12/26/2015 01:49:00 am
ZNB
To understand the emergence of self-organization phenomenon, we must before all set a causal link between the behavior of individuals and that of the group to which they belong. A four steps approach allows the establishment of this link.
(1). In the first step, the study is about the structure and the dynamic of the group (i.e. the evolution of the structure in time). This step characterizes on one hand the organization state of the group, and on the other hand, the function(s) fulfilled by this particular organization. In the first case, it's about identifying the presence of recurrent patterns, non random, and which are the sign of clear organization. In the second case, it's about understanding what challenge of the environment is overcame with this organization. It is also frequent to study the impact of different environmental conditions on the structure and the dynamic of the group.
(2). In the second step, the study is interested in identifying in the behavior of individuals constituting the group and in their interactions mechanisms likely to explain the observed dynamic at the group scale. It's about delicately characterizing the behavior of individuals according to environmental and social conditions they perceive. In particular, the influence of neighbors on the individual behavior should be made the subject of precise analyze. For example, the level of behavioral mimicry of individuals will have a very important impact on the ability of the group to make collective choices. Generally, the behavior of individuals is described in this step by stochastic processes, like for example probabilities of transition between two given behaviors. This type of description allow at the same time to capture the change of behavior and the variability associated to it.
(3). The third step consists of gathering -in a coherent framework the observations obtained during the previous step. It's about building a model that contains the set of individual behaviors likely to explain the appearance of a functional organization (because it responds to a problem) at the group level. This model can be based on qualifying observations of the individual behavior. In accordance with what is possible, it's however preferable to have quantitative measurement of the value of each parameter model.
(4). Finally, the forth step consists of formalizing the model in a language that allows it to be implemented in a simulation platform. This language is generally that of mathematical equations or of computing algorithms. The simulation of the model allows the observation of the structure and the theoretical collective dynamic obtained from individual individuals described during step 02. The comparison of these theoretical observations to the observations realized in step 03. The simulation of the model is then a crucial step to establish the link between the individual level and that of the group. Besides, it allows to make predictions on new conditions that could then be dealt with experimentally.
(1). In the first step, the study is about the structure and the dynamic of the group (i.e. the evolution of the structure in time). This step characterizes on one hand the organization state of the group, and on the other hand, the function(s) fulfilled by this particular organization. In the first case, it's about identifying the presence of recurrent patterns, non random, and which are the sign of clear organization. In the second case, it's about understanding what challenge of the environment is overcame with this organization. It is also frequent to study the impact of different environmental conditions on the structure and the dynamic of the group.
(2). In the second step, the study is interested in identifying in the behavior of individuals constituting the group and in their interactions mechanisms likely to explain the observed dynamic at the group scale. It's about delicately characterizing the behavior of individuals according to environmental and social conditions they perceive. In particular, the influence of neighbors on the individual behavior should be made the subject of precise analyze. For example, the level of behavioral mimicry of individuals will have a very important impact on the ability of the group to make collective choices. Generally, the behavior of individuals is described in this step by stochastic processes, like for example probabilities of transition between two given behaviors. This type of description allow at the same time to capture the change of behavior and the variability associated to it.
(3). The third step consists of gathering -in a coherent framework the observations obtained during the previous step. It's about building a model that contains the set of individual behaviors likely to explain the appearance of a functional organization (because it responds to a problem) at the group level. This model can be based on qualifying observations of the individual behavior. In accordance with what is possible, it's however preferable to have quantitative measurement of the value of each parameter model.
(4). Finally, the forth step consists of formalizing the model in a language that allows it to be implemented in a simulation platform. This language is generally that of mathematical equations or of computing algorithms. The simulation of the model allows the observation of the structure and the theoretical collective dynamic obtained from individual individuals described during step 02. The comparison of these theoretical observations to the observations realized in step 03. The simulation of the model is then a crucial step to establish the link between the individual level and that of the group. Besides, it allows to make predictions on new conditions that could then be dealt with experimentally.
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