Издание содержит: История исследования творчества в психологии; Феноменология творческой личности.

Vizantiĭsʹkyĭ neoplatonizm i︠a︡k predmet relihii︠e︡znavchoho ta istoryko-filosofsʹkoho doslidz︠h︡enni︠a︡ -- Formuvanni︠a︡ vizantiĭsʹkoho neoplatonizmu u tvorakh Ĭoana Filopona (Dionisii︠a︡ Areopahita) -- Filosofii︠a︡ butti︠a︡ Maksyma Spovidnyka--kulʹminat︠s︡ii︠a︡ rozvytku vizantiĭsʹkoho neoplatonizmu -- Vizantiĭsʹkyĭ neoplatonichnyĭ esent︠s︡ializm kint︠s︡i︠a︡ VII-pochatku XIV stolitʹ -- Palamizm i︠a︡k osoblyva forma vizantiĭsʹkoho neoplatonizmu.

Nota editorial: En su encíclica Laudato Si nº 139, nota 117, el Papa Francisco cita el apartado 2.1 de un artículo del jesuita argentino Juan Carlos Scannone, aparecido en el libro del Equipo Jesuita Latinoamericano de Reflexión Filosófica Irrupción del pobre y quehacer filosófico. Hacia una nueva racionalidad, Buenos Aires, 19931 con el título: «La irrupción del pobre y la lógica de la gratuidad». Como la obra está agotada y, por lo tanto, es de difícil acceso, Pensamiento presta el servicio (...) de reeditarlo, junto con otro trabajo de dicho autor, aparecido unas páginas antes del mismo libro, a saber: «La irrupción del pobre y la pregunta filosófica en América Latina»; pues es el fundamento para la intelección del trabajo citado por el Papa. (shrink)

Research papers, chiefly on ancient Indic philosophy, and a few on Indian civilization.

The approach used by physics is based on the identification and study of ideal objects, which is also the basis of biophysics, in combination with von Neumann heuristic modeling and functional fractionation according to R.Rosen is discussed as a tool for studying the properties of consciousness. The object of the study is a kind of line of analog systems: the human brain, the vertebrate brain, the invertebrate brain and artificial neural networks capable of reflection, which is a key property characteristic (...) of consciousness. Reflection in the broad sense of the word, understood as an internal representation of the external world, is characteristic of a wide range of animals, and some of them (bumblebees, fish) even demonstrate reflection in the narrow sense of the word, understood as an inner self-representation. This complex behavior is realized by miniature brains of ~1 million neurons. The use of simple recurrent neural networks (RNNs) to obtain answers to general questions is illustrated. For example, it has been shown a small RNS is able to pass delayed matching to sample (DMTS) test, forming an individual dynamic representation of the received stimulus, allowing decoding by a special external neural detector.. It has been demonstrated in the reflexive game “even-odd”, the RNS has a huge advantage over a multi-layered neural network, with the same and a larger number of neurons – reflection defeats regression. It was found that the asymmetry of outcomes in the odd-even game, which was explained by various causes, including psychological ones – “it’s easier to catch up than to run away”, is reproduced in the game of two RNNs. Obviously, there are no psychological causes here and the advantage of the player playing for “even” is explained by the more complex strategy of the “odd” player – he needs to predict the opponent’s move and choose the opposite one. (shrink)

Работа посвящена комплексному анализу порождения научного знания как гносеологического процесса. Работа адресована всем интересующимся проблемами гносеологии, эпистемологии, философии и методологии науки, когнитивной науки.

1. Prolegomena. Provlēmata gnōsiologias.