By J. Principe
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Additional info for Artificial Neural Networks - (excerpt)
Here the already-assembled top network ﬁrst forms modules. Later on, modules can develop into elements of a top network. Module formation and the discrimination between modules and elements of a top network can teach us many lessons. So let us have a detailed look at these processes. 1 Network Modules Module formation is a general feature of most networks. Modules are also often called communities (see Fig. 11). , 2004; Wasserman and Faust, 1994). More deﬁnitions for modules. When we look at a graphical representation of a network, it is often easy to recognize its modules.
The search patterns of 1 000 steps are shown for various exponents α. In the model system of Vishnavathan et al. 0, which corresponds to Levy ﬂight, was shown to be optimal. Adapted from Visnawathan et al. , 1999). “I do not understand something here. How does a cell make a search strategy? ” A cell is not complex enough to be conscious. , 2001). The common mechanism most probably requires some form of arrest in relaxation processes. This is useful in networks in a low-resource environment since it does not allow dissipation of hard-earned energy.
Are the chances of placing cards scale-free in the game solitaire? Can a careful series of changes in game rules be discovered in football, basketball, tennis or other games, adjusting the excitement of the game to scale-free behavior? 12 Good schools are scale-free schools. A good school should have a scale-free probability distribution. Without a few strict rules, the identity of the school cannot be deﬁned and the school lacks the discipline helping the socialization of the students (over-democratic, anarchic schools).