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For the complexities of production and the limitations and lacks of methods for cost estimation of customized productions, a method for cost estimation based on Case-Based Reasoning was put forward in the steel enterprises. The process flow of the steel productions was analyzed in order to determine every activity in manufacturing steel productions. The descriptive procedure for the cases and the...
This work proposes a complete structure of an EEG biofeedback platform focused on an efficient way for its user to learn how to self regulate cortical activity. A longitudinal study of how voluntary training of specific electro cortical activity produces any stable changes in the electroencephalogram is also presented. Correlations of these changes with short term memory are also hypothesized. In...
This paper analyses from a psychological standpoint how human and more generally psychological dimensions were taken in consideration by the recent literature related to information technology security. We discuss three main psychologically relevant dimensions such as cognitive hacking, hackers profiling and human errors and distinguish four distinct levels of psychological approaches to information...
In artificial intelligence, various theories on knowledge representation have gained ground. While logic descriptions, semantic nets, frames and associative networks are used for the implementation, the question which theory is best to be used as archetype for the knowledge model is controversially discussed. Regarding the use of biological principals, neural nets and psychological inspired theories...
Integrating performance measures into the process of decision making of an autonomous agent is a common method in artificial intelligence. Reinforcement learning is one possible application that can be realized with this methodology. Recent findings in artificial intelligence showed the importance of the body and the tight connection to the decision making processes. This article introduces a model...
Rough set flow graphs proposed by Z. Pawlak are a useful tool for the knowledge representation. They can be applied to represent the knowledge of transitions between states included in multistage dynamic information systems. The knowledge represented by flow graphs is a basis for determining possibilities of appearances of states in the future using the max - min fuzzy composition. For this composition,...
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