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Piaget's theory of social exchanges has been used as the basis for the analysis of interactions in Multiagent Systems, allowing the modeling of interactions as services exchange processes between pairs of agents, followed by the evaluation of those services by the agents involved, producing the so-called social exchange values. The purpose of this work is to develop a BDI-Fuzzy agent model for the...
In the last years, the emergence of big data led scientists from diverse disciplines toward the study of the laws underlying human mobility. Although these recent discoveries have shed light on very interesting and fascinating aspects about people movements, they are generally focused on global and general mobility patterns. For this reason, they do not necessarily capture phenomena related to specific...
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...
One of the most important features of a network is its division into communities, groups of nodes with many internal and few external connections. Furthermore, the community structure of a network can be organized hierarchically, which reflects a natural behavior of real life phenomena. It is a difficult task to detect and understand the community structure of a network and it becomes even more challenging...
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 power transformer is one of the most important equipment in an electric power system. If this equipment is out of order for some reason, the damage for both society and electric utilities are very significant. In this work, we present a comparative study of the application of Linear Networks, Multi-Layer Perceptrons - with three and four layers - and Radial Basis Functions Networks in the classification...
Brazil has a multi-party political system with 30 registered parties (as of 2013). However, anyone who knows a little about politics understands that is nearly impossible to have 30 dimensions of political positions (e.g. center, left, right, center-left, etc.) with no overlap. Hence, the obvious challenge is to understand this party system and how parties group together. However there is no obvious...
Analog integrated circuits design is a complex task due to the large number of input variables that must be determined in order to achieve different design goals such as voltage gain, unit voltage gain frequency, phase margin and dissipated power. This paper describes and implements an evolutionary optimization solution based on genetic algorithms and the well-known SPICE simulator, named "AGSPICE/FEI",...
Periodic routines have been traditionally identified in Social Sciences as the essential component of social organizations that are persistent in time, with the temporal continuity of such routines constituting the foundation of the preservation of the social systems both between successive generations and between extant and immigrant populations. Open multiagent systems (MAS) with persistent social...
The purpose of this work is to apply a hybrid algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) for solving the problem of Economic Dispatch, which is based on supplying an energy demand, subjected to some restriction and reach out the best possible cost. Basically, we use the mutation operator from GAs aiming to explore regions in the search space that cannot be reached...
The paper describes a methodology, models and automated system for an identification of human emotions based on analysis of body movements, a recognition of characteristic gestures and poses. In the model of person emotions, the typical body movements are formalized with linguistic variables and fuzzy hyper graphs for temporal events. Emotional states of the real person recognized with the automated...
On the current manuscript, we dissert on the application of Artificial Neural Network (ANN) as alternative and complementary approach for the observer-based method in transcription network, which is a recent proposed tool for modeling transcription networks. In view of that, it is claimed that neural networks as models for applied mathematics may solve the problem of gene expression estimation addressed...
The paper describes the new tools for group sorting and ordering multi-attribute objects, when several versions of object may exist. For instance, values of attributes are estimated by several actors upon many quantitative and qualitative criteria or measured in different ways. These methods are based on the verbal decision analysis and the theory of multiset metric spaces. The developed techniques...
The forecasting demand is the basis of strategic planning for production, sales and finances of any company. They are used for planning and control of production for planning productive system (long term) and the using (short term) of this system. With the increasing of the competition in the automobile market, there are, consequently, the increasing of concerning about establishing a balance between...
The malicious code analysis allows malware behavior characteristics to be identified, in other words how does it act in the operating system, what obfuscation techniques are used, which execution flows lead to the primary planned behavior, use of network operations, files downloading operations, user and system's information capture, access to records, among other activities, in order to learn how...
Understanding the influence of some factors on a particular phenomenon can be very relevant in many cases of decision-making. An example would be the identification of the level of influence that factors such as smoking, stress and lack of exercise have on the predisposition to heart disease. Knowing which of these inputs are relevant for a person to become a cardiac patient, it is possible to take...
The paper describes the computer-aided system for automation of the initial stages of multi-component software design, which is based on the semantic analysis of text. Automation lead to increasing in the quality of software development. The paper considers an approach to automation of the initial stages of software design. Program tools, which provide automated semantic analysis of technical documentation,...
Finding a good clustering solution for an unknown problem is a challenging task. Evolutionary algorithms have proved to be reliable methods to search for high quality solutions to complex problems. The present paper proposes a new set of genetic operators for the Fast Evolutionary Algorithm for Clustering (Fast-EAC) to improve the solution quality and computational efficiency. The new algorithm, called...
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