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  1. AI*IA.Antonio Lieto (ed.) - 2020 - Berlin: Springer.
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  2. Large Language Models: Assessment for Singularity.R. Ishizaki & Mahito Sugiyama - manuscript
    The potential for Large Language Models (LLMs) to attain technological singularity—the point at which artificial intelligence (AI) surpasses human intellect and autonomously improves itself—is a critical concern in AI research. This paper explores the feasibility of current LLMs achieving singularity by examining the philosophical and practical requirements for such a development. We begin with a historical overview of AI and intelligence amplification, tracing the evolution of LLMs from their origins to state-of-the-art models. We then proposes a theoretical framework to assess (...)
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  3. Machina sapiens.Nello Cristianini - 2024 - Bologna: Il Mulino -.
    Machina sapiens - l;algoritmo che ci ha rubato il segreto della conoscenza. -/- Le macchine possono pensare? Questa domanda inquietante, posta da Alan Turing nel 1950, ha forse trovato una risposta: oggi si può conversare con un computer senza poterlo distinguere da un essere umano. I nuovi agenti intelligenti come ChatGPT si sono rivelati capaci di svolgere compiti che vanno molto oltre le intenzioni iniziali dei loro creatori, e ancora non sappiamo perché: se sono stati addestrati per alcune abilità, altre (...)
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  4. Artificial Psychology.Jay Friedenberg - 2008 - Psychology Press.
    What does it mean to be human? Philosophers and theologians have been wrestling with this question for centuries. Recent advances in cognition, neuroscience, artificial intelligence and robotics have yielded insights that bring us even closer to an answer. There are now computer programs that can accurately recognize faces, engage in conversation, and even compose music. There are also robots that can walk up a flight of stairs, work cooperatively with each other and express emotion. If machines can do everything we (...)
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  5. Prosthetic Godhood and Lacan’s Alethosphere: The Psychoanalytic Significance of the Interplay of Randomness and Structure in Generative Art.Rayan Magon - 2023 - 26Th Generative Art Conference.
    Psychoanalysis, particularly as articulated by figures like Freud and Lacan, highlights the inherent division within the human subject—a schism between the conscious and unconscious mind. It could be said that this suggests that such an internal division becomes amplified in the context of generative art, where technology and algorithms are used to generate artistic expressions that are meant to emerge from the depths of the unconscious. Here, we encounter the tension between the conscious artist and the generative process itself, which (...)
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  6. Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Https://Orcidorg Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  7. The Great Philoosphical Objections to AI: The History and Legacy of the AI Wars.Eric Dietrich, Chris Fields, John P. Sullins, Van Heuveln Bram & Robin Zebrowski - 2021 - London: Bloomsbury Academic.
    This book surveys and examines the most famous philosophical arguments against building a machine with human-level intelligence. From claims and counter-claims about the ability to implement consciousness, rationality, and meaning, to arguments about cognitive architecture, the book presents a vivid history of the clash between the philosophy and AI. Tellingly, the AI Wars are mostly quiet now. Explaining this crucial fact opens new paths to understanding the current resurgence AI (especially, deep learning AI and robotics), what happens when philosophy meets (...)
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  8. الفلسفة وتعويذة الجي بي تي.Salah Osman - manuscript
    لم نعد بحاجة إلى فانوس سحري نمسح عليه بأصابعنا لكي يخرج منه المارد القادر على خدمتنا وتلبية بعض أهم مطالبنا الحياتية، ولم نعد بحاجة إلى تعويذات نلج بها في عالم السحر والخيال؛ لقد خرج المارد بالفعل من قمقمه الحاسوبي؛ من جوف مختبرات البرمجة والذكاء الاصطناعي، بتعويذات (أكواد) رياضية رمزية سرعان ما تمكن من التهامها وهضمها، ليبيت قادرًا على إنتاج تعويذات أخرى مماثلة، وربما أفضل منها! خرج «المُحول التوليدي المدرب مُسبقًا»، المعروف اختصارًا باسم «جي بي تي»، ملوحًا بإمكانات بحثية وخدمية وإنتاجية (...)
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  9. الذكاء الاصطناعي العاطفي.Salah Osman - manuscript
    الذكاء الاصطناعي العاطفي»، ويُعرف أيضًا باسم «الحوسبة العاطفية»، و«الذكاء الاصطناعي المتمركز حول الإنسان»، و«الذكاء الاصطناعي الاجتماعي»، مفهوم جديد نسبيًا (ما زالت تقنياته في طور التطوير)، وهو أحد مجالات علوم الحاسوب الهادفة إلى تطوير آلات قادرة على فهم المشاعر البشرية. يشير المفهوم ببساطة إلى اكتشاف وبرمجة المشاعر الإنسانية بُغية تحسين الذكاء الاصطناعي، وتوسيع نطاق استخدامه، بحيث لا يقتصر أداء الروبوتات على تحليل الجوانب المعرفية (المنطقية) والتفاعل معها فحسب، بل والامتداد بالتحليل والتفاعل إلى الجوانب العاطفية للتواصل البشري.
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  10. The Shortcut - Why Intelligent Machines Do Not Think Like Us.Nello Cristianini - 2023 - Boca Raton, Florida: CRC Press.
    Book. From the Publisher. An influential scientist in the field of artificial intelligence (AI) explains its fundamental concepts and how it is changing culture and society. -/- A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of AI in its (...)
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  11. ¿What is Artificial Intelligence?Fabio Morandín-Ahuerma - 2022 - Int. J. Res. Publ. Rev 3 (12):1947-1951.
    La inteligencia artificial (IA) es la capacidad de una máquina o sistema informático para simular y realizar tareas que normalmente requerirían inteligencia humana, como el razonamiento lógico, el aprendizaje y la resolución de problemas. La inteligencia artificial se basa en el uso de algoritmos y tecnologías de aprendizaje automático para dar a las máquinas la capacidad de aplicar ciertas habilidades cognitivas y realizar tareas por sí mismas de manera autónoma o semiautónoma. La inteligencia artificial se distingue por su grado de (...)
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  12. ¿Qué es Inteligencia Artificial?Fabio Morandín-Ahuerma - 2022 - Int. J. Res. Publ. Rev 3 (12):1947-1951.
    Resumen: La inteligencia artificial (IA) es la capacidad de una máquina o sistema informático para simular y realizar tareas que normalmente requerirían inteligencia humana, como el razonamiento lógico, el aprendizaje y la resolución de problemas. La inteligencia artificial se basa en el uso de algoritmos y tecnologías de aprendizaje automático para dar a las máquinas la capacidad de aplicar ciertas habilidades cognitivas y realizar tareas por sí mismas de manera autónoma o semiautónoma. La inteligencia artificial se distingue por su grado (...)
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  13. Techno-animism and the Pygmalion effect.Emanuele Arielli & Lev Manovich - forthcoming - Http://Manovich.Net/Index.Php/Projects/Artificial-Aesthetics.
    Chapter 3 of the ongoing publication "Artificial Aesthetics" Book information: Assume you're a designer, an architect, a photographer, a videographer, a curator, an art historian, a musician, a writer, an artist, or any other creative professional or student. Perhaps you're a digital content creator who works across multiple platforms. Alternatively, you could be an art historian, curator, or museum professional. -/- You may be wondering how AI will affect your professional area in general and your work and career. Our book (...)
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  14. AI Powered Anti-Cyber bullying system using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine.Tosin Ige & Sikiru Adewale - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 5.
    Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue.” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were able to provide a permanent solution to this by developing a model capable of detecting and intercepting bullying incoming and outgoing messages with 92% accuracy. We also developed a chatbot automation (...)
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  15. Can Artificial Intelligence (Re)Define Creativity?Dessislava Fessenko - 2022 - In EthicAI=LABS Project. Sofia: DA LAB Foundation /Goethe-institut Sofia. pp. 34-48.
    What is the essential ingredient of creativity that only humans – and not machines – possess? Can artificial intelligence help refine the notion of creativity by reference to that essential ingredient? How / do we need to redefine our conceptual and legal frameworks for rewarding creativity because of this new qualifying – actually creatively significant – factor? -/- Those are the questions tackled in this essay. The author’s conclusion is that consciousness, experiential states (such as a raw feel of what (...)
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  16. Exploring Minds: Modes of Modeling and Simulation in Artificial Intelligence.Hajo Greif - 2021 - Perspectives on Science 29 (4):409-435.
    The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the (...)
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  17. Walking Through the Turing Wall.Albert Efimov - forthcoming - In Teces.
    Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, the human (...)
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  18. Tokenization: The Key to Philosophy, Physics, and Psychology.Ilexa Yardley - 2021 - Intelligent Design Center.
    Zero and one are the circumference and diameter of an always-conserved circle. Explaining everything in philosophy, physics, and psychology. This produces a completely tokenized 'reality' with important implications for governmental and financial systems. As is, already, happening, in the exploding 'world' of NFT ('crypto' 'currency' in general) based on the statement and the diagram, and the notion of identity (knowledge as power).
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  19. Introduction to CAT4. Part 3. Semantics.Andrew Thomas Holster - manuscript
    CAT4 is proposed as a general method for representing information, enabling a powerful programming method for large-scale information systems. It enables generalised machine learning, software automation and novel AI capabilities. This is Part 3 of a five-part introduction. The focus here is on explaining the semantic model for CAT4. Points in CAT4 graphs represent facts. We introduce all the formal (data) elements used in the classic semantic model: sense or intension (1st and 2nd joins), reference (3rd join), functions (4th join), (...)
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  20. Events and Machine Learning.Augustus Hebblewhite, Jakob Hohwy & Tom Drummond - 2021 - Topics in Cognitive Science 13 (1):243-247.
    Topics in Cognitive Science, Volume 13, Issue 1, Page 243-247, January 2021.
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  21. Review of Marcus du Sautoy's The Creativity Code: Art and Innovation in the Age of AI. [REVIEW]Scott H. Hawley - 2020 - Perspectives on Science and Christian Faith 72 (1):52-54.
    A review of Marcus du Sautoy's 2019 book, THE CREATIVITY CODE: Art and Innovation in the Age of AI, Cambridge, MA: Belknap (Harvard) Press, 2019. ISBN: 9780674988132.
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  22. What cognitive research can do for AI: a case study.Antonio Lieto - 2020 - In AI*IA. Berlin: Springer. pp. 1-8.
    This paper presents a practical case study showing how, despite the nowadays limited collaboration between AI and Cognitive Science (CogSci), cognitive research can still have an important role in the development of novel AI technologies. After a brief historical introduction about the reasons of the divorce between AI and CogSci research agendas (happened in the mid’80s of the last century), we try to provide evidence of a renewed collaboration by showing a recent case study on a commonsense reasoning system, built (...)
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  23. Research and Implementation of Artificial Intelligence in Welding Process Design.Jianwei Yuan - 2017 - CHEMICAL ENGINEERING TRANSACTIONS 62:649-654.
    Aiming at the conflict between access and storage due to the continuous accumulation of knowledge storage in the field of artificial intelligence in welding, the author uses RDF (Resource Description Framework) to represent the technological knowledge of CO2 gas shielded welding, designs and implements a knowledge base based on Web semantic and stores it in HDFS, which is used to solve the difficulties of mass data storage. By studying the mechanism and characteristics of spatter in CO2 gas shielded welding, aiming (...)
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  24. The Artificialization of Mind and World.Mohammad Yaqub Chaudhary - 2020 - Zygon 55 (2):361-381.
    The rapid advancement of artificial intelligence (AI) has led to renewed ambitions of developing artificial general intelligence. Alongside this has been a resurgence in the development of virtual and augmented reality (V/AR) technologies, which are viewed as “disruptive” technologies and the computing platforms of the future. V/AR effectively bring the digital world of machines, robots, and artificial agents to our senses while entailing the transposition of human activity and presence into the digital world of artificial agents and machine forms of (...)
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  25. Bemba Mystico‐Relationality and the Possibility of Artificial General Intelligence (Agi) Participation in Imago Dei.Chammah Judex Kaunda - 2020 - Zygon 55 (2):327-343.
    This article interrogates the challenge artificial general intelligence (AGI) poses to religion and human societies, in general. More specifically, it seeks to respond to “Singularity”—when machines reach a level of intelligence that would put into question the privileged position humanity enjoys as imago Dei . Employing the Bemba notion of mystico‐relationality in dialogue with the concepts of the “created co‐creator” and Christ the Key, it argues for the possibility of AI participating in imago Dei . The findings show that imaging (...)
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  26. Encounters with Emergent Deities: Artificial Intelligence in Science Fiction Narrative.David Hipple - 2020 - Zygon 55 (2):382-408.
    In the mid‐twentieth century, theorists began seriously forecasting possibilities for artificial intelligence (AI). As related research gathered momentum and resources, the topic made impressions on public discourse. One effect was increasingly pointed emphasis on AI in popular narratives. Although considerably earlier thematic examples may be located, we can observe swelling and generally pessimistic threads of speculation in science fiction of the 1950s and 1960s. This discussion identifies some pertinent science fiction texts from that period, alongside public discussion arising from contemporary (...)
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  27. Intelligence, Artificial and Otherwise.Paul Dumouchel - 2019 - Forum Philosophicum: International Journal for Philosophy 24 (2):241-258.
    The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing (...)
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  28. Creators and creatures: The creation account in genesis and the idea of the artificial humanoid.Gábor Ambrus - 2019 - Zygon 54 (3):557-574.
  29. The computational modeling of inferential and referential competence.Fabrizio Calzavarini & Antonio Lieto - 2018 - In Fabrizio Calzavarini & Antonio Lieto (eds.), AISC 2018 Proceedings.
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  30. A Case for Machine Ethics in Modeling Human-Level Intelligent Agents.Robert James M. Boyles - 2018 - Kritike 12 (1):182–200.
    This paper focuses on the research field of machine ethics and how it relates to a technological singularity—a hypothesized, futuristic event where artificial machines will have greater-than-human-level intelligence. One problem related to the singularity centers on the issue of whether human values and norms would survive such an event. To somehow ensure this, a number of artificial intelligence researchers have opted to focus on the development of artificial moral agents, which refers to machines capable of moral reasoning, judgment, and decision-making. (...)
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  31. Computing the Human.N. Katherine Hayles - 2005 - Theory, Culture and Society 22 (1):131-151.
    Researchers in artificial intelligence and robotics often include a timeline stretching into the future in which they predict the convergence between human and artificial intelligence. Ray Kurzweil, for example, predicts that in a mere 100 years humans and intelligent machines will become indistinguishable from one another, both ceasing to have permanent corporeal forms. This article argues that the one thing we can know for sure about the future is that when it arrives, it will be different from what we imagined. (...)
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  32. Phantom body as bodily self-consciousness.Przemysław Nowakowski - 2011 - Avant: Trends in Interdisciplinary Studies 2 (1):135-149.
    In the article, I propose that the body phantom is a phenomenal and functional model of one’s own body. This model has two aspects. On the one hand, it functions as a tacit sensory representation of the body that is at the same time related to the motor aspects of body functioning. On the other hand, it also has a phenomenal aspect as it constitutes the content of conscious bodily experience. This sort of tacit, functional and sensory model is related (...)
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  33. L‘évolution de l'intelligence et Les formes modernes de la dialectique.Raymond Bayer - 1957 - Dialectica 11 (3-4):296-305.
    RésuméIl y a, dans la notion de dialectique moderne, deux perspectives de l'évolution intellectuelle: l'intelligence peut n'ětre encore que la pointe extrěme de l'adaptation biologique ou elle peut ětre déjà l'expression de la raison. C'est ce caractère ouvert des dialectiques scientifiques que nous retrouvons dans les interprétations étudiées ici: le pancalisme de Baldwin, la pensée sans images de Binet, l'interprétation de Janet et celle de Piaget, qui contribuent à enrichir la notion de genèse de l'intelligence et à en faire saisir (...)
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  34. Systemic versus Genetic Determination.Humberto Maturana - 2007 - Constructivist Foundations 3 (1):21-26.
    Purpose: Reflecting on the propensity of our culture to think in local linear causality such as “genetic determination” by examining systems and their operation. Findings: The existence of a system is operational, and a system exists as such only as long as the operational conditions that constitute it prevail. As the observer distinguishes a system, he or she specifies with his or her operation of distinction the conditions that constitute the system. Since the adaptation between living systems and medium is (...)
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  35. Can robots have phobias?: The synthetic modeling of psychological abnormality.Tony Savage - 2011 - Pragmatics and Cognition 19 (1):60-91.
    This paper evaluates the use of synthetic modeling to investigate the relationship between organic and artificial forms of behavioral mal-adaptability. In particular, it addresses the character of organic phobias and the issue of testing the validity of artificial models of these phobias. The two main accounts of organic phobias, the biological or evolutionary and the associative learning explanation, are used as the starting points of this exercise. The learning approach is explored in terms of a probability based model which uses (...)
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  36. Book Reviews - Roberto Cordeschi, The Discovery of the Artificial: Behaviour, Mind and Machines Before and Beyond Cybernetics, Dordrecht, The Netherlands: Kluwer Academic Publishers, 2002, xx + 312, ISBN 1-4020-0606-3. [REVIEW]Sander Begeer - 2005 - Minds and Machines 15 (2):264-268.
  37. M. J. Wooldridge, Reasoning about Rational Agents, Intelligent Robots and Autonomous Agents Series, Cambridge, MA: The MIT Press, 2000, xv+227 pp., $35.00 (hardcover), ISBN 0-262-23213-8. [REVIEW]Luca Spalazzi - 2003 - Minds and Machines 13 (3):429-435.
  38. What Sorts of Machines Can Understand the Symbols They Use?Aaron Sloman & L. Jonathan Cohen - 1986 - Aristotelian Society Supplementary Volume 60 (1):61-96.
  39. Synthetic phenomenology and high-dimensional buffer hypothesis.Antonio Chella & Salvatore Gaglio - 2012 - International Journal of Machine Consciousness 4 (2):353-365.
  40. The Philosophical Significance of Cybernetics.Alvin Eugene Keaton - 1969 - Dissertation, The University of Oklahoma
  41. Artificial Companions and their Philosophical Challenges.Luciano Floridi - 2009 - Dialogue and Universalism 19 (1-2):31-36.
    In this paper I argue that recent technological transformations in the life-cycle of information have brought about a fourth revolution, in the long process of reassessing humanity’s fundamental nature and role in the universe, namely the idea that we might be informational organisms among many agents, inforgs not so dramatically different from clever, engineered artefacts, but sharing with them a global environment that is ultimately made of information, the infosphere. In view of this important evolution in our self-understanding, and given (...)
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  42. “You never fail to surprise me”: the hallmark of the Other: Experimental study and simulations of perceptual crossing.Charles Lenay, John Stewart, Marieke Rohde & Amal Ali Amar - 2011 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 12 (3):373-396.
    Classically, the question of recognizing another subject is posed unilaterally, in terms of the observed behaviour of the other entity. Here, we propose an alternative, based on the emergent patterns of activity resulting from the interaction of both partners. We employ a minimalist device which forces the subjects to externalize their perceptual activity as trajectories which can be observed and recorded; the results show that subjects do identify the situation of perceptual crossing with their partner. The interpretation of the results (...)
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  43. It takes a village to construct a robot: A socially situated perspective on the ethics of robot design.Selma Šabanović - 2010 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 11 (2):257-262.
  44. Robots with consciousness: Creating a third nature.Bernhard J. Mitterauer - 2013 - International Journal of Machine Consciousness 5 (2):179-193.
    The paper starts out with a discussion of the difference between mythology and feasible concepts in robotics. Based on a novel brain model and an appropriate formalism, a distinction is made between auto-reflection and hetero-reflection of the robot and self-reflection of its constructor. Whereas conscious robots are able to auto-reflect their mechanical behavior and hetero-reflect the behavior with regard to the environment, the capability of self-reflection must remain within the constructor of the robot. This limitation of the construction of conscious (...)
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  45. A study of self-awareness in robots.Toshiyuki Takiguchi, Atsushi Mizunaga & Junichi Takeno - 2013 - International Journal of Machine Consciousness 5 (2):145-164.
    The present paper studies self-awareness and introduces some self-awareness related incidents. It then describes the relationship between self-awareness and consciousness and explains the MoNAD, a neural network circuit developed by the authors that capably describes the phenomena of self-awareness and consciousness. A model of self-awareness is then presented. This self-awareness model is a parallel network system in which multiple independent MoNADs communicate with one another. In experiments with robots, three test robots were used: (1) a self-image robot reflected in a (...)
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  46. Cybernetics and Philosophical Analysis.A. Schreurs - 1979 - International Logic Review 19:99.
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  47. Van gelder, der atman in der grossen Wald-geheimlehre. [REVIEW]Betty Heimann - 1957 - Hibbert Journal 56:419.
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  48. Was Life Designed by an Intelligence?Volkmar Weissig - 1998 - Free Inquiry 18.
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  49. Norbert Wiener, The Human Use of Human Beings: Cybernetics and Society. [REVIEW]Lucy Frith - 1990 - Radical Philosophy 54:49.
  50. Human Life and Its Value: Would You Want to Be a Brain in a Cyborg?Robert Anderson - 2010 - Lyceum 11 (2).
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