Happy BRAINew Year!

This is the first issue of the journal.

Table of Contents

⟵ Back to standard view

Disclaimer: These images were generated using artificial intelligence and may contain inaccuracies or inconsistencies. They are provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in these article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Abstracts in other languages

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Le présent document contient les résumés en langue française.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:

Dieser Artikel enthält Zusammenfassungen in Deutsch.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Itt találhatók a folyóirat cikkeinek összefoglalói.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Este artículo contiene resúmenes de artículos, en español.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Aqui você pode encontrar resumos de artigos em Português.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Acest articol conține rezumatele articolelor, în limba română.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
Questo articolo contiene i riassunti degli articoli.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Angel Garrido
Abstract:
The editorial for the first number of the BRAIN. Broad Research in Artificial Intelligence and Neuroscience journal.

BRAINovations

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Angel Garrido
Abstract:
Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is absolutely necessary to introduce more sophisticated tools, such as Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on [2]. Among the things that AI needs to represent are Categories, Objects, Properties, Relations between objects, Situations, States, Time, Events, Causes and effects, Knowledge about knowledge, and so on. The problems in AI can be classified in two general types
[3, 4], Search Problems and Representation Problem. There exist different ways to reach this objective. So, we have [3] Logics, Rules, Frames, Associative Nets, Scripts and so on, that are often interconnected. Also, it will be very useful, in dealing with problems of uncertainty and causality, to introduce Bayesian Networks and particularly, a principal tool as the Essential Graph. We attempt here to show the scope of application of such versatile methods, currently fundamental in Medicine.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Barna Iantovics
Abstract:
The development of efficient and flexible agent-based medical diagnosis systems represents a recent research direction. Medical multiagent systems may improve the efficiency of traditionally developed medical computational systems, like the medical expert systems. In our previous researches, a novel cooperative medical diagnosis multiagent system called CMDS (Contract Net Based Medical Diagnosis System) was proposed. CMDS system can solve flexibly a large variety of medical diagnosis problems. This paper analyses the increased intelligence of the CMDS system, which motivates its use for different medical problem’s solving.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut
Abstract:
This paper refers to the morphological analysis of words, as an important process in the domain
of natural language processing. We will present the classical solution, based on the use of inflected
paradigms and of an extended data base, containing all roots of the words, and then there are
emphasized some of the disadvantages of this method. Then we will present an original method, which
dynamically generates the roots of words, using phonetic alternances in the context of flexionary rules.
There are also presented some optimisations of the morphologic analysis algorithm.

BRAINStorming

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Ioana Boghian
Abstract:
The current paper starts from the concept of relatedness  as an act of signifying: everything inside a house signifies. The metaphorical type of architecture that we have attempted to construct aims at viewing the types of objects within a house as linking knots in the web of the house, while the way in which these objects (be they ornaments or tools) are distributed in space reveals not only a character’s profession and/or personality (objects as extensions and projections of the self), but also indicates some kind of social hierarchy.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Angel Garrido
Abstract:

Usually, the problems in AI may be many times related to Philosophy of Mind, and perhaps because this reason may be in essence very disputable. So, for instance, the famous question: Can a machine think? It was proposed by Alan Turing [16]. And it may be the more decisive question, but for many people it would be a nonsense. So, two of the very fundamental and more confronted positions usually considered according this line include the Connectionism and the Computational Theory of Mind. We analyze here its content, with their past disputes, and current situation.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Angel Garrido
Abstract:
The historical origin of the Artificial Intelligence (AI) is usually established in the Dartmouth Conference, of 1956. But we can find many more arcane origins [1]. Also, we can consider, in more recent times, very great thinkers, as Janos Neumann (then, John von Neumann, arrived in USA), Norbert Wiener, Alan Mathison Turing, or Lofti Zadeh, for instance [12, 14]. Frequently AI requires Logic. But its Classical version shows too many insufficiencies. So, it was necessary to introduce more sophisticated tools, as Fuzzy Logic, Modal Logic, Non-Monotonic Logic and so on [1, 2]. Among the things that AI needs to represent are categories, objects, properties, relations between objects, situations, states, time, events, causes and effects, knowledge about knowledge, and so on. The problems in AI can be classified in two general types [3, 5], search problems and representation problems. On this last "peak", there exist different ways to reach their summit. So, we have [4] Logics, Rules, Frames, Associative Nets, Scripts, and so on, many times connected among them. We attempt, in this paper, a panoramic vision of the scope of application of such representation methods in AI. The two more disputable questions of both modern philosophy of mind and AI will be perhaps the Turing Test and the Chinese Room Argument. To elucidate these very difficult questions, see our final note.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Elena Nechita
Abstract:
This paper presents an overview of the results that have been obtained lately on seriality and synchronicity and their link, in the light of the new theories and within the frame of complexity science.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Ioana Alexandra Pandele , Alina Mihaela Patriciu
Abstract:
The fusion of Artificial Intelligence and Real Time areas has proven to be quite a clever movement, similar to the movement associated to check in chess (lets not go that far as checkmate, considering that the area of Informatics is quite slippery when it comes to updates). Artificial Intelligence provides new possibilities to the Real-Time systems. However, this approach has shown important difficulties.[2]
Mainly, the Real-Time systems have temporal requirements (they usually require predictable response times) that are not usual in Artificial Intelligence techniques. One of the ways to solve this problem is the development of software architectures. These software architectures are used to design intelligent agents that work in real-time environments. These architectures have several mechanisms to allow the agents to work in real time environments offering reactive behavior (to fulfil the temporal requirements) and deliberative behavior. [2]
However, in Distributed Systems, although the notion of global time plays an important role, it is hard to realize; at first sight even the definition of the very term itself is not clear at all. This
paper is an extended work of [6]

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut , Iulian Marius Furdu
Abstract:
This paper describes a method for teaching students financial accounting bases. The method is based on correcting some typical mistakes, which can be observed at the beginners.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Bogdan Patrut , Grigor Moldovan
Abstract:
This paper describes the following: firstly, the basic ideas of a system that simulate how we consider that a child acquires the mother tongue vocabulary and makes the correspondences between objects, words and senses; secondly: the mechanism for a system that can learn the mother tongue vocabulary using observations and, thirdly, how to make an intelligent agent that can behave like a little child, in the process of mother tongue acquisition.

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Cosmin Ion Tomozei , Florinela Floria
Abstract:
The idea of alterity has become important in the last decades, when talking about the Information Age, which provides acknowledgement to the software development specialists about the importance of understanding the other’s behavior, needs, objectives and beliefs.
Our main purpose is to bring to attention the question of social representation related to the images of individuals as different entities that are integrated in virtual teams, virtual projects and e-activities. Regarding the consciousness about the other’s alterity, we assert that it opens a dialogical perspective about the Information Society, where it is essential to share and communicate knowledge to the others.

Lecture BRAINotes

Disclaimer: This image was generated using artificial intelligence and may contain inaccuracies or inconsistencies. It is provided solely as a visual aid to facilitate the rapid understanding of the key ideas presented in this article. Our editorial team conducts ongoing reviews of AI-generated images and will correct or replace them whenever an error or discrepancy is identified or reported.

Authors:
Claudia Ivan , Ioana Boghian
Abstract:
Gheorghe Marinescu (February 28, 1863, Bucharest – May 15, 1938, Bucharest) was a Romanian neurologist, founder of the Romanian School of Neurology.