspositori; (2) hasil belajar ekonomi siswa yang memiliki kepribadian ekstrovert lebih tinggi dari pada hasil belajar ekonomi siswa yang memiliki tipe kepribadian introvert; (3) terdapat interaksi antara strategi pembelajaran dengan tipe kepribadian  dalam mempengaruhi hasil belajar siswa. Hipotesis ini menunjukkan bahwa strategi pembelajaran berbasis masalah lebih tepat daripada model pembelajaran ekspositori dalam meningkatkan hasil belajar ekonomi siswa, dan siswa yang memiliki tipe kepribadian ekstrovert akan memperoleh hasil yang lebih baik dari pada siswa yang memiliki tipe kepribadian introvert. Kata Kunci: strategi pembelajaran, tipe kepribadian, hasil belajar ekonomi. Abstract: This study aims: (1) To find out the results of students' economic learning taught by problem-based learning strategy is higher than students who are taught by expository learning strategy. (2) To know the economic learning result of students who have extrovert personality type and students who have introverted personality. (3) To know the interaction between learning strategy with personality type to Economic learning result. The research method used is quasi experiment with 2 x 2 factorial design. Statistical test used is descriptive statistics to present the data and continued with inferential statistic by using two way ANOVA with significant level α = 0,05 followed by Scheffe test. The results showed: (1) the students 'economic learning outcomes taught with problem-based learning strategy is higher than the students' economic learning outcomes taught with expository learning strategies; (2) the students 'economic learning outcomes that have extroverted personality is higher than the students' economic learning outcomes that have introverted personality types; (3) there is interaction between learning strategy with personality type in influencing student learning outcomes. This hypothesis suggests that problem-based learning strategies are more appropriate than expository learning models in improving students' economic learning outcomes, and students with extroverted personality types will achieve better outcomes than students with introverted personality types. Keywords: learning strategy, personality type, economic learning result


Author(s):  
Erna Pebriana ◽  
Bela Mustika Sari ◽  
Yasa Abdurrahman

This writing aims to make students more active and disciplined in the learning process and can also increase creativity and learning outcomes. The low mathematics learning outcomes are not only due to difficult mathematics, but are caused by several factors which include students themselves, teachers, learning approaches, and learning environments that are interconnected with each other. To improve the ability and results of learning it is necessary to make modifications to the task learning strategy and force. Quantum learning is a tip, a guide, a strategy and an entire learning process that can sharpen understanding and memory, and make learning a pleasant and useful process. Task and Forced Learning Strategies are strategies that focus on giving assignments and a little coercion so that students complete their tasks on time so that the learning process can run effectively. Therefore, the writer modifies the model of quantum learning with task and forced learning strategies, the results of this modification show that learning with quantum learning models with forced and task strategies can improve the learning process so that students become more disciplined in doing tasks, can motivate student learning, and can improve student learning outcomes.


Akademika ◽  
2019 ◽  
Vol 8 (01) ◽  
pp. 81-100
Author(s):  
Eva Kristiyani ◽  
Iffah Budiningsih

The aim of this research is to know the influence of e-learning learning strategy and interest in learning to accounting learning result. This research was conducted at SMK Permata Bangsa Kelurahan Jakasetia, South Bekasi Subdistrict, Bekasi City involving 56 samples taken with random sampling technique to the equivalent class. Instrument used in this research is the accounting test and questionnaire interest in student learning; and the data analysis using two-way ANAVA and Tukey Test. The results of this study obtained: (1) there is a significant difference between the learning outcomes of students who are taught with e-learning learning strategies and expository strategies in which the results of student accounting learning taught by e-learning strategy is higher than the students taught by strategy expository learning. (2) There is an interaction between students who are taught using learning strategies with interest in learning on accounting learning outcomes. (3) This means that the result of group accounting learning which is taught using e-learning learning strategy is significantly higher than that taught using expository learning strategy in students who have high learning interest. (4) While the learning result of student group accounting that is taught using e-learning strategy is same as learning result which is taught using expository learning strategy to students who have low learning interest, influenced by student environment factor and learning design factor in research.


2020 ◽  
Vol 3 (1) ◽  
pp. 67-83
Author(s):  
Ahmad Abdul Rochim ◽  
Siti Bandiah

The accuracy in choosing a learning strategy is a very important part in efforts to improve the achievement of student learning outcomes. Therefore this study aims to determine the effect of learning strategies on mathematics learning outcomes. This study uses a 2x2 factorial design research. Through this design the effects of Interactive learning strategies and problem-based learning will be compared to student mathematics learning outcomes. The population in this study were all students of grade IV SDN 09 Kaba Wetan, totaling 76 students, consisting of 2 classes. To determine the sample class, a random sampling technique is used. The sample classes used were 2 classes totaling 76 students, class IV-A as an Interactive class and class IV-B as a problem-based class. The data analysis technique used is descriptive and inferential statistical techniques. And testing the analysis requirements is the normality test using the Lilifors Test, while the homogeneity requirements are using the F Test and Barlett Test. After testing the analysis requirements, the two-way variance analysis of Analilsis is performed. The results of this study indicate that there is an interaction effect between learning strategies on student mathematics learning outcomes. So that the selection of appropriate learning strategies is influenced by the ability of teachers to understand the characteristics of their students. In the learning strategy applied by the teacher can optimize student mathematics learning outcomes by choosing class strategies namely Interactive learning and problem based learning classes.


Author(s):  
Alexis E. Whitton ◽  
Michael T. Treadway ◽  
Manon L. Ironside ◽  
Diego A. Pizzagalli

This chapter provides a critical review of recent behavioral and neuroimaging evidence of reward processing abnormalities in mood disorders. The primary focus is on the neural mechanisms underlying disruption in approach motivation, reward learning, and reward-based decision-making in major depression and bipolar disorder. Efforts focused on understanding how reward-related impairments contribute to psychiatric symptomatology have grown substantially in recent years. This has been driven by significant advances in the understanding of the neurobiology of reward processing and a growing recognition that disturbances in motivation and hedonic capacity are poorly targeted by current pharmacological and psychotherapeutic interventions. As a result, numerous studies have sought to test the presence of reward circuit dysfunction in psychiatric disorders that are marked by anhedonia, amotivation, mania, and impulsivity. Moreover, as the field has increasingly eschewed categorical diagnostic boundaries in favor of symptom dimensions, there has been a parallel rise in studies seeking to identify transdiagnostic neural markers of reward processing dysfunction that may transcend disorders. The thesis of this chapter is twofold: First, evidence indicates that specific subcomponents of reward processing map onto partially distinct neurobiological pathways. Second, specific subcomponents of reward processing, including reward learning and effort-based decision-making, are impaired across different mood disorder diagnoses and may point to dimensions in symptom presentation that possess more reliable behavioral and neural correlates. The potential for these findings to inform the development of prevention and treatment strategies is discussed.


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