Research on Intelligent Driving Behavior Based on Cognitive Science and Scene Simulation

2011 ◽  
Author(s):  
Xin Gao ◽  
Li Gao ◽  
Gang Dong
Keyword(s):  
Cognitive Science ◽  
Driving Behavior ◽  
Scene Simulation ◽  
Behavior Based

Modular Representations of Cognitive Phenomena in AI, Psychology and Neuroscience

2011 ◽  
pp. 66-89 ◽  
Author(s):  
Joanna J. Bryson
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Conscious Experience ◽  
Modular Representations ◽  
Domain Specific ◽  
Massive Modularity ◽  
Multi Agent ◽  
Individual Domain ◽  
Behavior Based

Many architectures of mind assume some form of modularity, but what is meant by the term ‘module’? This chapter creates a framework for understanding current modularity research in three subdisciplines of cognitive science: psychology, artificial intelligence (AI), and neuroscience. This framework starts from the distinction between horizontal modules that support all expressed behaviors vs. vertical modules that support individual domain-specific capacities. The framework is used to discuss innateness, automaticity, compositionality, representations, massive modularity, behavior-based and multi-agent AI systems, and correspondence to physiological neurosystems. There is also a brief discussion of the relevance of modularity to conscious experience.

Multi-agent and driving behavior based rear-end collision alarm modeling and simulating

2010 ◽  
Vol 18 (8) ◽  
pp. 1092-1103 ◽  
Author(s):  
Jun Liang ◽  
Long Chen ◽  
Xian-yi Cheng ◽  
Xian-bo Chen
Keyword(s):  
Driving Behavior ◽  
Multi Agent ◽  
Behavior Based

Prediction of Driving Behavior Based on Seat Pressure and Driving Information

2019 ◽  
Vol 2019.29 (0) ◽  
pp. 1410
Author(s):  
Yuya OGAWARA ◽  
Keiichi WATANUKI ◽  
Kazunori KAEDE ◽  
Keiichi MURAMATSU
Keyword(s):  
Driving Behavior ◽  
Behavior Based
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