The Advantage Of Probability Learning In Circular Transitive Structure

In social life,although there are many deterministic phenomena,most of them are uncertain probability events.In relational reasoning,when we face the natural phenomenon of certainty,we often present a linear transitive reasoning.However,the relationship between things is uncertain in a large probability,so it needs nonlinear transitive reasoning,which is also a social transitive reasoning.This study uses non social and social relationship structure materials to explore whether the circular /linear transitive structure can be separated and whether the circular transitive structure has the advantage of probability learning.Research 1: using the non social Efron dice model and game paradigm,this paper explores the circular / linear transmission structure separation.The results show that: there is a significant difference between the accuracy of circular transitive structure and linear transitive structure,and the circular transitive structure learns faster than the linear transitive structure,which indicates that in probability learning,circular / linear transitive structure is separated,which has the advantage of probability learning..Research 2: using the social face model and game paradigm,we explored the circular / linear transmission structure separation.The results show that: there is a significant difference between the accuracy of the circular transitive structure and the linear transitive structure,and the circular transitive structure achieves the matching probability in block 4,which indicates that in the probability learning,the circular /linear transitive structure is separated,which has the advantage of probability learning.Research 3: using the social family character relationship model,using the game paradigm,explore the circular / linear transmission structure separation.The results show that: there is a significant difference in the accuracy between the circular transitive structure and the linear transitive structure,and the circular transitive structure achieves the matching probability in block 1,which indicates that in the probability learning,the circular / linear transitive structure is separated,which has the advantage of probability learning.In the three groups of experiments,compared with the non social network of study 1,the social network of Research 2 and Research 3 has faster structure learning;compared with the linear transitive structure,the circular transitive structure has obvious probability learning advantage.On the basis of probability learning,this paper explores the separation of circular / linear transitive structure and the probability learning advantages of circular transitive structure,and more ecologically reveals the individual differences between social and non social stimuli in learning network topology.