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Both Semi-Supervised Leaning and Active Learning are techniques used when unlabeled data is abundant, but the process of labeling them is expensive and/or time consuming. In this paper, those two machine learning techniques are combined into a single nature-inspired method. It features particles walking on a network built from the data set, using a unique random-greedy rule to select neighbors to...
Models of spiking neural networks have a great potential to become a crucial tool in the development of complex network theory. Of particular interest, these models can be used to better understand the important class of brain functional networks, which are frequently studied in the context of computational network analysis. A fundamental question is whether functional connectivity sampling via surface...
This paper suggests an approach to develop a class of evolving neural fuzzy networks with adaptive feature selection. The approach uses the neo-fuzzy neuron structure in conjunction with an incremental learning scheme that, simultaneously, selects the input variables, evolves the network structure, and updates the neural network weights. The mechanism of the adaptive feature selection uses statistical...
Simulation of home use of electric energy is a very powerful tool for the purpose of studying, planning and managing at electric energy distribution companies. This paper presents a NetLogo-based multi-agent system for energy consumption simulation in residential areas. Several possible consumers profiles and household appliances with different powers are modeled and simulated using computational...
Social simulation is a recently founded research area in which there are not that many tools. Net Logo, one popular representative tool is a modeling and simulation environment that provides a basic infrastructure for programming agent based simulations. Net Logo and other tools incur in the same problem that is sometimes agent characteristics and model features are defined together originating a...
This work presents the implementation of an agent based model concept to simulate a sample of the German society under a governmental social transfer system. Subsequently the behavior of the model is analyzed under changing conditions in order to proof that it can be used for the simulation of real societies under similar conditions. An important objective is to give evidence on economic interdependencies...
The complex regimes of operation situated between ordered and chaotic behavior are hypothesized to give rise to computational capabilities. Lacking an universal blueprint for the emergence of complexity, a costly search is typically used to find the configurations of distributed artificial systems that can facilitate global computation. In this paper, we address the tedious task of searching for complex...
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