Sartre's ontology is not only self-contradictory in many respects but also heavily burdened by the heritage of Aristotelian and Cartesian metaphysics. This results in the principal incompatibility of Sartre's allegedly phenomenological analyses of the relations between être pour soi and être...

Sartre's ontology is not only self-contradictory in many respects but also heavily burdened by the heritage of Aristotelian and Cartesian metaphysics. This results in the principal incompatibility of Sartre's allegedly phenomenological analyses of the relations between être pour soi and être...

The economic, social, demographic, technological achievements, uneven distribution of raw materials, energy resources, require the opening of all economic systems. Mathematical models, came to help the arguments in this case, I propose a way to "experience" what the real situation is impossible....

This paper presents a constraint programming approach for a batch processing machine on which a finite number of jobs of non-identical sizes must be scheduled. A parallel batch processing machine can process several jobs simultaneously and the objective is to minimize the maximal lateness. The...

The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity. One of those techniques is Artificial Neural Network, one of the artificial in

With rapidly growing interest in the development of knowledge-based computer consulting systems for various problem domains, the difficulties associated with knowledge acquisition have special importance. This paper reports on the results of experiments designed to assess the effectiveness of an...

This research is part of a larger effort to build machine-based tools for developing scientific theories. In analogy with the research process in empirical research, we describe a logical cycle of theory development: (1) starting with an informal version of a theory, (2) then moving to its...

Expert systems often employ a weight on rules to capture conditional probabilities. For example, in classic rule-based settings, Pr(h | e) = x is used to mean "If e is known to be true then conclude h is true with probability x." Further, other probability-based approaches, such as influence...

This paper introduces a neural-net approach to perform discriminant analysis in business research. A neural net represents a nonlinear discriminant function as a pattern of connections between its processing units. Using bank default data, the neural-net approach is compared with linear...