scholarly journals Understanding the Melanocyte Distribution in Human Epidermis: An Agent-Based Computational Model Approach

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e40377 ◽  
Author(s):  
Josef Thingnes ◽  
Timothy J. Lavelle ◽  
Eivind Hovig ◽  
Stig W. Omholt
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.


Author(s):  
Matheus M.G. Correia ◽  
João V.M. Barboza ◽  
Aquino L. Espíndola

2005 ◽  
Vol 16 (12) ◽  
pp. 1831-1840 ◽  
Author(s):  
AQUINO L. ESPÍNDOLA ◽  
T. J. P. PENNA ◽  
JAYLSON J. SILVEIRA

The rural-urban migration phenomenon is analyzed by using an agent-based computational model. Agents are placed on lattices which dimensions varying from d =2 up to d =7. The localization of the agents in the lattice defines that their social neighborhood (rural or urban) is not related to their spatial distribution. The effect of the dimension of lattice is studied by analyzing the variation of the main parameters that characterizes the migratory process. The dynamics displays strong effects even for around one million of sites, in higher dimensions (d =6, 7).


Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.


2008 ◽  
pp. 252-263 ◽  
Author(s):  
Satoru Yamadera

This chapter presents an agent-based computational model of the emergence of money. It is based on classical economic theories of money, advocating that money is a symbol of credibility. The most interesting and mysterious feature of money is a departure of its face value from its intrinsic value. People accept and appreciate a piece of paper because it is believed as money. The model examines how such belief creates money in a society. Further more, by incorporating spatial activities of agents into the simulations, the model can examine various hypotheses which were difficult to be examined in previous approaches. The simulation results show that parameters such as credibility and communication between agents will affect the outcomes. The model not only provides the foundation for more generalized theory of money, but also demonstrates that agent-based modeling can be an effective tool to examine various hypotheses of social sciences.


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