Causes of variation of darkness in flocks of starlings, a computational model

2021 ◽  
Author(s):  
A. Costanzo ◽  
H. Hildenbrandt ◽  
C. K. Hemelrijk
Keyword(s):  
Computational Model

Attentive Tracking in the Perception of Animacy: A Computational Model of "Chasing" vs. "Stalking"

2013 ◽  
Author(s):  
Tao Gao ◽  
Chris L. Baker ◽  
Joshua B. Tenenbaum
Keyword(s):  
Computational Model

Inference making and memory for text: A computational model

2001 ◽  
Author(s):  
Paul Van Den Broek ◽  
Yuhtsuen Tzeng ◽  
Sandy Virtue ◽  
Tracy Linderholm ◽  
Michael E. Young
Keyword(s):  
Computational Model ◽  
Inference Making ◽  
Memory For Text

Computational Model of Novel Popout

1992 ◽  
Author(s):  
William A. Johnston ◽  
Kevin J. Hawley ◽  
James M. Farnham
Keyword(s):  
Computational Model

Parallel Ordered-Access Machine Computational Model and Architecture

2016 ◽  
Vol 1 (2) ◽  
pp. 93-101 ◽  
Author(s):  
Anatoliy Melnyk ◽  
Keyword(s):  
Computational Model

Agent-Based Computational Model

2017 ◽  
Author(s):  
Joshua M. Epstein
Keyword(s):  
Computational Model ◽  
Bounded Rationality ◽  
Time Scales ◽  
Spatially Explicit ◽  
Agent Based ◽  
Affective Component ◽  
Elementary Type ◽  
Social Component ◽  
Different Time Scales

This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

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