Part 2: Discussion and Conclusion

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Are you constantly curious about reasoning, cognition and decision making? Then this article is for you!

This is the second article of the analysis. The presents the theory and the experimental results.

Discussion & Elaboration

Overall, the results of the experiment declared that the responses to conditional statements of the form “If A then C” can be affected by small changes in the context of the task and the way of the material is presented [1]. More concretely, when the problem was framed as the throw of a die the conjunctive interpretations were increased. Generally, people estimate probabilities based on their…


Getting Started

An advanced explanation (Classification tasks) — Part 1

1.1 A simple example: two Gaussians

An artificial dataset is constructed from two classes (1, -1 labels) of Gaussians with the same covariance matrices. “For equal covariance matrices, the decision boundary becomes linear, for the distributions having a small overlap as well as a large overlap. The fact that a linear decision boundary is optimal in the case of overlapping distributions means in fact that one has to tolerate misclassifications. [1]” The tolerance of misclassification is important in order to avoid overfitting. A good classifier should be able to generalize well in unseen data. Defining classification optimality depends on the classification task. However, in general, an…


Part 1: Theory and Experimental Results

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Are you constantly curious about reasoning, cognition and decision making? Then this article is for you! And… in order to see the full picture there is a second one .

Introduction and Theoretical Background

There are two main waves of psychology of reasoning. The traditional approach focuses on the processes of deductive reasoning based on the binary distinction between falsity and truth, using either inferential, production rules or a set of mental models [2], [3], [4], [5]. The mental model theory argues that the mind is a device that makesmental simulations in order to infer probabilities and reason logically ([4], [5], [6]). On the…

Christos Theodoropoulos

Doctor of Philosophy - PhD at KU Leuven

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