scholarly journals Is Machine Learning Real Learning?

2019 ◽  
Vol 9 (3) ◽  
pp. 11
Author(s):  
Zdenko Kodelja

The question of whether machine learning is real learning is ambiguous, because the term “real learning” can be understood in two different ways. Firstly, it can be understood as learning that actually exists and is, as such, opposed to something that only appears to be learning, or is misleadingly called learning despite being something else, something that is different from learning. Secondly, it can be understood as the highest form of human learning, which presupposes that an agent understands what is learned and acquires new knowledge as a justified true belief. As a result, there are also two opposite answers to the question of whether machine learning is real learning. Some experts in the field of machine learning, which is a subset of artificial intelligence, claim that machine learning is in fact learning and not something else, while some others – including philosophers – reject the claim that machine learning is real learning. For them, real learning means the highest form of human learning. The main purpose of this paper is to present and discuss, very briefly and in a simplifying manner, certain interpretations of human and machine learning, on the one hand, and the problem of real learning, on the other, in order to make it clearer that the answer to the question of whether machine learning is real learning depends on the definition of learning.

2021 ◽  
Author(s):  
Lun Ai ◽  
Stephen H. Muggleton ◽  
Céline Hocquette ◽  
Mark Gromowski ◽  
Ute Schmid

AbstractGiven the recent successes of Deep Learning in AI there has been increased interest in the role and need for explanations in machine learned theories. A distinct notion in this context is that of Michie’s definition of ultra-strong machine learning (USML). USML is demonstrated by a measurable increase in human performance of a task following provision to the human of a symbolic machine learned theory for task performance. A recent paper demonstrates the beneficial effect of a machine learned logic theory for a classification task, yet no existing work to our knowledge has examined the potential harmfulness of machine’s involvement for human comprehension during learning. This paper investigates the explanatory effects of a machine learned theory in the context of simple two person games and proposes a framework for identifying the harmfulness of machine explanations based on the Cognitive Science literature. The approach involves a cognitive window consisting of two quantifiable bounds and it is supported by empirical evidence collected from human trials. Our quantitative and qualitative results indicate that human learning aided by a symbolic machine learned theory which satisfies a cognitive window has achieved significantly higher performance than human self learning. Results also demonstrate that human learning aided by a symbolic machine learned theory that fails to satisfy this window leads to significantly worse performance than unaided human learning.


2016 ◽  
Vol 6 (4) ◽  
pp. 126-141
Author(s):  
S.S. Kulakov

The increasing number of dysfunctional families causes an increase in the number of civil litigation on the education of the child, where the relationship between the persons are highly conflictual. The actual task is study the one of components in the structure of the psychological relationship - emotional and semantic constructs underlying semantic perception of each other and the child's parents. Examination of 42 testees (parents) from harmonious families and 54 testees (parents) during the forensic psychological and psychiatric examination (regarding the definition of child`s residence or the order of meetings for the child and the parent who don`t live with it) by methods "Geometric test of relations" and "Semantic Differential" showed that in families where is highly conflictual relationship, there is positive assessments of herself and her child, while assessment of the spouse (wife) characterized inversion. This negative attitude toward the spouse (wife) is not the other parent's negative characteristics. It is the ignoring the other parent's positive characteristics. The positive acceptance of all family members was revealed in harmonious families.


2006 ◽  
Vol 34 (101) ◽  
pp. 122-139
Author(s):  
Thor Grünbaum

Action in Narratology, Literature, and LifeIn this article I argue that the representation of simple, bodily action has the function of endowing the narrative sequence with a visualizing power: It makes the narrated scenes or situations ready for visualization by the reader or listener. By virtue of this visualizing power or disposition, these narrated actions disrupt the theoretical divisions, on the one hand, between the narrated story and the narrating discourse, and on the other hand, between plot-narratology and discourse-narratology. As narrated actions they seem to belong to the domain of plot-narratology, but in so far as they serve an important visualizing function, these narrated actions have a communicative function and as such they can be said to belong to the domain of discourse-narratology. In a first part of the article, I argue that a certain type of plot-narratology, due to its retrospective epistemology and abstract definition of action, is unable to conceive of this visualizing function. In a second part, I argue that discourse-narratology fares no better since the visualizing function is independent of voice and focalization. In a final part, I sketch a possible account of the visualizing function of simple actions in narratives.


2020 ◽  
Vol 6 (2) ◽  
pp. 54-71
Author(s):  
Raquel Borges Blázquez

Artificial intelligence has countless advantages in our lives. On the one hand, computer’s capacity to store and connect data is far superior to human capacity. On the other hand, its “intelligence” also involves deep ethical problems that the law must respond to. I say “intelligence” because nowadays machines are not intelligent. Machines only use the data that a human being has previously offered as true. The truth is relative and the data will have the same biases and prejudices as the human who programs the machine. In other words, machines will be racist, sexist and classist if their programmers are. Furthermore, we are facing a new problem: the difficulty to understand the algorithm of those who apply the law.This situation forces us to rethink the criminal process, including artificial intelligence and spinning very thinly indicating how, when, why and under what assumptions we can make use of artificial intelligence and, above all, who is going to program it. At the end of the day, as Silvia Barona indicates, perhaps the question should be: who is going to control global legal thinking?


Author(s):  
Daryna Prylypko

Key words: copyright, work, artificial intelligence, computer program In the article, the problemsof legislation of Ukraine regarding the issues of copyright on works created due to artificialintelligence were analyzed. Particularly, who is the owner of copyright ofworks created due to artificial intelligence. On the one hand, it could be a developer ofa computer program, from the other hand, it could be a client or an employer. Because,it could happen that there is a situation when robots created something newand original, e.g., how it happened with the project “New Rembrandt”. In this case,computers created a unique portrait of Rembrandt. And here is a question, where isin this portrait original and intellectual works of developers of these computers andprograms. In the contrast, this portrait could be created without people who developedspecial machines, programs, and computers. The article’s author proposes to addinto Ukrainian legislation with following norm: the owner of the copyright createddue to artificial intelligence should be a natural person who uses artificial intelligencefor these purposes within the official relationship or on the basis of a contract. In caseof automatic generation of such work by artificial intelligence, the owner of copyrightshould be the developer.Also, another question arises, particularly, who will be responsible for the damagecaused by the artificial intelligence. As an example, of the solution for this issue Resolution2015/2103 (INL) was given, where is mentioned that human agent could be responsiblefor the caused damage. Because, it is not always a developer is responsiblefor the damage.Also, the legislation and justice practice of foreign countries was explored. Theways of overcoming mentioned problems in legislation of Ukraine were proposed.Such as changing our legislation and giving the exact explanation in who is the ownerof copyright on works created due to artificial intelligence and in which cases this personcould become an owner of the copyright. However, probably, these issues shouldbe resolved at international level regarding globalization.


Intexto ◽  
2019 ◽  
pp. 166-184
Author(s):  
João Damasceno Martins Ladeira

This article discusses the Netflix recommendation system, expecting to understand these techniques as a part of the contemporary strategies for the reorganization of television and audiovisual. It renders problematic a technology indispensable to these suggestions: the tools for artificial intelligence, expecting to infer questions of cultural impact inscribed in this technique. These recommendations will be analyzed in their relationship with the formerly decisive form for the constitution of broadcast: the television flow. The text investigates the meaning such influential tools at the definition of a television based on the manipulation of collections, and not in the predetermined programming, decided previously to the transmission of content. The conclusion explores the consequences of these archives, which concedes to the user a sensation of choice in tension with the mechanical character of those images.


1994 ◽  
Vol 87 (4) ◽  
pp. 461-472 ◽  
Author(s):  
Hannah Kasher

In his introductory essay on the philosophical sources of The Guide of the Perplexed, Shlomo Pines points out a well-known contradiction between two conceptions of God in Maimonides' theology. On the one hand, Maimonides borrowed the Aristotelian definition of God as the intellect that cognizes itself; on the other, in line with Avicenna's Neoplatonic theory of attributes, Maimonides denied the possibility of saying anything positive about God. Pines proposes two possible solutions; first, that Maimonides was well aware of the contradiction, or, second, that he fell into the contradiction inadvertently. As Pines himself admits, however, neither solution is satisfactory.


2021 ◽  
pp. 264-269
Author(s):  
P. A. Moiseev

The review deals with Luc Boltanski's Mysteries and Conspiracies [Enigmes et complots]. The following is noted as defects of the reviewed book: detective fiction is associated with anxieties that question the framework of modern reality. Such attribution, it is argued, results from inaccurate comparison of detective fiction to a spy novel. The reviewer identifies contradictions in the definition of detective fiction: on the one hand, it is characterised by the proverbial anxiety. On the other, the writer suggests that unravelling a mystery normalises the ‘integrity of predictable expectations.' In addition, Boltanski confuses detective fiction with police procedural novels as well as the concepts of genre and theme with regard to spy novels (as a result, he dwells on ‘the genre of the spy novel,' even though spy novels are written in a number of genres). The review particularly criticises Boltanski's assessment of A. Conan Doyle's prose.


2021 ◽  
pp. 104-116
Author(s):  
Ivan O. Volkov ◽  

For the first time, in the article, Vladimir Titov’s letter (dated 12/24 February 1869) is published and commented. In the 1820s, in Russia, Titov was well-known as a writer and literature theorist, the author of a romantic novella The Remote House on Vasilyevsky Island (1829) close to Society of Lyubomudriye. The letter extracted from the archives of the National Library of Russia is addressed to Duke Vladimir Odoevsky whose relationship with Titov was friendly from the very beginning of their acquaintance. The letter focuses on Ivan Turgenev’s speech published in the first issue of Sovremennik and titled “Hamlet and Don Quixote”. Reacting to Turgenev’s article, Titov shortly and critically accesses the comparison concentrating mainly on the image of Hamlet and thoroughly expresses his opinion on the essence of his tragic state. Titov’s opinion is just the opposite of Turgenev’s complex and multidimensional interpretation. Having experienced the great impact of the philosophy of German idealism at the beginning of his career, Titov to a great extent idealizes Shakespeare’s character whom he long knows and whom he is clearly eager to vindicate. Meanwhile, Titov does not pursue the aim to absolutely advocate the romantic halo of Hamlet as a Titanic personality (grandiose intellect and scale of feeling) and to enact the tragic pathos of the inner fight only. Developing Goethe’s definition of the essence of the character’s inner conflict, Titov, on the one hand, approaches its real understanding underlying the prince’s necessity to stay in a derogatory position of a “pitiful semiclown, indecisive grouch and shred”. On the other hand, the assessment can not be absolutely objective because Titov wants to see Hamlet as a victim of the fatal fortune which turns him into a character of an almost classical tragedy of fate. Titov’s bright and developed reaction (in the document of private nature) to Turgenev’s article is attractive and important first of all for its vividly demonstrated novelty and creativity of the writer’s view, wideness and multimodality of the author’s perception of Hamlet’s image. For the first time, Turgenev gave a developed interpretation of Shakespeare’s image in the tale “Hamlet of Shchigrovsky Province” (1848). Continuing his searches in the area of “Russian” (or “steppe”) Hamlet, Turgenev creates moral and philosophical problems of the English tragedy in the crisis socio-historical and cultural atmosphere of Russia of the 1840s. However, the principles of the artistic generalization and the peculiarities of the new reading, not mentioned and not fully comprehended by his contemporaries, were surprising and rejected when the speech “Hamlet and Don Quixote” appeared, in which Shakespeare’s character is presented ultimately vividly and lively in the then current interpretation.


2020 ◽  
Vol 25 (2) ◽  
pp. 7-13
Author(s):  
Zhangozha A.R. ◽  

On the example of the online game Akinator, the basic principles on which programs of this type are built are considered. Effective technics have been proposed by which artificial intelligence systems can build logical inferences that allow to identify an unknown subject from its description (predicate). To confirm the considered hypotheses, the terminological analysis of definition of the program "Akinator" offered by the author is carried out. Starting from the assumptions given by the author's definition, the article complements their definitions presented by other researchers and analyzes their constituent theses. Finally, some proposals are made for the next steps in improving the program. The Akinator program, at one time, became one of the most famous online games using artificial intelligence. And although this was not directly stated, it was clear to the experts in the field of artificial intelligence that the program uses the techniques of expert systems and is built on inference rules. At the moment, expert systems have lost their positions in comparison with the direction of neural networks in the field of artificial intelligence, however, in the case considered in the article, we are talking about techniques using both directions – hybrid systems. Games for filling semantics interact with the user, expanding their semantic base (knowledge base) and use certain strategies to achieve the best result. The playful form of such semantics filling programs is beneficial for researchers by involving a large number of players. The article examines the techniques used by the Akinator program, and also suggests possible modifications to it in the future. This study, first of all, focuses on how the knowledge base of the Akinator program is built, it consists of incomplete sets, which can be filled and adjusted as a result of further iterations of the program launches. It is important to note our assumption that the order of questions used by the program during the game plays a key role, because it determines its strategy. It was identified that the program is guided by the principles of nonmonotonic logic – the assumptions constructed by the program are not final and can be rejected by it during the game. The three main approaches to acquisite semantics proposed by Jakub Šimko and Mária Bieliková are considered, namely, expert work, crowdsourcing and machine learning. Paying attention to machine learning, the Akinator program using machine learning to build an effective strategy in the game presents a class of hybrid systems that combine the principles of two main areas in artificial intelligence programs – expert systems and neural networks.


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