The role of cognitive bias and skill in fruit machine gambling

1994 ◽  
Vol 85 (3) ◽  
pp. 351-369 ◽  
Author(s):  
Mark D. Griffiths
2021 ◽  
Author(s):  
Xue Xia ◽  
Yansong Li ◽  
Yanqiu Wang ◽  
Jing Xia ◽  
Yitong Lin ◽  
...  

1970 ◽  
Vol 116 (535) ◽  
pp. 593-597 ◽  
Author(s):  
E. Moran

Gambling may be defined as an activity which has the following four characteristics: 1.There is an agreement between two or more persons; the participation of others is therefore essential, although sometimes, as in pools and fruit machine gambling, this is more remote.2.Certain property is transferred between the persons involved so that some gain at the expense of others; this is usually referred to as the stake.3.The result is dependent on the outcome of a risky or uncertain situation; it therefore involves risk taking.4.Participation can be avoided and is typically pursued in an active fashion; the motivation for this is not uniform often being unrelated to the property staked and arising out of various psychological needs.


Author(s):  
Dalal Hamid Al-Dhahri, Arwa Abdullah Al-Ghamdi, Mogeda El-Sa

This study aims at investigating the relationship between cognitive biases and decision making from a sample of gifted secondary students. It also aims at identifying the level of students’ cognitive biases and decision making and the differences in these two areas based on different classrooms. Random sampling was used to collect data from 139 female secondary students from the gifted group. Their age ranged between (16-18) with an average of (16.6), A descriptive method was adopted in the study. The research tools used consisted of DACOBS David Assessment of Cognitive biases Scale (Vander Gaag. et al., 2000), translated and standardized by the present researchers, and Tuistra’s decision making scale for teenagers (Tuinstra, et al., 2000). The findings of the study show a negative correlation between cognitive biases and decision making. Also, there were no differences between cognitive biases and decision making scores based on different classrooms. The study also shows a low level of students’ cognitive biases and a high level of decision making. The study recommends activating the role of mentors and students' counseling, planning for the values and behaviors that need to be acquired by students by including them in the annual goals of the school administration and participating in societal awareness and education.


2020 ◽  
pp. 810-834
Author(s):  
Isaac Gould

This chapter compares two contrasting approaches to accounting for the verb placement errors in child Swiss German that are described in Schönenberger (2001). The first is a learning model that captures the errors because it both learns from ambiguous input and has a rich hypothesis space of interacting parameters (Gould 2017). The second captures the errors instead by means of a cognitive bias early in development, namely a heuristic for Dependency Length Minimization (DLM) (cf. Futrell et al. 2015). The latter approach is notable in that it (a) does not rely on learning from ambiguous input to capture child errors (cf. Sakas and Fodor 2001), (b) offers a prima facie simpler way of capturing the errors, and (c) is novel in applying DLM to account for child errors. Nevertheless, closer investigation shows that a DLM-based model does not provide a principled account of the children’s developmental trajectory and is clearly not any simpler than the alternative. Further, there is some reason to think more generally that DLM does not play a role in the development of the Swiss German children during the course of Schönenberger’s study. In contrast, an approach based on parameter interaction does provide the desired principled account. This comparison provides support for a non-biased learning model that has parameter interaction and learns from ambiguous input.


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