Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors

Author(s):  
R. Sun ◽  
C. Sessions
Keyword(s):  
2004 ◽  
Vol 20 (02) ◽  
pp. 69-78 ◽  
Author(s):  
Jong Gye Shin ◽  
Cheol Ho Ryu ◽  
Jong-Ho Nam

Line heating is a method used in the production of highly curved plates in the shipbuilding process. Line-heating process is generally regarded as one of the outdated technologies in the modernized and automated shipbuilding process. No piece of information in the line-heating process is either quantified or computerized. These drawbacks have restricted the automation of line-heating process and, as a result, the entire shipbuilding process. Therefore, a new automated line-heating process based on quantitative and computerized heating information has been sought. This paper describes a comprehensive algorithm for an automated line-heating process. By focusing on the overview of the complete algorithm, this paper integrates the components of the algorithm that have been separately published by the authors. The overall procedure of the automated line-heating process, including shell piece modeling, shell development, cylindrical approximation for curved plates, computation of heating information, and measurement and surface comparison, is discussed. The comprehensive algorithm is adjustable for different heat sources and measuring methods, without incurring fundamental changes in algorithm. The proposed line-heating algorithm has been implemented and transferred to some shipyards for customized applications. Simulation of automated line-heating facility


2018 ◽  
Vol 23 (3) ◽  
pp. 267-284 ◽  
Author(s):  
Pieter Van Dessel ◽  
Sean Hughes ◽  
Jan De Houwer

Over the past decade, an increasing number of studies have shown that the performance of specific actions (e.g., approach and avoidance) in response to a stimulus can lead to changes in how that stimulus is evaluated. In contrast to the reigning idea that these effects are mediated by the automatic formation and activation of associations in memory, we describe an inferential account that specifies the inferences underlying the effects and how these inferences are formed. We draw on predictive processing theories to explain the basic processes underlying inferential reasoning and their main characteristics. Our inferential account accommodates past findings, is supported by new findings, and leads to novel predictions as well as concrete recommendations for how action performance can be used to influence real-world behavior.


1994 ◽  
Vol 17 (6) ◽  
pp. 1380-1383 ◽  
Author(s):  
M. Pachter ◽  
J. J. D'Azzo ◽  
J. L. Dargan

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