scholarly journals A Second-Order Adaptive Social-Cognitive Agent Model for Prisoner Recidivism

2020 ◽  
pp. 154-167
Author(s):  
Dorien Melman ◽  
Janne B. Ploeger ◽  
Jan Treur
Keyword(s):  
Social Cognitive ◽  
Second Order ◽  
Cognitive Agent ◽  
Agent Model

A social cognitive account of relational work

2016 ◽  
Vol 12 (1) ◽  
pp. 1-26
Author(s):  
Christopher Long
Keyword(s):  
Social Cognitive ◽  
Second Order ◽  
First Order ◽  
Relational Work

AbstractPostmodern accounts of politeness are founded on the idea that theoretical ‘second order’ conceptualizations (e.g., politeness2) must be grounded in ‘first order’ interlocutor interpretations (e.g., politeness1). One consequence of this assumption is that the generalizability of

A Hybrid Agent-Control System Approach to Analyze Various Driving Behaviors

2005 ◽  
Vol 49 (12) ◽  
pp. 1134-1137 ◽  
Author(s):  
Stacy Lovell ◽  
James Melhuish
Keyword(s):  
Control Systems ◽  
Highway Safety ◽  
Cognitive Agent ◽  
Aggressive Driving ◽  
Road Rage ◽  
Risky Driving ◽  
Agent Model ◽  
Driving Behaviors ◽  
Hybrid Agent ◽  
Implicit And Explicit

A large percentage of traffic problems occur due to risky or aggressive behavior by drivers (James, 2000). Aggressive driving, incidents of road rage, and following distance are some of the major concerns surrounding the issue, and are increasing in frequency and severity on America's roadways (Rathbone, 1999). An understanding of risky driving and its impact is required in order to help alleviate factors that contribute to these behaviors. Models of risky or aggressive behaviors of drivers allow us to study these effects and their impacts on highway safety, and can further help to identify levers (implicit and explicit) that influence these behaviors. This paper uses a cognitive agent model of human drivers as control systems to aid in the understanding of the effects of heterogeneous beliefs of risk, and the impacts of various driving behaviors on performance.

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