We present data and argument to show that in Tetris|a real-time interactive video game|certain cognitive and perceptual problems are more quickly, easily, and reliably solved by performing actions in the world rather than by performing computational actions in the head alone. We have found that some translations and rotations are best understood as using the world to improve cognition. They are...

In this paper an approach for automatic detection of segments where a regression model significantly underperforms and for detecting segments with systematically underor overestimated prediction is introduced. This segmentational approach is applicable to various expert systems including, but not limited to, those used for the mass appraisal. The proposed approach may be useful for various regr...

Criminal identification problems are examples of situations in which forensic approach the DNA profiles study is a common procedure. In order to deal with these problems it is needed an introduction to present and explain the various concepts involved, since distinct areas must be considered. Some problems are presented and the use of the object-oriented Bayesian networks, example of probabilis...

This paper introduces an expert system which demonstrates a new method for accurate estimation of building house cost. This system is simple and decreases the time, the effort, and the money of its beneficiaries. In addition, design and implementation of the proposed expert system are introduced. CLIPS 6.0 and C# are used in implementation phase. Also, this expert system is programmed to be in ...

An expert system to design compressor valve systems has been developed. Design process is viewed as a chain of decisions based on the results of necessary analyses. Actual design is implemented by the interaction between the expert system and the user. In this work. it is demonstrated how a final design is achieved by utilizing the rule bases and analysis capability of the system. The structure...

The technology of neural networks and expert systems are finding increasing applications in the field of machine tool diagnostics. In this paper, the advantages and disadvantages of these methods are analysed and compared. An intelligent integrated diagnosis system based on a combination of the two methods is presented. This scheme aims at exploiting the advantages and avoiding the disadvantage...

MYCIN was the first large expert system to perform at the level of a human expert and to provide users with an explanation of its reasoning. Most expert systems developed since MYCIN have used MYCIN as a benchmark to define an expert system. Moreover, the techniques developed for MYCIN have become widely available in the various small expert system building tools. MYCIN was developed at Stanfor...

In this paper, a fuzzy based method for hazardous contaminants localization using sensor networks will be proposed. The proposed method can perform well in noisy environments and in case of faulty sensor readings. Each node senses the contaminant concentration value around itself and broadcasts it along with its position information through sensor network. This way, all nodes have the current p...

An expert system is described that proposes an optimal mobile phase composition in reversed-phase high-performance liquid chromatography. This is achieved by predicting the retention index of the compound of interest from fragmental constants. Using a calibration line, set up with reference compounds, it is possible to infer from the retention index the percentage of organic modifier in the mob...

Fuzzy rule systems are an important element in the arsenal of automated control, as they are able to process the input provided by sensors and provide their output in very small times. Lately, there has been augmented interest in utilizing fuzzy rule systems in a wider range of applications, due to the intuitive way in which they represent and utilize knowledge. In these contexts, input is not ...