Observational Learning in Random Networks

2007 ◽  
pp. 574-588 ◽  
Author(s):  
Julian Lorenz ◽  
Martin Marciniszyn ◽  
Angelika Steger
Keyword(s):  
Observational Learning ◽  
Random Networks

Using Video Modeling Intervention and Speech Generating Devices To Teach Requesting Behaviors to Persons With Autism

2011 ◽  
Vol 20 (4) ◽  
pp. 109-113
Author(s):  
Karen Copple ◽  
Rajinder Koul ◽  
Devender Banda ◽  
Ellen Frye
Keyword(s):  
Developmental Disabilities ◽  
Experimental Design ◽  
Communication Skills ◽  
Observational Learning ◽  
Video Modeling ◽  
Single Subject ◽  
Design Studies ◽  
Communicative Behaviors ◽  
Speech Generating Device ◽  
Treatment Package

Abstract One of the instructional techniques reported in the literature to teach communication skills to persons with autism is video modeling (VM). VM is a form of observational learning that involves watching and imitating the desired target behavior(s) exhibited by the person on the videotape. VM has been used to teach a variety of social and communicative behaviors to persons with developmental disabilities such as autism. In this paper, we describe the VM technique and summarize the results of two single-subject experimental design studies that investigated the acquisition of spontaneous requesting skills using a speech generating device (SGD) by persons with autism following a VM intervention. The results of these two studies indicate that a VM treatment package that includes a SGD as one of its components can be effective in facilitating communication in individuals with autism who have little or no functional speech.

Cognitive Processes Underlying Observational Learning of Motor Skills

1999 ◽  
Vol 52 (4) ◽  
pp. 957-979 ◽  
Author(s):  
Yannick Blandin ◽  
Lena Lhuisset ◽  
Luc Proteau
Keyword(s):  
Motor Skills ◽  
Cognitive Processes ◽  
Observational Learning

The influence of self-talk and observational learning on long jump performance

2007 ◽  
Author(s):  
Flora Panteli ◽  
Ioannis Zarotis ◽  
Apostolos Theodorou ◽  
Athanasia Smirniotou
Keyword(s):  
Observational Learning ◽  
Jump Performance ◽  
Self Talk ◽  
Long Jump

Dyadic protocols, observational learning, and the acquisition of complex skills

2003 ◽  
Author(s):  
Eric Anthony Day ◽  
Leigh E. Paulus ◽  
Winfred Arthur ◽  
Erich C. Fein
Keyword(s):  
Observational Learning ◽  
Complex Skills

scholarly journals Normalized Sombor Indices as Complexity Measures of Random Networks

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 976
Author(s):  
R. Aguilar-Sánchez ◽  
J. Méndez-Bermúdez ◽  
José Rodríguez ◽  
José Sigarreta
Keyword(s):  
Random Matrix ◽  
Adjacency Matrix ◽  
Matrix Theory ◽  
Computational Study ◽  
Random Networks ◽  
Geometric Graphs ◽  
Theory Approach ◽  
Complexity Measures ◽  
Random Geometric Graphs ◽  
Highly Correlated

We perform a detailed computational study of the recently introduced Sombor indices on random networks. Specifically, we apply Sombor indices on three models of random networks: Erdös-Rényi networks, random geometric graphs, and bipartite random networks. Within a statistical random matrix theory approach, we show that the average values of Sombor indices, normalized to the order of the network, scale with the average degree. Moreover, we discuss the application of average Sombor indices as complexity measures of random networks and, as a consequence, we show that selected normalized Sombor indices are highly correlated with the Shannon entropy of the eigenvectors of the adjacency matrix.

Sign in / Sign up

Export Citation Format

Share Document