The topic of the presented text is an examination of the relationship between the philosophy of individuation, as elaborated by Gilbert Simondon and later Gilles Deleuze, and the traditional philosophical issue of the individual and the world, which is exemplified by Kantian philosophy. Simondon attempts to elaborate a philosophy of the individual and individuation which departs from the idea of a priori forms of knowledge, and makes use of the concept of the “pre-individual” as a “proto-ontic dimension” as the real totalities defining the potentials of the individual. In so doing, Simondon embarks on a path that ushers in the philosophical programme which Deleuze would attempt to fulfil: in contrast to Kant, who attempts to stipulate the conditions of possible experience, Deleuze - following Simondon, but also Bergson - sets as his objective to define the conditions of real experience, above all in the book Difference and Repetition (Différence et répétition). The paper concludes by suggesting what consequences this reformulation of the issue of the individual and experience has for Deleuze’s interpretation of the concept of difference and intensity., Nicolas Dittmar., and Obsahuje poznámky a bibliografii
In this paper, the description of the new neurosimulator SiMoNNe is
presented. This simulator should facilitate the design of a new artificial neural network paradigm to a designer. A user can fully concentrate on the network design while working with SiMoNNe instead of the low-effective adaptation of the existing neural network paradigm or simulator. The crucial thing for the SiMoNNe simulator is a language containing resources for description, execution and debugging of a neural network. The SiMoNNe simulátor can he optimized for a particular application. The architecture of SiMoNNe assumes taking advantages of the internet.
We propose a generalization of simple coalition games in the context of games with fuzzy coalitions. Mimicking the correspondence of simple games with non-constant monotone formulas of classical logic, we introduce simple Łukasiewicz games using monotone formulas of Łukasiewicz logic, one of the most prominent fuzzy logics. We study the core solution on the class of simple Łukasiewicz games and show that cores of such games are determined by finitely-many linear constraints only. The non-emptiness of core is completely characterized in terms of balanced systems and by the presence of strong veto players.
Recurrent neural networks (RNNs) have much larger potential than
classical feed-forward neural networks. Their output responses depend also on the time position of a given input and they can be successfully used in spatio-temporal task Processing. RNNs are often used in the cognitive science community to process symbol sequences that represent various natural language structures. Usually they are trained by common gradient-based algorithms such as real time recurrent learning (RTRL) or backpropagation through time (BPTT). This work compares the RTRL algorithm that represents gradient based approaches with extended Kalman filter (EKF) methodology adopted for training the Elman’s simple recurrent network (SRN). We used data sets containing recursive structures inspired by studies of cognitive science community and trained SRN for the next symbol prediction task. The EKF approach, although computationally more expensive, shows higher robustness and the resulting next symbol prediction performance is higher.
This short note is a continuation of and and its purpose is to show that every simple zeropotent paramedial groupoid containing at least three elements is strongly balanced in the sense of [4].
The paper studies the problem of lowering the orders of input derivatives in nonlinear generalized state equations via generalized coordinate transformation. An alternative, computation-oriented proof is presented for the theorem, originally proved by Delaleau and Respondek, giving necessary and sufficient conditions for existence of such a transformation, in terms of commutativity of certain vector fields. Moreover, the dual conditions in terms of 1-forms have been derived, allowing to calculate the new generalized state coordinates in a simpler way. The result is illustrated with an example, originally given by Delaleau and Respondek (see [2]), but solved in an alternative way.
We revisit a hydrodynamical model, derived by Wong from Time-Dependent-Hartree-Fock approximation, to obtain a simplified version of nuclear matter. We obtain well-posed problems of Navier-Stokes-Poisson-Yukawa type, with some unusual features due to quantum aspects, for which one can prove local existence. In the case of a one-dimensional nuclear slab, we can prove a result of global existence, by using a formal analogy with some model of nonlinear ''viscoelastic'' rods.