Wednesday, 12 December 2018

Has Agent-Based Modelling Already Solved The “Problem of Complexity"?

The CASA seminar of the autumn term last one in 2018, was on 12th December at 5 pm. 
In this seminar Dr Edmund Chattoe-Brown of the University of Leicester spoke on Agent based modelling

 Field of complexity  or the structure discussion and the subject matter if the challenge of the data. It is useful to discuss and look away from science to check the ideas of the future. The scientific damsons is important for the methods and design for the exiting complexity with their strength and weakness with their narrative form. The formal complexity of the implication of the system for the system - verbal use of complexity and methods. A different kind of challenge with research AND SOME ECONOMICS METHOD. 


There is a historic method which is explained in the middle. There are two types - with some grids that have spaces that are vacant which can be transferred to the model behaviour. It works on stimulation as the starting point , computational experience with experiments . Data modelling with decision making in the environment to make the generation of the arbitrary systems. Why is the intervention make things worst, how to develop tools to make it more systematic but it is difficult because of challenge of complexity. We cannot start unless we have a bigger models which can be validated on the real data.
Schelling model behaviour is liberate


 Abstract:
This deliberately polemical title is an attempt to express my concern with the status of the field called “complexity” which, at its extremes, seems to reproduce the traditional perils of extremely simple (but potentially non applicable) formal models and speculative narratives. 


The argument is contextualised and developed by focusing on certain aspects of the method (and methodology) of Agent-Based Modelling (though no prior knowledge of ABM will be assumed) to show how complexity is not a distinct field (any more than there needs to be a field of “linearity”) but a pattern of behavior that may or may not be displayed by particular systems. 


By reprising the arguments for ABM being an empirical method following a systematic methodology (and the hazards of it not being that) the presentation attempts to set up a less splendid but much more satisfying role for the study of complex phenomena.


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