Titlebook: Selected Issues in Experimental Economics; Proceedings of the 2 Kesra Nermend,Małgorzata Łatuszyńska Conference proceedings 2016 Springer I

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Reading Facial Expression to Understand Human Emotions: Micro-Expressions Training Videos (METV): Ths is important to individuals’ social functioning and in many different professional areas. The goal of this study was to test the relationship between micro-expression recognition ability and emotional intelligence (EI), which can be perceived as the ability to function well in social life. The stu

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Games Using Virtual Reality as a Tool in Economics Experimentsnomics. The author describes the software employed in the experiments using virtual stores created for the project simulator of consumer market behaviour and demonstrates how it can be combined with the storyline of a tabletop role-playing game. Additionally, the chapter outlines the problems that c

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Multi-criteria Preference Vector Method as Support Tool for Decision-Making in Virtual Worldshich can be used in the decision-making process. The ranking of objects according to decision-maker’s preferences is performed on the basis of a combination of the following two methods for the construction of aggregate measures: the Hellwig method, in which the Euclidean distance is used, and the v

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Neural Networks in Economic Problemstificial neural networks are universal and highly flexible function approximators. Neural networks are primarily used in the fields of cognitive science and engineering. In recent years, the use of neural network applications in economics has dramatically increased. Today, neural networks are a basi

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Basics of Statistical Researche carried out. Application of methods requires, as a first step, some preparation, i.e., determining the investigated variables, the type of the statistical regularity, defining the sample, the method of measuring variables, information on the statistics. This chapter discusses these issues. This chapter has theoretical character.

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Research on the Properties of the AHP in the Environment of Inaccurate Expert Evaluationsnd a eigenvector of a matrix; ones based on the method of least squares using error minimization; as well as the method of a data envelope. As a result, procedures are indicated which aggregate a decision-maker’s assessment in the most precise manner and which find solutions closest to a reference.