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The investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic and protein networks), or technological problems (optimization of large infrastructures). Several types(More)
The traditional explanation of delayed maturation age, as part of an evolved life history, focuses on the increased costs of juvenile mortality due to early maturation. Prior quantitative models of these trade-offs, however, have addressed only morphological phenotypic traits, such as body size. We argue that the development of behavioral skills prior to(More)
In this paper the results of several agent-based simulations, aiming to test the role of normative beliefs in the emergence and innovation of social norms, are presented and discussed. Rather than mere behavioral regularities, norms are here seen as behaviors spreading to the extent that and because the corresponding commands and beliefs do spread as well.(More)
We study numerically the ordering process of two very simple dynamical models for a two-state variable on several topologies with increasing levels of heterogeneity in the degree distribution. We find that the zero-temperature Glauber dynamics for the Ising model may get trapped in sets of partially ordered metastable states even for finite system size, and(More)
We present simulations of evolutionary processes operating on populations of neural networks to show how learning and behavior con influence evolution within a strictly Darwinian framework. Learning can accelerate the evolutionary process both when learning tasks correlated with the fitness criterion and when random learning tasks are used. Furthermore, an(More)
Several kinds of empirical evidence point to the existence of an asymmetry between linguistic production and linguistic comprehension: in general, understanding words seems to be easier than producing them. In this contribution we propose a neural model of the relationships between the semantic and the lexical systems. Our model explains the asymmetry(More)