From Coder to Creator

Author(s):  
Andreas Matthias

Creation of autonomously acting, learning artifacts has reached a point where humans cannot any more be justly held responsible for the actions of certain types of machines. Such machines learn during operation, thus continuously changing their original behaviour in uncontrollable (by the initial manufacturer) ways. They act without effective supervision and have an epistemic advantage over humans, in that their extended sensory apparatus, their superior processing speed and perfect memory render it impossible for humans to supervise the machine’s decisions in real-time. We survey the techniques of artificial intelligence engineering, showing that there has been a shift in the role of the programmer of such machines from a coder (who has complete control over the program in the machine) to a mere creator of software organisms which evolve and develop by themselves. We then discuss the problem of responsibility ascription to such machines, trying to avoid the metaphysical pitfalls of the mind-body problem. We propose five criteria for purely legal responsibility, which are in accordance both with the findings of contemporary analytic philosophy and with legal practise. We suggest that Stahl’s (2006) concept of “quasi-responsibility” might also be a way to handle the responsibility gap.

2014 ◽  
Vol 61 (1) ◽  
pp. 5-8
Author(s):  
Boris Aberšek

Questions about the nature of the teaching/learning process originate in ancient Greek philosophy. What is the role of language? What is the relationship between the individuals? Are we free in our choices? Important ancient philosophers, Democritus, Plato, Aristotle and Lucretius answered these questions in different ways, while Descartes, Spinoza, Hume, Kant and many others continued where they left off. Even today in the Age of Technology, contemporary researchers from the fields of philosophy, cognitive science, neurobiology, and artificial intelligence ask similar, albeit technologically informed, questions. Among these, there are also questions about the relationship between humans and machines, and implications which they carry for solving traditional problems within philosophy, i.e. the mind-body problem, mental causation problem and the problem of consciousness.


The research incorporated encircles the interdisciplinary theory of cognitive science in the branch of artificial intelligence. It has always been the end goal that better understanding of the idea can be guaranteed. Besides, a portion of the real-time uses of cognitive science artificial intelligence have been taken into consideration as the establishment for more enhancements. Before going into the scopes of future, there are many complexities that occur in real-time which have been uncovered. Cognitive science is the interdisciplinary, scientific study of the brain and its procedures. It inspects the nature, the activities, and the elements of cognition. Cognitive researchers study intelligence and behavior, with an emphasis on how sensory systems speak to, process, and change data. Intellectual capacities of concern to cognitive researchers incorporate recognition, language, memory, alertness, thinking, and feeling; to comprehend these resources, cognitive researchers acquire from fields, for example, psychology, artificial intelligence, philosophy, neuroscience, semantics, and anthropology. The analytic study of cognitive science ranges numerous degrees of association, from learning and choice to logic and planning; from neural hardware to modular mind organization. The crucial idea of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures."


2011 ◽  
pp. 83-93
Author(s):  
Rita M.R. Pizzi

The advances of artificial intelligence (AI) have renewed the interest in the mind-body problem, the ancient philosophical debate on the nature of mind and its relationship with the brain. The new version of the mind-body problem concerns the relationship between computational complexity and self-aware thought. The traditional controversy between strong and weak AI will not be settled until we are able in the future to build a robot so evolved to give us the possibility to verify its perceptions, its qualitative sensations, and its introspective thoughts. However, an alternative way can be followed: The progresses of micro-, nano-, and biotechnologies allow us to create the first bionic creatures, composed of biological cells connected to electronic devices. Creating an artificial brain with a biological structure could allow verifying if it possesses peculiar properties with respect to an electronic one, comparing them at the same level of complexity.


Leonardo ◽  
1999 ◽  
Vol 32 (2) ◽  
pp. 127-134
Author(s):  
Mira Balaban ◽  
Michael Elhadad

Computer music environments (CMEs) are notoriously difficult to design and implement. As computer programs, they reflect the complex nature of music ontology and must support real-time manipulation of multimedia data. In addition, these programs must be usable by native users, supporting their creative process without obstructing it through technical difficulties. To achieve these goals, the authors argue, CMEs must be provided with a well-defined methodology relying on techniques from the fields of software engineering, artificial intelligence, and knowledge representation. This paper contributes an aspect of this methodology, concentrating on the role of visualizations in CMEs. The authors state that visualization deserves a specialized theory that is based on music ontology and that is independent of the concrete, implemented graphical interface.


Author(s):  
Georges Rey

This book is a defense, against mostly philosophical objections, of a Chomskyan postulation of an internal, innate computational system for human language that is typically manifested in native speaker’s intuitive responses to samples of speech. But it is also a critical examination of some of the glosses on the theory: the assimilation of it to traditional Rationalism; a supposed conflict between being innate and learned; an unclear ontology which requires what I call a “representational pretense” (whereby linguists merely pretend for the sake of exposition that, e.g., tokens of words are uttered); and, most crucially to my concerns, Chomsky’s specific eliminativism about the role of intentionality not only in his own theories, but in any serious science at all. This last is a fundamentally important issue for linguistics, psychology, and philosophy that I hope an examination of a theory as rich and promising as a Chomskyan linguistics will help illuminate. I will also touch on some peripheral issues that Chomsky seems to me to mistakenly associate with his theory: an anti-realism about ordinary thought and talk, and a peculiar dismissal of the mind/body problem(s), toward the solution of some of which I think his theory actually makes a promising contribution.


2005 ◽  
Vol 10 (1) ◽  
pp. 73-84 ◽  
Author(s):  
Jonathan Zuess

The ability of the mind and spirit to influence the body’s processes is a major theme in complementary and alternative medicine (CAM) literature. Some CAM authors have taken this idea to the extreme, claiming that the mind has complete control over the body. In this article, the origins and functions of the concept of the mind’s preeminence over the body are examined from historical, psychological, and sociological perspectives. Historically, this concept became especially emphasized during times of widespread social upheaval, possibly because dissociation from the body is an effective psychological coping mechanism. Important social functions are also served by the identification with an immaterial self, which may explain this concept’s prominence in CAM. Habitual dissociation from the body, however, is unhealthy. The implications for medicine of a more balanced view of the mind-body relationship are explored.


Author(s):  
Alison Peterman

In the 17th century, Descartes and Spinoza each provided interesting and influential approaches to answering the question: what is the relationship between a mind and its body? Descartes is in large part responsible for undermining the role of the soul in answering this question, formulating the “mind-body problem” in the form that philosophers still grapple with today. Following him, in Spinoza, we find (at least) three different accounts of embodiment, whose ingenuity is attested to by their long reception in the philosophical tradition.


1975 ◽  
Vol 20 (8) ◽  
pp. 660-660
Author(s):  
MADGE SCHEIBEL ◽  
ARNOLD SCHEIBEL

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.


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