Levels Of Decision Making And Certain Problems Of Artificial Intellect
نویسندگان
چکیده
Pecularities of Decision mpicing processes on eeneo-perceptual and speech-thinking levels are described. The productive oharactes of these processes are demonstrated. One of the traditional ways of artificial intellect constructing is an analysis of real decision making processes of man and subsequent formal description of them. Heuristic programming, however, representing to many scientists mind an acme in realising this approach has not approved hopes, pinned on it neither practical* nor theoretical ones (see,for example, 3,4). Prom the psychological point of view the initial position of heuristic model-ing pf thinking (in particular the program of Common Decision Maker Problem by Newell, Simon, Show) contradicts to the principal characteristics of mental processes: a)to their reflective character (they are the reflection of objective world, but not an operating by simbols); b)to active character of this reflection (mental reflection is not a passive reproduction of outer world objects, it is not a reproductional choice, sorting of already acquired knowledge, it is cogai-tion, i.e. It is an active productive "bailing* from objects new and new content by means of including them into new systems of relations / l /. On the present stage the research of man cognitive processes having been significantly realized in connection with de
منابع مشابه
A Hybrid Multi-attribute Group Decision Making Method Based on Grey Linguistic 2-tuple
Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...
متن کاملA conjugate gradient based method for Decision Neural Network training
Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...
متن کاملComparison of Three Decision-Making Models in Differentiating Five Types of Heart Disease: A Case Study in Ghaem Sub-Specialty Hospital
Introduction: cardiovascular diseases are becoming the main cause of mortality and morbidity in most countries. This research goal was to predict the types of heart diseases for more accurate diagnosis by data mining and neural network technics. Method: This research was an applied-survey study and after data preprocessing, three approaches of neural network, decision making tree and Bayes simp...
متن کاملEntrepreneurship policy and innovative indicators of industrial companies: Evaluation by MCDM and ANN Methods
The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...
متن کاملComparison of Three Decision-Making Models in Differentiating Five Types of Heart Disease: A Case Study in Ghaem Sub-Specialty Hospital
Introduction: cardiovascular diseases are becoming the main cause of mortality and morbidity in most countries. This research goal was to predict the types of heart diseases for more accurate diagnosis by data mining and neural network technics. Method: This research was an applied-survey study and after data preprocessing, three approaches of neural network, decision making tree and Bayes simp...
متن کامل