Computational Model for Capturing the Interdependencies on Information Processes

Author(s):  
Viacheslav Wolfengagen ◽  
Larisa Ismailova ◽  
Sergey Kosikov
Author(s):  
Paul Van Den Broek ◽  
Yuhtsuen Tzeng ◽  
Sandy Virtue ◽  
Tracy Linderholm ◽  
Michael E. Young

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

2019 ◽  
pp. 52-56
Author(s):  
V. V. Tarapata

The article describes the prerequisites for the use of educational robotics in the school course of informatics, the history of the development of its directions and the normative basis for its use in modern school education. A typical model of an educational robotic project for the organization of research and project activities of students has been proposed. The technological chart of the lesson as an example of the implementation of a robotic project in the framework of the research activities on informatics is considered. Approaches to the organization of educational activities, teaching tools and ways of evaluation in informatics class on the theme “Information processes. Information transmission” when using the project approach are described.


Author(s):  
Joshua M. Epstein

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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