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  1. 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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  2. 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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  3. 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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  4. ¿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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. Artificial Speech and Its Authors.Philip J. Nickel - 2013 - Minds and Machines 23 (4):489-502.
    Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded in (...)
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  16. Coalescing minds: Brain uploading-related group mind scenarios.Kaj Sotala & Harri Valpola - 2012 - International Journal of Machine Consciousness 4 (01):293-312.
    We present a hypothetical process of mind coalescence, where arti cial connections are created between two or more brains. This might simply allow for an improved form of communication. At the other extreme, it might merge the minds into one in a process that can be thought of as a reverse split-brain operation. We propose that one way mind coalescence might happen is via an exocortex, a prosthetic extension of the biological brain which integrates with the brain as seamlessly as (...)
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  17. Toward an explanatory framework for mental ownership.Timothy Lane - 2012 - Phenomenology and the Cognitive Sciences 11 (2):251-286.
    Philosophical and scientific investigations of the proprietary aspects of self—mineness or mental ownership—often presuppose that searching for unique constituents is a productive strategy. But there seem not to be any unique constituents. Here, it is argued that the “self-specificity” paradigm, which emphasizes subjective perspective, fails. Previously, it was argued that mode of access also fails to explain mineness. Fortunately, these failures, when leavened by other findings (those that exhibit varieties and vagaries of mineness), intimate an approach better suited to searching (...)
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  18. It Does So: Review of Jerry Fodor, The Mind Doesn't Work That Way. [REVIEW]Eric Dietrich - 2001 - AI Magazine 22 (4):121-24.
    Objections to AI and computational cognitive science are myriad. Accordingly, there are many different reasons for these attacks. But all of them come down to one simple observation: humans seem a lot smarter that computers -- not just smarter as in Einstein was smarter than I, or I am smarter than a chimpanzee, but more like I am smarter than a pencil sharpener. To many, computation seems like the wrong paradigm for studying the mind. (Actually, I think there are deeper (...)
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  19. Vindication of the Rights of Machine.Kris Rhodes - manuscript
    In this paper, I argue that certain Machines can have rights independently of whether they are sentient, or conscious, or whatever you might call it.
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  20. Posthumanism.Neil Badmington (ed.) - 2000 - New York: Palgrave.
    What is posthumanism and why does it matter? This book offers an introduction to the ways in which humanism's belief in the natural supremacy of the Family of Man has been called into question at different moments and from different theoretical positions. What is the relationship between posthumanism and technology? Can posthumanism have a politics—postcolonial or feminist? Are postmodernism and poststructuralism posthumanist? What happens when critical theory meets Hollywood cinema? What links posthumanism to science fiction. Posthumanism addresses these and other (...)
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  21. Ontology for human talk and thought (not robotics).Maria Bittner - 2006 - Theoretical Linguistics 32 (1):47-56.
    Hamm, Kamp, and van Lambalgen 2006 (hereafter HLK) propose to relate NL discourse to cognitive representations that also deal with world knowledge, planning, belief revision, etc. Surprisingly, to represent human cognition they use an event calculus "which has found applications in robotics". This comment argues that the robotics-based theory of HLK attributes too much to world knowledge and not enough to the ontology, centering, and other universals of NL semantics. It is also too Anglo-centric to generalize to languages of other (...)
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  22. Dynamic systems as tools for analysing human judgement.Joachim Funke - 2001 - Thinking and Reasoning 7 (1):69 – 89.
    With the advent of computers in the experimental labs, dynamic systems have become a new tool for research on problem solving and decision making. A short review of this research is given and the main features of these systems (connectivity and dynamics) are illustrated. To allow systematic approaches to the influential variables in this area, two formal frameworks (linear structural equations and finite state automata) are presented. Besides the formal background, the article sets out how the task demands of system (...)
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Computer Vision
  1. Medical Image Classification with Machine Learning Classifier.Destiny Agboro - forthcoming - Journal of Computer Science.
    In contemporary healthcare, medical image categorization is essential for illness prediction, diagnosis, and therapy planning. The emergence of digital imaging technology has led to a significant increase in research into the use of machine learning (ML) techniques for the categorization of images in medical data. We provide a thorough summary of recent developments in this area in this review, using knowledge from the most recent research and cutting-edge methods.We begin by discussing the unique challenges and opportunities associated with medical image (...)
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  2. Pictorial Syntax.Kevin J. Lande - forthcoming - Mind and Language.
    It is commonly assumed that images, whether in the world or in the head, do not have a privileged analysis into constituent parts. They are thought to lack the sort of syntactic structure necessary for representing complex contents and entering into sophisticated patterns of inference. I reject this assumption. “Image grammars” are models in computer vision that articulate systematic principles governing the form and content of images. These models are empirically credible and can be construed as literal grammars for images. (...)
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  3. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith & Simone Stumpf - 2024 - Information Fusion 106 (June 2024).
    As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse (...)
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  4. Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning.Adewale Sikiru, Tosin Ige & Bolanle Matti Hafiz - forthcoming - Proceedings of the IEEE:1-6.
    This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...)
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  5. Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.
    Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of synthetic audiovisual (...)
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  6. Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis.Davide Conigliaro, Celine Hudelot, Roberta Ferrario & Daniele Porello - 2017 - In Vittorio Murino, Marco Cristani, Shishir Shah & Silvio Savarese (eds.), Group and Crowd Behavior for Computer Vision, 1st Edition. pp. 297-319.
    In this paper, building on these previous works, we propose to go deeper into the understanding of crowd behavior by proposing an approach which integrates ontologi- cal models of crowd behavior and dedicated computer vision algorithms, with the aim of recognizing some targeted complex events happening in the playground from the observation of the spectator crowd behavior. In order to do that, we first propose an ontology encoding available knowledge on spectator crowd behavior, built as a spe- cialization of the (...)
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  7. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems.Owen C. King - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 265-282.
    Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...)
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Cybernetics
  1. Chiron and the Machines of Loving Grace.John T. Giordano - 2021 - Budhi: A Journal of Ideas and Culture 25 (2):73-106.
    Singularity has been a concern of the developers of cybernetics and artificial intelligence (AI) since the pioneering writings of such thinkers as Norbert Weiner. Yet many accept the inevitability of systems of AI surpassing human control and are optimistic that machine intelligence will harmonize human life with our environment. This essay examines this optimism against a reading of two poets: Richard Brautigan and Friedrich Hölderlin. Through these readings, it will attempt to show that the eclipse of nature by human beings (...)
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  2. Situating Krippendorff's Critical Cybernetics.Claudia Westermann - 2023 - Constructivist Foundations 19 (1):109-111.
    This Open Peer Commentary on “A Critical Cybernetics” by Klaus Krippendorff outlines that enacting alternative not-yet existing realities goes beyond discourse and can be considered design practice. A Critical Cybernetics for enacting alternative not-yet existing realities, such as Krippendorff proposed, would benefit from associating itself with the expertise in the technicity of society that has been central to cybernetics since its inception.
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  3. Paskian Algebra: A Discursive Approach to Conversational Multi-agent Systems.Thomas Manning - 2023 - Cybernetics and Human Knowing 30 (1-2):67-81.
    The purpose of this study is to compile a selection of the various formalisms found in conversation theory to introduce readers to Pask's discursive algebra. In this way, the text demonstrates how concept sharing and concept formation by means of the interaction of two participants may be formalized. The approach taken in this study is to examine the formal notation system used by Pask and demonstrate how such formalisms may be used to represent concept sharing and concept formation through conversation. (...)
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  4. Turning queries into questions: For a plurality of perspectives in the age of AI and other frameworks with limited (mind)sets.Claudia Westermann & Tanu Gupta - 2023 - Technoetic Arts 21 (1):3-13.
    The editorial introduces issue 21.1 of Technoetic Arts via a critical reflection on the artificial intelligence hype (AI hype) that emerged in 2022. Tracing the history of the critique of Large Language Models, the editorial underscores that the recent calls for slowing down the development of AI, as promoted by the technology industry, do not signify a shift towards reason and considerate economics. Instead, as these calls are firmly embedded in narratives where the power to decide for the majority of (...)
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  5. What is conversation theory?Thomas Manning - 2023 - Cybernetics and Human Knowing 30 (1-2):45-63.
    The purpose of the following text is to give readers a general introduction to Gordon Pask’s conversation theory, which is considered here to be a cybernetic and epistemological account of concept-forming and concept-sharing through conversational discourse and practice. While Pask devoted three lengthy tomes to articulate the theory and its applications, I believe it is necessary to give readers who are interested in conversation theory a general introduction to what I believe are the key features of his work in this (...)
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  6. Naturalized Teleology: Cybernetics, Organization, Purpose.Carl Sachs - 2023 - Topoi 42 (3):781-791.
    The rise of mechanistic science in the seventeenth century helped give rise to a heated debate about whether teleology—the appearance of purposive activity in life and in mind—could be naturalized. At issue here were both what is meant by “teleology” as well as what is meant “nature”. I shall examine a specific episode in the history of this debate in the twentieth century with the rise of cybernetics: the science of seemingly “self-controlled” systems. Against cybernetics, Hans Jonas argued that cybernetics (...)
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  7. Expansion of Powers' Perceptual Cybernetics.Huaxia Yan - 2018 - Journal of Human Cognition 2 (2):52-83.
    Perceptual Control Theory (PCT), pioneered by the American systems scientist, physicist and psychologist W. Powis, advanced N. Wiener's control theory in the following three ways: (1) It combined control theory with theoretical biology, considered control mechanisms as the essence of life, and proposed a more complete model of control of life. (2) It developed the concept of purposiveness in control systems, created the scientific concept of baseline signal or baseline information, and established the purposive formulation of cybernetics. It transforms the (...)
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  8. How the performer came to be prepared: Three moments in music’s encounter with everyday technologies.Iain Campbell - 2022 - In Natasha Lushetich, Iain Campbell & Dominic Smith (eds.), Contingency and Plasticity in Everyday Technologies. Lanham: Rowman & Littlefield. pp. 125-41.
    What kind of technology is the piano? It was once a distinctly everyday technology. In the bourgeois home of the nineteenth century it became an emblematic figure of gendered social life, its role shifting between visually pleasing piece of furniture, source of light entertainment, and expression of cultured upbringing. It performed this role unobtrusively, acting as a transparent mediator of social relations. To the composer of concert music it was, and sometimes still is, says Samuel Wilson, like the philosopher’s table: (...)
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  9. Cybernetic Musings on Open Form(s): Learning to float.Claudia Westermann - 2022 - Proceedings of Relating Systems Thinking and Design (Rsd11) Symposium.
    Second-order cybernetics conceives of human beings as agents and participants in the making of worlds, embedded in the design process. This conception of designing as a practice of living with and in a world grants it both urgency and hope. -/- The paper proposes that design practitioners, in the widest sense, can learn from design cybernetics when conceiving new methodologies for the post-Anthropocene era. Further, it proposes that these methodologies’ development can take advantage of comparative studies of design cybernetics and (...)
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  10. From Within, or the Domain of Design Practice.Claudia Westermann - 2022 - Constructivist Foundations 18 (1):137-139.
    Presenting an Open Peer Commentary on “In Maturana’s Wake: The Biology of Cognition’s Legacy and its Prospects” by Randall Whitaker, the article suggests that engaging with Maturana's biology of cognition in the context of design is a form of practice rather than application. Maturana's biology of cognition, the article argues, can be conceived of as initiating an educational process that supports agents to act “from within” rather than “from without.”.
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  11. Natural Cybernetics of Time, or about the Half of any Whole.Vasil Penchev - 2021 - Information Systems eJournal (Elsevier: SSRN) 4 (28):1-55.
    Norbert Wiener’s idea of “cybernetics” is linked to temporality as in a physical as in a philosophical sense. “Time orders” can be the slogan of that natural cybernetics of time: time orders by itself in its “screen” in virtue of being a well-ordering valid until the present moment and dividing any totality into two parts: the well-ordered of the past and the yet unordered of the future therefore sharing the common boundary of the present between them when the ordering is (...)
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  12. A Promethean Philosophy of External Technologies, Empiricism, & the Concept: Second-Order Cybernetics, Deep Learning, and Predictive Processing.Ekin Erkan - 2020 - Media Theory 4 (1):87-146.
    Beginning with a survey of the shortcoming of theories of organology/media-as-externalization of mind/body—a philosophical-anthropological tradition that stretches from Plato through Ernst Kapp and finds its contemporary proponent in Bernard Stiegler—I propose that the phenomenological treatment of media as an outpouching and extension of mind qua intentionality is not sufficient to counter the ̳black-box‘ mystification of today‘s deep learning‘s algorithms. Focusing on a close study of Simondon‘s On the Existence of Technical Objectsand Individuation, I argue that the process-philosophical work of Gilbert (...)
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  13. Genealogy of Algorithms: Datafication as Transvaluation.Virgil W. Brower - 2020 - le Foucaldien 6 (1):1-43.
    This article investigates religious ideals persistent in the datafication of information society. Its nodal point is Thomas Bayes, after whom Laplace names the primal probability algorithm. It reconsiders their mathematical innovations with Laplace's providential deism and Bayes' singular theological treatise. Conceptions of divine justice one finds among probability theorists play no small part in the algorithmic data-mining and microtargeting of Cambridge Analytica. Theological traces within mathematical computation are emphasized as the vantage over large numbers shifts to weights beyond enumeration in (...)
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  14. Yuk Hui’s Axio-Cosmology of the Unknown: Genesis and the Inhuman. [REVIEW]Ekin Erkan - 2020 - New Formations 100:209-213.
    In Recursivity and Contingency, Yuk Hui prompts a rigorous historical and philosophical analysis of today’s algorithmic culture. As evidenced by highspeed AI trading, predictive processing algorithms, elastic graph-bunching biometrics, Hebbian machine learning and thermographic drone warfare, we are privy to an epochal technological transition. As these technologies, stilted on inductive learning, demonstrate, we no longer occupy the moment of the ‘storage-and-retrieval’ static database but are increasingly engaged with technologies that are involved in the ‘manipulable arrangement’ (p204) of the indeterminable. It (...)
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  15. Finita la commedia.Andrej Poleev - 2020 - Enzymes 18.
    Искусственный интеллект – последняя, хотя и иллюзорная надежда продажных и провалившихся режимов как на Западе, так и на Востоке остаться на плаву: ведь тонущий хватается и за соломинку. Но всё течёт и всё изменяется, и никаким деспотиям и деспотам не удастся остановить ход истории, как бы они этого не желали и тому не противились. Хотя у истории нет конца, но их история и история совершённых ими предательств уже закончилась. Plaudite, cives, plaudite, amici, finita est comoedia: „Рукоплещите, граждане, друзья, комедия окончена.“.
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  16. The Quest for a Holistic and Historical-Developmental Theory of the Organism.Agustin Ostachuk - 2019 - Ludus Vitalis 27 (51):23-42.
    In this work the doctrine of organicism will be addressed, as explained and seen mainly by Bertalanffy. We will study how this doctrine represents and embodies the ambiguity of Kantian teleology as a regulative principle, and how this same problem leads to consider a real problem as a knowledge problem. It will be concluded that organicism, conceived in this way, does not represent a true holism, but what we will call a syn-holism, a synthesis or assembly, and that to obtain (...)
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  17. A Poetics of Designing.Claudia Westermann - 2019 - In Thomas Fischer & Christiane M. Herr (eds.), Design Cybernetics: Navigating the New. Springer Verlag. pp. 233-245.
    The chapter provides an overview on what it means to be in a world that is uncertain, e.g., how under conditions of limited understanding any activity is an activity that designs and constructs, and how designing objects, spaces, and situations relates to the (designed) meta-world of second-order cybernetics. Designers require a framework that is open, but one that supplies ethical guidance when ‘constructing’ something new. Relating second-order design thinking to insights in philosophy and aesthetics, the chapter argues that second-order cybernetics (...)
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  18. Resonances of the Unknown.Claudia Westermann - 2011 - Kybernetes 40 (7/8):1189-1195.
    Purpose – The purpose of this paper is to discuss the relevance of second-order cybernetics for a theory of architectural design and related discourse. -/- Design/methodology/approach – First, the relation of architectural design to the concept of “poiesis” is clarified. Subsequently, selected findings of Gotthard Günther are revisited and related to an architectural poetics. The last part of the paper consists of revisiting ideas mentioned previously, however, on the level of a discourse that has incorporated the ideas and offers a (...)
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  19. La réalité du champ axiologique : cybernétique et pensée de l'information chez Raymond Ruyer [The reality of the axiological field: Cybernetics and the thinking of information in Raymond Ruyer].Philippe Gagnon - 2018 - Louvain-la-Neuve: Chromatika.
    Description courte (Électre, 2019) : Une étude d'un des principaux axes de réflexion du philosophe des sciences et de la nature Raymond Ruyer (1902-1987). À la lumière des découvertes de l'embryogenèse et en s'appuyant par ailleurs sur la théorie de l'information, il proposa une interprétation des concepts unificateurs de la cybernétique mécaniste. -/- Short Descriptor (Electre 2019): A study of one of the main axes of reflection of the French philosopher of science and of nature Raymond Ruyer (1902-1987). Relying on (...)
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  20. On delight: Thoughts for tomorrow.Claudia Westermann - 2018 - Technoetic Arts 16 (1):43-51.
    The article introduces the problematics of the classical two-valued logic on which Western thought is generally based, outlining that under the conditions of its logical assumptions the subject I is situated in a world that it cannot address. In this context, the article outlines a short history of cybernetics and the shift from first- to second-order cybernetics. The basic principles of Gordon Pask’s 1976 Conversation Theory are introduced. It is argued that this second-order theory grants agency to others through a (...)
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  21. Modelo de Aprendizaje Biocibernetico BLM.Cesar Rommel Salas - 2017 - Computers and Society.
    La educación en el periodo digital en el que vivimos está alcanzando retos nunca antes vistos, precedidos por fenómenos que involucran no solamente a unidades sociales tradicionales, sino también a las nuevas comunidades virtuales; innovar es difícil, es un reto, no obstante, hay que pensar en nuevos métodos de enseñanza que impacten a la actual generación de estudiantes, los mismos que llegan con nuevas necesidades y expectativas. La construcción del conocimiento desde el sujeto y el mundo virtual que lo rodea, (...)
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