Today syllogistic, due to its connection with natural language, finds broad application in a wide range of research fields: from cognitive sciences to AI. Some specific features of human perception and processing of syllogistic reasoning makes such kind of tasks prone to error. To diminish the impact of these cognitive biases visual interactive computer models are used as a representation of symbolic contexts. Moreover, to increase the effectiveness of learning various game elements could be applied. Euler and Venn diagrams are the most common methods of the syllogistic reasoning visual representation. There are some empirical proofs that Euler diagrams have better effect on the results of the syllogistic tasks solving. To illustrate the idea of a visual support system for syllogistic learning, we have proposed a project of software application that represents the environment for interactive syllogism construction, which relies on Euler diagrams as a visual representation.
|Date of Award||2016|
|Supervisor||Алексей Геннадьевич Кислов (Supervisor)|