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  1. The Computational Modeling of Inferential and Referential Competence.Fabrizio Calzavarini & Antonio Lieto - 2018 - In AISC 2018 Proceedings.
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  2. 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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  3. Synthetic Phenomenology and High-Dimensional Buffer Hypothesis.Antonio Chella & Salvatore Gaglio - 2012 - International Journal of Machine Consciousness 4 (2):353-365.
  4. 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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  5. “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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  6. 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.
  7. 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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  8. 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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  9. Cybernetics and Philosophical Analysis.A. Schreurs - 1979 - International Logic Review 19:99.
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  10. Van Gelder, der Atman in der Grossen Wald-Geheimlehre. [REVIEW]Betty Heimann - 1957 - Hibbert Journal 56:419.
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  11. Was Life Designed by an Intelligence?Volkmar Weissig - 1998 - Free Inquiry 18.
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  12. Norbert Wiener, The Human Use of Human Beings: Cybernetics and Society. [REVIEW]Lucy Frith - 1990 - Radical Philosophy 54:49.
  13. 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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  14. Ray Kurzweil and Uploading: Just Say No!Nicholas Agar - 2011 - Journal of Evolution and Technology 22 (1):23-36.
    There is a debate about the possibility of mind-uploading – a process that purportedly transfers human minds and therefore human identities into computers. This paper bypasses the debate about the metaphysics of mind-uploading to address the rationality of submitting yourself to it. I argue that an ineliminable risk that mind-uploading will fail makes it prudentially irrational for humans to undergo it.
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  15. Would You Still Love Me If I Was A Robot?Samuel Kenyon - 2008 - Journal of Evolution and Technology 19 (1):17-27.
    There is a general dichotomy in popular culture on the future of robotics and artificial intelligence: the Humans-Against-the-Machines scenario versus the We-Become-Them scenario. The likely scenario is the latter, which is compatible with an optimistic posthuman world. However, the technological and cultural paths to robotic integration still have many problems and pitfalls. This essay focuses on Human Robot Interaction issues that apply to adoption of robots in many aspects of life as well as adoption of robotics into humans themselves. The (...)
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  16. The Philosophical Significance of Cybernetics.Alvin Eugene Keaton - 1969 - Dissertation, The University of Oklahoma
  17. Beiträge Zur Allgemeinen Theorie des Funktionellen Systems.P. K. Anokhin, Wolfgang Haschke & K. V. Sudakov - 1978 - G. Fischer.
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  18. Things That Make Us Smart Defending Human Attributes in the Age of the Machine.Donald A. Norman - 1993
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  19. Homo Informaticus.Zohair Chentouf - 2000
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  20. A Concise Bibliography of the Literature on Artificial Intelligence. Project 4610, Task 46104.Alice M. Pierce - 1959 - Communication Sciences Laboratory, Electronics Research Directorate, Air Force Cambridge Research Center, Air Research and Development Command, U.S. Air Force.
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  21. Automation, Cybernetics, and Society.F. H. George & Stafford Beer - 1965 - Journal of Philosophy 62 (15):398-410.
  22. Cyborg Bodies—Self-Reflections on Sensory Augmentations.Stefan Greiner - 2014 - NanoEthics 8 (3):299-302.
    Sensory augmentation challenges current societal norms and views of what is conceived as a “normal” human being. Beginning with self reflections of a bodyhacker, the author proposes an extended view onto the human or respectively cyborg body. Based on cognitive theories, it is argumented that we are already mental cyborgs. Our brains plastically restructure themselves in order to meet new requirements of the technological extended human.
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  23. Proteus, or The Future of Intelligence. [REVIEW]S. Pierre Bouscaren - 1926 - Modern Schoolman 2 (4):59-61.
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  24. Robots and If ... Then.Ronald Cordero - 2002 - Sorites 14:21-35.
    How shall we have robots handle conditional statements? In this paper I argue that we absolutely cannot let them use several of the presently accepted rules of inference involving conditional statements if we want to avoid odd, preposterous, or even disastrous results. I discuss several kinds of problems that could be encountered and suggest alterations to certain rules of inference to prevent such problems from arising.
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  25. Artificial Phenomena.Ian Hacking - 1991 - British Journal for the History of Science 24 (2):235-241.
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  26. The Intelligence of a Machine.Jean Epstein - 2014 - Univocal Publishing.
    The advent of the cinema radically altered our comprehension of time, space, and reality. With his experience as a pioneering avant-garde filmmaker, Jean Epstein uses the universes created by the cinematograph to deconstruct our understanding of how time and space, reality and unreality, continuity and discontinuity, determinism and randomness function both inside and outside the cinema. Time, he says, should be regarded as the first, not the fourth, dimension—and the cinematograph allows us, for the first time, to manipulate it in (...)
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  27. People Do Not Interact with Robots Like They Do with Dogs.Kerstin Fischer - 2014 - Interaction Studies 15 (2):201-204.
  28. Problems with Using a Human-Dog Interaction Model for Human-Robot Interaction?Torbjorn S. Dahl - 2014 - Interaction Studies 15 (2):190-194.
  29. Social Behaviours in Dog-Owner Interactions Can Serve as a Model for Designing Social Robots.Tamás Faragó, Ádám Miklósi, Beáta Korcsok, Judit Száraz & Márta Gácsi - 2014 - Interaction Studies 15 (2):143-172.
    It is essential for social robots to fit in the human society. In order to facilitate this process we propose to use the family dog’s social behaviour shown towards humans as an inspiration. In this study we explored dogs’ low level social monitoring in dog-human interactions and extracted individually consistent and context dependent behaviours in simple everyday social scenarios. We found that proximity seeking and tail wagging were most individually distinctive in dogs, while activity, orientation towards the owner, and exploration (...)
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  30. Brain Machine Interface (BMI) as a Tool for Understanding Human-Machine Cooperation.Selim Eskiizmirliler & Jérôme Goffette - unknown
    Ever since the appearance of homo-sapiens, machines have served humans as a "brain nature interface" (BNI) - a means of interacting with nature, including humans and other living beings. The ability to use and manufacture machines has long been taken as proof of human intelligence: 18th century machines and automates and 20th century robots have had a tremendous impact in this sense. An entirely new milestone was achieved with the emergence of artificial intelligence (AI) and its promise of revolutionary change: (...)
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  31. A Computational Constructivist Model as an Anticipatory Learning Mechanism for Coupled Agent–Environment Systems.F. S. Perotto - 2013 - Constructivist Foundations 9 (1):46-56.
    Context: The advent of a general artificial intelligence mechanism that learns like humans do would represent the realization of an old and major dream of science. It could be achieved by an artifact able to develop its own cognitive structures following constructivist principles. However, there is a large distance between the descriptions of the intelligence made by constructivist theories and the mechanisms that currently exist. Problem: The constructivist conception of intelligence is very powerful for explaining how cognitive development takes place. (...)
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  32. Helpless Machines and True Loving Care Givers: A Feminist Critique of Recent Trends in Human‐Robot Interaction.Jutta Weber - 2005 - Journal of Information, Communication and Ethics in Society 3 (4):209-218.
  33. Socially Intelligent Robots: Dimensions of Human-Robot Interaction.Kerstin Dautenhahn - 2007 - In Nathan Emery, Nicola Clayton & Chris Frith (eds.), Social Intelligence: From Brain to Culture. Oxford University Press.
  34. Computing the Human.N. K. 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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  35. Using Robots as Introduction to Computer Science.Lisa Meeden - forthcoming - Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (Flairs).
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  36. Selmer Bringsjord, What Robots Can and Can't Be, Studies in Cognitive Systems.Hauser Larry - 1997 - Minds and Machines 7 (3):433-438.
  37. Complex Installations: Sharing Consciousness in a Cybernetic Ballet.Clarissa Ribeiro & Gilbertto Prado - 2010 - Technoetic Arts 8 (2):159-165.
  38. Book and Software Reviews-Evolving Intelligent Robots.Jeffrey Krichmar - 2001 - Complexity 6 (3):51-53.
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  39. Minicomputers and Society (Microprocessors, Minicomputers, Robots, Automation).T. Radil - 1980 - Filosoficky Casopis 28 (3):447-450.
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  40. Systems Theory and Scientific Philosophy: An Application of the Cybernetics of W. Ross Ashby to Personal and Social Philosophy, the Philosophy of Mind, and the Problems of Artificial Intelligence.John Bryant - 1991 - Upa.
    Systems Theory and Scientific Philosophy constitutes a totally new approach to philosophy, the philosophy of mind and the problems of artificial intelligence, and is based upon the pioneering work in cybernetics of W. Ross Ashby. While science is humanity's attempt to know how the world works and philosophy its attempt to know why, scientific philosophy is the application of scientific techniques to questions of philosophy.
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  41. The Artificialization of Life: Designing Self-Organization.Jean-Pierre Dupuy - 2013 - In S. Campbell & P. Bruno (eds.), The Science, Politics, and Ontology of Life-Philosophy. Bloomsbury Academic. pp. 79.
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  42. Towards Cognitive Robotics: Robotics, Biology and Developmental Psychology.Mark Lee, Ulrich Nehmzow & Marcos Rodrigues - 2012 - In David McFarland, Keith Stenning & Maggie McGonigle (eds.), The Complex Mind. Palgrave-Macmillan. pp. 103.
  43. Learning in Complex Environments: Biological and Artificial Adaptive Behavior.Maja J. Mataric - 1996 - In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum. pp. 18--7.
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  44. Probabilistic Nogood Store as a Heuristic.Andrei Missine & William S. Havens - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 768--777.
  45. Attention Architectures for Machine Vision and Mobile Robots.Lucas Paletta, Erich Rome & Hilary Buxton - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 642--648.
  46. Complexity and the Study of Human and Machine Intelligence.Z. W. Pylyshyn - 1981 - In J. Haugel (ed.), Mind Design. MIT Press.
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  47. Van Gelder. T.R. Port - 1995 - In Tim van Gelder & Robert Port (eds.), Mind as Motion: Explorations in the Dynamics of Cognition. MIT Press.
  48. Human Versus Machine Intelligence.Robin Gandy - 1996 - In Peter Millican Andy Clark (ed.), Machines and Thought the Legacy of Alan Turing. pp. 1--125.
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  49. Karlsruhe Brainstormers a Reinforcement Learning Approach to Robotic Soccer. P. Stone, T. Balch and G. Kraetszchmar, Eds, RoboCup 2000: Robot Soccer World Cup IV. [REVIEW]M. Riedmiller & A. Merke - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers.
  50. A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction.Pierre Lison - 2010 - In T. Icard & R. Muskens (eds.), Interfaces: Explorations in Logic, Language and Computation. Springer Berlin. pp. 102--113.
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