Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains

Big Data ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 269-285 ◽  
Author(s):  
Juan Pablo Mendoza ◽  
Reid Simmons ◽  
Manuela Veloso
Keyword(s):  
High Dimensional ◽  
Dependent Model ◽  
Context Dependent

scholarly journals The role of kinship in knowledge about medicinal plants: evidence for context-dependent model-based biases in cultural transmission?

2019 ◽  
Vol 33 (2) ◽  
pp. 370-375 ◽  
Author(s):  
Camilla de Carvalho de Brito ◽  
Washington Soares Ferreira-Júnior ◽  
Ulysses Paulino Albuquerque ◽  
Marcelo Alves Ramos ◽  
Taline Cristina da Silva ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Cultural Transmission ◽  
Model Based ◽  
Dependent Model ◽  
Context Dependent

scholarly journals Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions

2019 ◽  
Vol 38 (8) ◽  
pp. 887-909
Author(s):  
Juan Pablo Mendoza ◽  
Reid Simmons ◽  
Manuela Veloso
Keyword(s):  
Autonomous Robots ◽  
Complex Environments ◽  
Contextual Model ◽  
Intelligent Decision Making ◽  
Multiple Observations ◽  
Intelligent Decision ◽  
Dependent Model ◽  
Real Robot ◽  
Context Dependent ◽  
Planning Space

Autonomous robots frequently rely on models of their sensing and actions for intelligent decision making. Unfortunately, in complex environments, robots are bound to encounter situations in which their models do not accurately represent the world. Furthermore, these context-dependent model inaccuracies may be subtle, such that multiple observations may be necessary to distinguish them from noise. This paper formalizes the problem of detection and correction of such subtle contextual model inaccuracies in autonomous robots, and presents an algorithm to address this problem. The solution relies on reasoning about these contextual inaccuracies as parametric regions of inaccurate modeling (RIMs) in the robot’s planning space. Empirical results from various real robot domains demonstrate that, by explicitly searching for RIMs, robots are capable of efficiently detecting subtle contextual model inaccuracies, which in turn can lead to task performance improvement.

Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society

2018 ◽  
pp. 142-155 ◽  
Author(s):  
Ivan Derevitskii ◽  
Oksana Severiukhina ◽  
Klavdiya Bochenina ◽  
Daniil Voloshin ◽  
Anastasia Lantseva ◽  
...  
Keyword(s):  
Opinion Dynamics ◽  
Dependent Model ◽  
Context Dependent
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