Results for 'Machine Creativity'

975 found
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  1. Creativity and the Machine. How Technology Reshapes Language.Fabio Fossa - 2017 - Odradek 3 (1-2):178-208.
    In scientific communications, journal articles, and philosophical aesthetic debates the words “art”, “creativity”, and “machine” are put together more and more frequently. Since some machines are designed to, or happens to, imitate human artistic creativity, it seems natural to use the same words to talk about human artists and machines which imitate them. However, the evolution of language in light of technology may conceal specific features of the phenomena it is supposed to describe. This makes it difficult (...)
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  2. Field Creativity and Post-Anthropocentrism.Stanislav Roudavski - 2016 - Digital Creativity 27 (1):7-23.
    Can matter, things, nonhuman organisms, technologies, tools and machines, biota or institutions be seen as creative? How does such creativity reposition the visionary activities of humans? This article is an elaboration of such questions as well as an attempt at a partial response. It was written as an editorial for the special issue of the Digital Creativity journal that interrogates the conception of Post-Anthropocentric Creativity. However, the text below is a rather unconventional editorial. It does not attempt (...)
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  3. Enhancing user creativity: semantic measures for idea generation.Georgi V. Georgiev & Danko D. Georgiev - 2018 - Knowledge-Based Systems 151:1-15.
    Human creativity generates novel ideas to solve real-world problems. This thereby grants us the power to transform the surrounding world and extend our human attributes beyond what is currently possible. Creative ideas are not just new and unexpected, but are also successful in providing solutions that are useful, efficient and valuable. Thus, creativity optimizes the use of available resources and increases wealth. The origin of human creativity, however, is poorly understood, and semantic measures that could predict the (...)
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  4. Machine intelligence: a chimera.Mihai Nadin - 2019 - AI and Society 34 (2):215-242.
    The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that conceived (...)
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  5. Creative Minds Like Ours? Large Language Models and the Creative Aspect of Language Use.Vincent Carchidi - 2024 - Biolinguistics 18:1-31.
    Descartes famously constructed a language test to determine the existence of other minds. The test made critical observations about how humans use language that purportedly distinguishes them from animals and machines. These observations were carried into the generative (and later biolinguistic) enterprise under what Chomsky in his Cartesian Linguistics, terms the “creative aspect of language use” (CALU). CALU refers to the stimulus-free, unbounded, yet appropriate use of language—a tripartite depiction whose function in biolinguistics is to highlight a species-specific form of (...)
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  6. AI-aesthetics and the Anthropocentric Myth of Creativity.Emanuele Arielli & Lev Manovich - 2022 - NODES 1 (19-20).
    Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this (...)
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  7. Machine art or machine artists? Dennett, Danto, and the expressive stance.Adam Linson - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 441-456.
    As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, expression, (...)
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  8. Machine Intelligence, New Interfaces, and the Art of the Soluble.Michael J. Lyons - 2017 - Arxiv.
    Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.
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  9.  61
    Machines That Create: Contingent Computation and Generative AI.M. Beatrice Fazi - 2024 - Media Theory 8 (2):1-12.
    In this article, M. Beatrice Fazi takes up Media Theory’s invitation to engage with Alan Díaz Alva’s analysis of her philosophical work on contingency in computation. The central argument of Fazi’s Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics is that computation can be productive of ontological novelty. This piece revisits that argument in the light of the technological developments that have occurred since 2018, when the book was published. Focusing on generative artificial intelligence (generative AI), the article considers (...)
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  10. Exploration of the creative processes in animals, robots, and AI: who holds the authorship?Jessica Lombard, Cédric Sueur, Marie Pelé, Olivier Capra & Benjamin Beltzung - 2024 - Humanities and Social Sciences Communications 11 (1).
    Picture a simple scenario: a worm, in its modest way, traces a trail of paint as it moves across a sheet of paper. Now shift your imagination to a more complex scene, where a chimpanzee paints on another sheet of paper. A simple question arises: Do you perceive an identical creative process in these two animals? Can both of these animals be designated as authors of their creation? If only one, which one? This paper delves into the complexities of authorship, (...)
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  11. Artificial intelligence and philosophical creativity: From analytics to crealectics.Luis de Miranda - 2020 - Human Affairs 30 (4):597-607.
    The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself (...)
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  12. The Problem of Musical Creativity and its Relevance for Ethical and Legal Decisions towards Musical AI.Ivano Zanzarella - manuscript
    Because of its non-representational nature, music has always had familiarity with computational and algorithmic methodologies for automatic composition and performance. Today, AI and computer technology are transforming systems of automatic music production from passive means within musical creative processes into ever more autonomous active collaborators of human musicians. This raises a large number of interrelated questions both about the theoretical problems of artificial musical creativity and about its ethical consequences. Considering two of the most urgent ethical problems of Musical (...)
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  13. (1 other version)CG-Art: demystifying the anthropocentric bias of artistic creativity.Leonardo Arriagada - 2020 - Connection Science 32 (4):398-405.
    The following aesthetic discussion examines in a philosophical-scientific way the relationship between computation and artistic creativity. Currently, there is a criticism about the possible artistic creativity that an algorithm could have. Supporting the above, the term computer-generated art (CG-Art) defined by Margaret Boden would seem to have no exponents yet. Moreover, it has been pointed out that, rather than a matter of primitive technological development, CG-Art would have in its very foundations the inability to exist. This, because art (...)
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  14. AI, Situatedness, Creativity, and Intelligence; or the Evolution of the Little Hearing Bones.Eric Dietrich - 1996 - J. Of Experimental and Theoretical AI 8 (1):1-6.
    Good sciences have good metaphors. Indeed, good sciences are good because they have good metaphors. AI could use more good metaphors. In this editorial, I would like to propose a new metaphor to help us understand intelligence. Of course, whether the metaphor is any good or not depends on whether it actually does help us. (What I am going to propose is not something opposed to computationalism -- the hypothesis that cognition is computation. Noncomputational metaphors are in vogue these days, (...)
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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 (...)
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  16. At Noon: (Post)Nihilistic Temporalities in The Age of Machine-Learning Algorithms That Speak.Talha Issevenler - 2023 - The Agonist : A Nietzsche Circle Journal 17 (2):63–72.
    This article recapitulates and develops the attempts in the Nietzschean traditions to address and overcome the proliferation of nihilism that Nietzsche predicted to unfold in the next 200 years (WP 2). Nietzsche approached nihilism not merely as a psychology but as a labyrinthic and pervasive historical process whereby the highest values of culture and founding assumptions of philosophical thought prevented the further flourishing of life. Therefore, he thought nihilism had to be encountered and experienced on many, often opposing, fronts to (...)
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  17. Every dog has its day: An in-depth analysis of the creative ability of visual generative AI.Maria Hedblom - 2024 - Cosmos+Taxis 12 (5-6):88-103.
    The recent remarkable success of generative AI models to create text and images has already started altering our perspective of intelligence and the “uniqueness” of humanity in this world. Simultaneously, arguments on why AI will never exceed human intelligence are ever-present as seen in Landgrebe and Smith (2022). To address whether machines may rule the world after all, this paper zooms in on one of the aspects of intelligence Landgrebe and Smith (2022) neglected to consider: creativity. Using Rhodes four (...)
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  18.  35
    Sulla creatività dei sistemi di calcolo, con una lettura filosofica del problema della fermata di Alan Turing.Michele Pavan - 2023 - «Epekeina. International Journal of Ontology, History and Critics», Vol. 16, No. 1-2 16 (1-2):1-33.
    The main goal of this essay is to demonstrate the creativity of computational systems (both living and non-living) through a philosophical interpretation of Alan Turing's halting theorem. The first part consists of a brief genealogy of studies focused on the analogy between humans and machines, with a specific focus on the issue of creativity. It aims to show how, since the publication of Turing's 1950 paper Computing Machinery and Intelligence, a subjectivist approach has become dominant in these studies—namely, (...)
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  19. Creatvity, Human and Transhuman: The Childhood Factor.Eduardo R. Cruz - 2018 - Techné: Research in Philosophy and Technology 22 (2):156-190.
    Transhumanists, like other elites in modernity, place great value on human creativity, and advances in human enhancement and AI form the basis of their propos- als for boosting it. However, there are problems with this perspective, due to the unique ways in which humans have evolved, procreated and socialized. I first describe how creativity is related to past evolution and developmental aspects in children, stressing pretend play and the ambivalent character of creativity. Then, I outline proposals for (...)
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  20. The Turing Guide.Jack Copeland, Jonathan Bowen, Robin Wilson & Mark Sprevak (eds.) - 2017 - Oxford: Oxford University Press.
    This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...)
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  21.  67
    Artificial Intelligence vs. Human Intelligence: Are the Boundaries Blurring?R. L. Tripathi - 2024 - Open Access Journal of Data Science and Artificial Intelligence 2 (1).
    This article focuses on the interaction between man and machine, AI specifically, to analyse how these systems are slowly taking over roles that hitherto were thought ‘only’ for humans. More recent, as AI has stepped up in ability to learn without supervision, to recognize patterns, and to solve problems, it adopted characteristics like creativity, novelty, intentionality. These events take one to the heart of what it is to be human, and the emerging definitions of self that are increasingly (...)
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  22. Identifying Philosophical Themes to Develop a Holistic Model for Education in the Twenty First Century.Manish Sharma - 2017 - Innovative Research Thoughts 3 (08):142-154. Translated by Manish Sharma.
    Twenty first century is posing unprecedented challenges for the human existence and development. This era has witnessed awesome economic & technological growth, increased connectedness but great poverty, malnutrition, anxiety, mental stress and environmental degradation. Thus, this time depicts great contradiction, uncertainty, and risk. Accordingly, in this era a holistic education system has to deal with the challenges such as population growth, terrorism, environmental degradation, hegemony of machines, mental stress, cultivating creativity, bridging the skill and wisdom gap, and expanding human (...)
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  23. Meaningful Work and Achievement in Increasingly Automated Workplaces.W. Jared Parmer - 2024 - The Journal of Ethics 28 (3):527-551.
    As automating technologies are increasingly integrated into workplaces, one concern is that many of the human workers who remain will be relegated to more dull and less positively impactful work. This paper considers two rival theories of meaningful work that might be used to evaluate particular implementations of automation. The first is achievementism, which says that work that culminates in achievements to workers’ credit is especially meaningful; the other is the practice view, which says that work that takes the form (...)
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  24. Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.
    This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI (...)
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  25. Information of the chassis and information of the program in synthetic cells.Antoine Danchin - 2009 - Systems and Synthetic Biology 3:125-134.
    Synthetic biology aims at reconstructing life to put to the test the limits of our understanding. It is based on premises similar to those which permitted invention of computers, where a machine, which reproduces over time, runs a program, which replicates. The underlying heuristics explored here is that an authentic category of reality, information, must be coupled with the standard categories, matter, energy, space and time to account for what life is. The use of this still elusive category permits (...)
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  26. AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks.Trystan S. Goetze - 2024 - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency:186-196.
    Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...)
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  27. Blended Cognition.Jordi Vallverdú & Vincent C. Müller (eds.) - 2019 - Cham: Springer.
    The central concept of this edited volume is "blended cognition", the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as “bad reasoning”, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: (...)
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  28. The purpose of qualia: What if human thinking is not (only) information processing?Martin Korth - manuscript
    Despite recent breakthroughs in the field of artificial intelligence (AI) – or more specifically machine learning (ML) algorithms for object recognition and natural language processing – it seems to be the majority view that current AI approaches are still no real match for natural intelligence (NI). More importantly, philosophers have collected a long catalogue of features which imply that NI works differently from current AI not only in a gradual sense, but in a more substantial way: NI is closely (...)
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  29. Musicians (Don't) Play Algorithms. Or: What makes a musical performance.Mira Magdalena Sickinger - 2020 - Kriterion - Journal of Philosophy 34 (3):1-22.
    Our private perception of listening to an individualized playlist during a jog is very different from the interaction we might experience at a live concert. We do realize that music is not necessarily a performing art, such as dancing or theater, while our demands regarding musical performances are conflicting: We expect perfect sound quality and the thrill of the immediate. We want the artist to overwhelm us with her virtuosity and we want her to struggle, just like a human. We (...)
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  30. Art, artefact and nature in Gillo Dorfles’s work. For an understanding of our aesthetic constitution.Filomena Parente - 2022 - Debates in Aesthetics 17 (2):39-53.
    Where Gillo Dorfles sees an ‘aesthetic quotient’ able to promote a right relationship between man and nature, and nature and artefact, the concept of objectualization accounts for the ambivalent consequences of man’s appropriation of nature, occurring in the shaping of reality. This concept appears in the arts but also in the production of ordinary man-made objects. The latter recalibrates our own understanding of art and nature. Starting from a definition of objectualization, the hypothesis of an equation between ar- tificiality and (...)
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  31. Jakob Leupold’s Imaginary Automatic Anamorphic Devices of 1713.Bennett Gilbert - 2016 - Media History 25 (2):1-18.
    In 1713 the scientific instrument-maker Jakob Leupold published designs for three machines were the first attempt to design machinery with internal moving parts that replaced human agency in creating original images. This paper first analyzes his text and engravings in order to explain how he proposed to do this, given contemporary materials and command of physical forces. Next, it characterizes the devices as a transition from concepts of incision to concepts of mirroring, taken as models of the history of mechanical (...)
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  32. 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 there are substantial ethical challenges related to bias in the training data, copyright issues, as well as ecological challenges which the technology industry has consistently downplayed over the years. -/- The editorial highlights the distinction between the current AI technology’s reliance on extensive pre-existing (...)
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  33. Peut-on jouir du capitalisme? Lacan avec Heidegger et Marx.Luis de Miranda (ed.) - 2008 - Paris: Max Milo.
    « Voici un livre vif, intelligent, nullement béni-oui-oui. Avec Lacan, il démontre que le capitalisme est une machine à faire jouir massivement. Ce qui s'obtient n'est pas pour autant une jouissance toute, mais seulement des lichettes. La jouissance demeurera toujours tonneau des Danaïdes. » Hervé Castanet, professeur des universités, psychanalyste, membre de l'école de la Cause freudienne. -/- Partout la qualité de vie prend la forme d'une quantité d'envies. Le nouveau monde oscille entre deux versants d'une même pièce de (...)
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  34. Heidegger’s World Projection vs Braver’s Concept of Worldview.Joshua Soffer - manuscript
    Heidegger’s analysis of the use of tools under the rubric of the ready to hand , or handiness, introduced in the first division of Being and Time, has been an important influence on Lee Braver’s thinking. Braver reads Heidegger’s ready to hand alongside the later Wittgenstein’s language games as articulations of a mode of creativity he describes as absorbed, engaged coping. This mode is both more immediate and more fundamental than representational, conceptual thinking. In this paper, I compare Heidegger’s (...)
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  35. Artificial Intelligence, Robots, and Philosophy.Masahiro Morioka, Shin-Ichiro Inaba, Makoto Kureha, István Zoltán Zárdai, Minao Kukita, Shimpei Okamoto, Yuko Murakami & Rossa Ó Muireartaigh - 2023 - Journal of Philosophy of Life.
    This book is a collection of all the papers published in the special issue “Artificial Intelligence, Robots, and Philosophy,” Journal of Philosophy of Life, Vol.13, No.1, 2023, pp.1-146. The authors discuss a variety of topics such as science fiction and space ethics, the philosophy of artificial intelligence, the ethics of autonomous agents, and virtuous robots. Through their discussions, readers are able to think deeply about the essence of modern technology and the future of humanity. All papers were invited and completed (...)
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  36. 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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  37. Information, Intelligence and Idealism.Martin Korth - manuscript
    Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...)
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  38. Cognición de la Realidad ante la Ciencia del Control - Problemas de ontología de la fotografía después de la Cibernética (Cognition of Reality before Science o Control – Ontology Problems of Photography after Cybernetics).Leonardo de Rezende C. Fares - 2024 - Fedro - Revista de Estética y Teoría de Las Artes 23:20-39.
    This essay aims to appreciate the evolution of the problems regarding the ontological understanding of the photographic image and its derivative, the film, in the face of the sophistication of the apparatus of its production. The creative freedom in making images through optical machines is inversely proportional to their credibility as documents. Since its appearance in the human landscape, as a cultural object, the technology of recording images with lights has brought with it a complex of aporias about what would (...)
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  39. Integrare.Thorsten Loew - manuscript
    The KenoNitroProject (KNP) is a philosophical project aimed at decrypting the natural source code, seen as the language of nature, in order to connect mind and matter and integrate energy as a third component in a cybernetic organism. The core statements of KNP are: 1) Nature is a cybernetic organism, 2) Energy is Matter is Consciousness in the Infinite (EMC8), 3) The aim of KNP is to decrypt the natural source code, 4) KNP tries to connect mind and matter, 5) (...)
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  40. Artificial Consciousness: Misconception(s) of a Self-Fulfilling Prophecy.Dresp-Langley Birgitta - 2023 - Queios.
    The rise of Artificial Intelligence (AI) has produced prophets and prophecies announcing that the age of artificial consciousness is near. Not only does the mere idea that any machine could ever possess the full potential of human consciousness suggest that AI could replace the role of God in the future, it also puts into question the fundamental human right to freedom and dignity. This position paper takes the stand that, in the light of all we currently know about brain (...)
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  41. 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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  42. Virtual Reality and the Meaning of Life.John Danaher - 2022 - In Iddo Landau (ed.), The Oxford Handbook of Meaning in Life. New York: Oxford University Press.
    It is commonly assumed that a virtual life would be less meaningful (perhaps even meaningless). As virtual reality technologies develop and become more integrated into our everyday lives, this poses a challenge for those that care about meaning in life. In this chapter, it is argued that the common assumption about meaninglessness and virtuality is mistaken. After clarifying the distinction between two different visions of virtual reality, four arguments are presented for thinking that meaning is possible in virtual reality. Following (...)
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  43. The nonhuman condition: Radical democracy through new materialist lenses.Hans Asenbaum, Amanda Machin, Jean-Paul Gagnon, Diana Leong, Melissa Orlie & James Louis Smith - 2023 - Contemporary Political Theory 22 (Online first):584-615.
    Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute political (...)
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  44. Application of Naive Bayes Model, SVM and Deep Learning Predicting.Martono Aris, Padeli Padeli & Sudaryono Sudaryono - 2023 - Cices (Cyberpreneurship Innovative and Creative Exact and Social Science) 9 (1):93-101.
    The college hopes that every semester students are able to pay tuition properly and smoothly. The hope is that the institution will be able to maintain monthly cash flow so that its operational and maintenance costs can be met. Therefore, this study was conducted to predict and fulfill the institution's cash-in from the method of paying tuition fees either by cash, installments, or sometimes late payments every semester. In predicting the method of paying tuition fees, using student profile data (name, (...)
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  45. A Machine That Knows Its Own Code.Samuel A. Alexander - 2014 - Studia Logica 102 (3):567-576.
    We construct a machine that knows its own code, at the price of not knowing its own factivity.
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  46. Organisms ≠ Machines.Daniel J. Nicholson - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):669-678.
    The machine conception of the organism (MCO) is one of the most pervasive notions in modern biology. However, it has not yet received much attention by philosophers of biology. The MCO has its origins in Cartesian natural philosophy, and it is based on the metaphorical redescription of the organism as a machine. In this paper I argue that although organisms and machines resemble each other in some basic respects, they are actually very different kinds of systems. I submit (...)
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  47. Common creativity.Karenleigh Anne Overmann - 2023 - In Linden J. Ball & Frédéric Vallée-Tourangeau (eds.), The Routledge International Handbook of Creative Cognition. Routledge. pp. 646-661.
    Creativity is often conceived in terms of insight, innovation, and invention realized through technical mastery and skill. Challenging this individualistic model are “inventions” like writing, something that surely gave no clue to the form it would ultimately take—script—or the ways in which it would reorganize behaviors and brains in the cognitive state known as literacy. Here writing is analyzed as a tool used collectively and collaboratively. Collective, collaborative use enabled the tool to become increasingly effective at eliciting specific behavioral (...)
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  48. Building machines that learn and think about morality.Christopher Burr & Geoff Keeling - 2018 - In Christopher Burr & Geoff Keeling (eds.), Proceedings of the Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018). Society for the Study of Artificial Intelligence and Simulation of Behaviour.
    Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also (...)
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  49. Explaining Creativity.Maria Kronfeldner - 2018 - In Berys Gaut & Matthew Kieran (eds.), Routledge Handbook on Creativity and Philosophy. Routledge. pp. 213-29.
    Creativity has often been declared, especially by philosophers, as the last frontier of science. The assumption is that it will defy explanation forever. I will defend two claims in order to oppose this assumption and to demystify creativity: (1) the perspective that creativity cannot be explained wrongly identifies creativity with what I shall call metaphysical freedom; (2) the Darwinian approach to creativity, a prominent naturalistic account of creativity, fails to give an explanation of (...), because it confuses conceptual issues with explanation. I will close with some remarks on the status and differences in some explanations available in contemporary cognitive science. (shrink)
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  50. Understanding Creativity: Affect Decision and Inference.Avijit Lahiri - manuscript
    In this essay we collect and put together a number of ideas relevant to the under- standing of the phenomenon of creativity, confining our considerations mostly to the domain of cognitive psychology while we will, on a few occasions, hint at neuropsy- chological underpinnings as well. In this, we will mostly focus on creativity in science, since creativity in other domains of human endeavor have common links with scientific creativity while differing in numerous other specific respects. (...)
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