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In this paper we propose and implement a modularization framework for Jason that enables developers to decompose agents into separate code units called modules, and by fulfilling an agent-module design contract to conceive agents behaviour design into different levels of abstraction - from a software engineering perspective. Thus, we promote code reuse as well as facilitate independent development,...
Traditionally, Group Recommender Systems (GRS) apply an aggregation approach, which computes a group rating for each item by estimating unknown individual ratings, for which has been demonstrated that matrix factorization (MF) models are superior to classic nearest-neighbor techniques in individual recommender systems. Moreover, when people are in a group making a choice from alternatives, they tend...
This paper deals with a computer-aided system for design of ship power plants safe for their operators. The specificity of ship power plants allows to assert that all plant spaces can be more or less dangerous for operators carrying out any operational or maintenance tasks. For this reason, these plants should be well-designed to minimize the possible hazards for their operators. The proposed system...
The effects of crime are diverse and complex, ranging from psychological and physical traumas faced by crime victims, to negative impacts on the economy of a whole nation. In this paper, an agent-based crime simulation framework to analyze crime and its causes is proposed and implemented. The agent-based simulation framework models and simulates both 1) crime events as a consequence of a set of interrelated...
In this paper we present a coordination model for multi-robot systems based on cooperative behaviors, where the low level behaviors are obtained through artificial neural networks and evolutionary algorithms to achieve a common goal. For this purpose, we have defined two strategies of self-alignment to carry out the docking process between two robots. Both strategies share the same goal of achieving...
Agility may be an important competitive advantage in many markets. In order to achieve it, the dynamics of the manufacturing systems must be considered. Control theory supports the development of dynamic models for production and inventory control. This paper discusses some dynamic models of production control specifically applied to scheduling and shop floor control. A comparative and critical analysis...
This article presents a novel obstacle avoidance algorithm. Using a combination of fuzzy logic and gain scheduling theories, a new methodology that reduces computational costs compared to conventional fuzzy methodologies, specially when the variables to be controlled are too many. For comparison purposes, a potential field algorithm was implemented. Both algorithms are tested in a series of experiments...
A fuzzy based hyperheuristic system is used for Genetic Aglorithm self adaption. A fuzzy Takagi-Sugeno Inference System is used as High level Heuristic and the GA is used as Low-level heuristic. The framework allows to the system to automatically adjust their own parameters without the need for manual adjustment. The fuzzy system to handle uncertainty about which or in what proportion should adjust...
In the article is presented possible application of swarm intelligence in the positioning of computer or queuing systems. As an object recognition for swarm intelligence is given a problem of cost optimization of the GI/M/1/N-type queue with finite buffer and a single vacation policy. Positioning of the analyzed queuing system was done using swarm intelligence, in particular cuckoo search algorithm...
In this paper, for zoning a large set of location's data we apply the k-means clustering algorithm. The results were plotted graphically and were satisfactory, so we conclude that the algorithm is useful despite the size of the data, at least for low data dimensions (latitude, longitude).
It is not clear so far what the implications of bifurcations in Discrete-Time Recurrent Neural Networks dynamics are with respect to learning algorithms. Previous studies discussed different phenomena in a general purpose framework, and here we are going to discuss in more detail. We perform an analysis of the dynamics of a neuron with feedback in order to find the different behaviors that it shows...
This paper analyzes the performance and practical implementation of fuzzy-neural networks for the autonomous motion of mobile robots. The designed fuzzy-neural controller is a refined version of a conventional fuzzy controller, and was trained to optimize a given cost function minimizing positioning error. It was found that the mobile robot with fuzzy-neural controller presents good positioning and...
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