Results for 'Brain Computer Interface'

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  1. Two Problems of Moral Luck for BrainComputer Interfaces.Daniel J. Miller - 2021 - Journal of Applied Philosophy 39 (2):266-281.
    Brain-computer interfaces (BCIs) are devices primarily intended to allow agents to use prosthetic body parts, wheelchairs, and other mechanisms by forming intentions or performing certain mental actions. In this paper I illustrate how the use of BCIs leads to two unique and unrecognized problems of moral luck. In short, it seems that agents who depend upon BCIs for bodily movement or the use of other mechanisms (henceforth “BCI-agents”) may end up deserving of blame and legal punishment more so (...)
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  2. Epistemological and phenomenological issues in the use of brain-computer interfaces.Richard Heersmink - 2011 - In C. Ess & R. Hagengruber (eds.), Proceedings of the International Association for Computing and Philosophy 2011 (pp. 98-102). MV-Wissenschaft.
    Brain-computer interfaces (BCIs) are an emerging and converging technology that translates the brain activity of its user into command signals for external devices, ranging from motorized wheelchairs, robotic hands, environmental control systems, and computer applications. In this paper I functionally decompose BCI systems and categorize BCI applications with similar functional properties into three categories, those with (1) motor, (2) virtual, and (3) linguistic applications. I then analyse the relationship between these distinct BCI applications and their users (...)
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  3. Ghost in the Machine: A Philosophical Analysis of the Relationship Between Brain-Computer Interface Applications and their Users.Richard Heersmink - 2009 - Dissertation, University of Twente.
    This Master’s thesis explores the relationship between Brain-Computer Interfaces (BCIs) and their human users from a functional, epistemological and phenomenological perspective. The analysis has four steps. I start out with a technical description of BCI systems in which I conceptually analyze different types of BCI applications. This results in the development of a taxonomy of applications which is the point of departure for further philosophical analysis. Thereafter, I explore the functional relationship between BCI applications and their users. That (...)
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  4. Managing the Ethical Dimensions of Brain-Computer Interfaces in eHealth: An SDLC-based Approach.Matthew E. Gladden - 2016 - In Demetris Vrontis, Yaakov Weber & Evangelos Tsoukatos (eds.), Proceedings of the 9th Annual EuroMed Academy of Business Conference: Innovation, Entrepreneurship and Digital Ecosystems (EUROMED 2016). EuroMed Press. pp. 889-902.
    A growing range of brain-computer interface (BCI) technologies is being employed for purposes of therapy and human augmentation. While much thought has been given to the ethical implications of such technologies at the ‘macro’ level of social policy and ‘micro’ level of individual users, little attention has been given to the unique ethical issues that arise during the process of incorporating BCIs into eHealth ecosystems. In this text a conceptual framework is developed that enables the operators of (...)
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  5. Data Mining the Brain to Decode the Mind.Daniel Weiskopf - forthcoming - In Neural Mechanisms: New Challenges in the Philosophy of Neuroscience.
    In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I (...)
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  6. Artificial Brains and Hybrid Minds.Paul Schweizer - 2017 - In Vincent C. Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin: Springer. pp. 81-91.
    The paper develops two related thought experiments exploring variations on an ‘animat’ theme. Animats are hybrid devices with both artificial and biological components. Traditionally, ‘components’ have been construed in concrete terms, as physical parts or constituent material structures. Many fascinating issues arise within this context of hybrid physical organization. However, within the context of functional/computational theories of mentality, demarcations based purely on material structure are unduly narrow. It is abstract functional structure which does the key work in characterizing the respective (...)
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  7. Controlled and uncontrolled English for ontology editing.Brian Donohue, Douglas Kutach, Robert Ganger, Ron Rudnicki, Tien Pham, Geeth de Mel, Dave Braines & Barry Smith - 2015 - Semantic Technology for Intelligence, Defense and Security 1523:74-81.
    Ontologies formally represent reality in a way that limits ambiguity and facilitates automated reasoning and data fusion, but is often daunting to the non-technical user. Thus, many researchers have endeavored to hide the formal syntax and semantics of ontologies behind the constructs of Controlled Natural Languages (CNLs), which retain the formal properties of ontologies while simultaneously presenting that information in a comprehensible natural language format. In this paper, we build upon previous work in this field by evaluating prospects of implementing (...)
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  8. BCI-Mediated Behavior, Moral Luck, and Punishment.Daniel J. Miller - 2020 - American Journal of Bioethics Neuroscience 11 (1):72-74.
    An ongoing debate in the philosophy of action concerns the prevalence of moral luck: instances in which an agent’s moral responsibility is due, at least in part, to factors beyond his control. I point to a unique problem of moral luck for agents who depend upon Brain Computer Interfaces (BCIs) for bodily movement. BCIs may misrecognize a voluntarily formed distal intention (e.g., a plan to commit some illicit act in the future) as a control command to perform some (...)
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  9.  90
    Social Implications of Big Data and Fog Computing.Jeremy Horne - 2018 - International Journal of Fog Computing 1 (2):50.
    In the last half century we have gone from storing data on 5-1/4 inch floppy diskettes to cloud and now fog computing. But one should ask why so much data is being collected. Part of the answer is simple in light of scientific projects but why is there so much data on us? Then, we ask about its “interface” through fog computing. Such questions prompt this chapter on the philosophy of big data and fog computing. After some background on (...)
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  10. AI as IA: The use and abuse of artificial intelligence (AI) for human enhancement through intellectual augmentation (IA).Alexandre Erler & Vincent C. Müller - 2023 - In Fabrice Jotterand & Marcello Ienca (eds.), The Routledge Handbook of the Ethics of Human Enhancement. Routledge. pp. 187-199.
    This paper offers an overview of the prospects and ethics of using AI to achieve human enhancement, and more broadly what we call intellectual augmentation (IA). After explaining the central notions of human enhancement, IA, and AI, we discuss the state of the art in terms of the main technologies for IA, with or without brain-computer interfaces. Given this picture, we discuss potential ethical problems, namely inadequate performance, safety, coercion and manipulation, privacy, cognitive liberty, authenticity, and fairness in (...)
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  11. Varieties of (Extended) Thought Manipulation.J. Adam Carter - 2020 - In Mark Blitz & Christoph Bublitz (eds.), The Future of Freedom of Thought: Liberty, Technology, and Neuroscience. Palgrave Macmillan.
    Our understanding of what exactly needs protected against in order to safeguard a plausible construal of our ‘freedom of thought’ is changing. And this is because the recent influx of cognitive offloading and outsourcing—and the fast-evolving technologies that enable this—generate radical new possibilities for freedom-of-thought violating thought manipulation. This paper does three main things. First, I briefly overview how recent thinking in the philosophy of mind and cognitive science recognises—contrary to traditional Cartesian ‘internalist’ assumptions—ways in which our cognitive faculties, and (...)
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  12. Brain Control Interfaces in the coming age of Trans-humans: Philosophical and Regulatory Mappings.Aayush Shankar - manuscript
    This article discusses the Philosophical and Regulatory mappings of Brain Control Interfaces in the coming age of Trans-humans. The author combines perspectives from Material Engagement theory, Don Ihde’s post-phenomenological perspective and Veerback’s cyborg intentionality on human-technology relations and juxtaposes this post-phenomenological hybrid-intentionality on upcoming BCI such as Neuralink. Taking the hybrid-intentionality as point of departure, the author then develops Regulatory approaches and principles in context of the normative harms borne out of such transfiguration while also highlighting these key harms.
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  13. El Impacto del Ruido Blanco Binaural Con Oscilaciones de 100 a 750Hz en la Memoria de Trabajo Visual a Corto Plazo y la Reactividad de Ondas Cerebrales Alfa y Beta.Cesar Rommel Salas - 2018 - Quantitative Biology.
    De acuerdo algunos investigadores el ruido es concebido típicamente como factor perjudicial en el desempeño cognitivo afectando la percepción, toma de decisiones y la función motora. No obstante, en estudios recientes se asocia al ruido blanco con la concentración y la calma, por lo tanto, esta investigación busca establecer el impacto del ruido blanco binaural en el desempeño de la memoria de trabajo y visual a corto plazo, la actividad cerebral alfa – beta y la atención – meditación, mediante el (...)
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  14. Varieties of artifacts: Embodied, perceptual, cognitive, and affective.Richard Heersmink - 2021 - Topics in Cognitive Science (4):1-24.
    The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design and use of artifacts. First, based on their functional properties, I identify four categories of artifacts co-opted by the embodied mind, namely (1) embodied artifacts, (2) perceptual artifacts, (3) cognitive artifacts, and (4) affective artifacts. These categories can overlap and (...)
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  15. Intellectual autonomy, epistemic dependence and cognitive enhancement.J. Adam Carter - 2017 - Synthese:1-25.
    Intellectual autonomy has long been identified as an epistemic virtue, one that has been championed influentially by Kant, Hume and Emerson. Manifesting intellectual autonomy, at least, in a virtuous way, does not require that we form our beliefs in cognitive isolation. Rather, as Roberts and Wood note, intellectually virtuous autonomy involves reliance and outsourcing to an appropriate extent, while at the same time maintaining intellectual self-direction. In this essay, I want to investigate the ramifications for intellectual autonomy of a particular (...)
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  16. Mapping the Dimensions of Agency: The Narrative as Unifying Mechanism.Przemysław Zawadzki - 2021 - American Journal of Bioethics Neuroscience 12 (2-3):191-193.
    Schönau et al. (2021) identified four dimensions of agency (authenticity, privacy, self–trust, and responsibility) that may be influenced by the use of neurotechnologies, such as deep brain stimulation (DBS) or braincomputer–interfaces (BCI). The Agency Map they proposed depicts the role of each dimension, and indicates how they may interact. The authors emphasize that a strength of their approach is that it allows to capture the agency dimensions that were previously seen as disconnected and independent as intricately interwoven (...)
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  17. Mensch, gut siehst du aus! Ethische Betrachtung der heutigen Körperoptimierung: Balancing Autonomie und Fremdbestimmung.Anna Puzio - 2023 - In Sebastian Kistler, Anna Puzio, Anna-Maria Riedl & Werner Veith (eds.), Digitale Transformationen der Gesellschaft. Sozialethische Perspektiven auf den technologischen Wandel. pp. 73-93.
    Ob im Fitnessstudio, in der Mode oder bei der Ernährung – heute wird ständig Körperoptimierung betrieben. Durch neue technologische Entwicklungen wie Neuroimplantate und Brain-Computer-Interfaces (neurologisches Enhancement) wird die Körperoptimierung auf eine neue Ebene gehoben. Mittels Pharmazeutika sollen Kognition (kognitives Enhancement) oder moralische Verhaltensweisen (moralisches Enhancement) verbessert werden, Prothesen werden in den Körper integriert und es werden ästhetisch-chirurgische Eingriffe vorgenommen. 2019 wurden insgesamt 983.432 ästhetische Eingriffe in Deutschland unternommen.1 Im Alltag sind Wearables wie Smartwatches mit ihren Fitnessprogrammen und vielfältige (...)
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  18. Neuromedia, Cognitive Offloading, and Intellectual Perseverance.Cody Turner - 2022 - Synthese 200 (1):1-26.
    This paper engages in what might be called anticipatory virtue epistemology, as it anticipates some virtue epistemological risks related to a near-future version of brain-computer interface technology that Michael Lynch (2014) calls 'neuromedia.' I analyze how neuromedia is poised to negatively affect the intellectual character of agents, focusing specifically on the virtue of intellectual perseverance, which involves a disposition to mentally persist in the face of challenges towards the realization of one’s intellectual goals. First, I present and (...)
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  19. Human Augmentation and the Age of the Transhuman.James Hughes - 2018 - In Tony J. Prescott, Nathan Lepora & Paul F. M. J. Verschure (eds.), Living Machines: A Handbook of Research in Biomimetic and Biohybrid Systems. Oxford University Press.
    Human augmentation is discussed in three axes: the technological means, the ability being augmented, and the social systems that will be affected. The technological augmentations considered range from exocortical information and communication systems, to pharmaceuticals, tissue and genetic engineering, and prosthetic limbs and organs, to eventually nanomedical robotics, brain-computer interfaces and cognitive prostheses. These technologies are mapped onto the capabilities which we are in the process of enabling and augmenting, which include extending longevity and physical, sensory and cognitive (...)
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  20. Our Tactile Brain Computed World and Platonic Brain Web Wikipedia.Jahan N. Schad (ed.) - 2016 - Charleston, USA: CreateSpace.
    It is not likely that we will ever convincingly know how and why we came to be on this planet; of course, this has never prevented inquisitive minds from pushing the frontiers of understanding and discovery further. Our origin is the subject of scientific theories and continuous inquiries with no end in sight, as the shells of related complexities are getting much harder to crack. Paraphrasing philosopher and historian Will Durant, a very few people are getting to know more and (...)
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  21. Artificial Intelligence in Life Extension: from Deep Learning to Superintelligence.Alexey Turchin, Denkenberger David, Zhila Alice, Markov Sergey & Batin Mikhail - 2017 - Informatica 41:401.
    In this paper, we focus on the most efficacious AI applications for life extension and anti-aging at three expected stages of AI development: narrow AI, AGI and superintelligence. First, we overview the existing research and commercial work performed by a select number of startups and academic projects. We find that at the current stage of “narrow” AI, the most promising areas for life extension are geroprotector-combination discovery, detection of aging biomarkers, and personalized anti-aging therapy. These advances could help currently living (...)
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  22. نحو أخلاقيات للتكنولوجيا العصبية.Salah Osman - manuscript
    نعني بالتكنولوجيا العصبية كافة التقنيات المُطَّورة لفهم الدماغ وتصور عملياته، وكذلك التحكم في وظائفه بهدف توجيهها أو إصلاحها أو تحسينها. وعلى الرغم من أن تخطيط كهربية الدماغ يرجع إلى ما يقرب من قرن من الزمان، إلا أن أول اختراق كبير في هذا المجال قد تحقق في العقود الأخيرة مع بدء فحص الدماغ باستخدام التصوير بالرنين المغناطيسي، حيث سمحت هذه التقنية للباحثين، من بين أمور أخرى، بتحديد مناطق الدماغ التي يتم تنشيطها أو تعطيلها أثناء أداء مهام معينة، ومن ثم تطرقت التكنولوجيا (...)
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  23. Ethical Analysis on the Application of Neurotechnology for Human Augmentation in Physicians and Surgeons.Soaad Hossain & Syed Ishtiaque Ahmed - 2021 - In Kohei Arai, Supriya Kapoor & Rahul Bhatia (eds.), Proceedings of the Future Technologies Conference (FTC) 2020. Switzerland: pp. 78-99.
    With the shortage of physicians and surgeons and increase in demand worldwide due to situations such as the COVID-19 pandemic, there is a growing interest in finding solutions to help address the problem. A solution to this problem would be to use neurotechnology to provide them augmented cognition, senses and action for optimal diagnosis and treatment. Consequently, doing so can negatively impact them and others. We argue that applying neurotechnology for human enhancement in physicians and surgeons can cause injustices, and (...)
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  24.  90
    Olfactory Virtual Reality (OVR) for Wellbeing and Reduction of Stress, Anxiety and Pain.David@Davidtomasicom Tomasi - 2020 - Journal of Medical Research and Health Sciences 4 (3):1212-1221.
    Background: As part of a consistent effort to examine and provide integrative medical approaches to the therapeutic offering for psychophysical health, this study investigates the utilization of Olfactory Virtual Reality (OVR) in an inpatient psychiatry unit, more specifically in the Shepardson 3 Inpatient Psychiatry Unit at the University of Vermont Medical Center, in Burlington, VT, USA. Objectives: The purpose of this protocol is to explore the therapeutic value of olfactory virtual reality (OVR) in the above described population, and to collect (...)
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  25. The problem of AI identity.Soenke Ziesche & Roman V. Yampolskiy - manuscript
    The problem of personal identity is a longstanding philosophical topic albeit without final consensus. In this article the somewhat similar problem of AI identity is discussed, which has not gained much traction yet, although this investigation is increasingly relevant for different fields, such as ownership issues, personhood of AI, AI welfare, brain–machine interfaces, the distinction between singletons and multi-agent systems as well as to potentially support finding a solution to the problem of personal identity. The AI identity problem analyses (...)
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  26. Brain-Inspired Conscious Computing Architecture.Wlodzislaw Duch - 2005 - Journal of Mind and Behavior 26 (1-2):1-22.
    What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to claim being (...)
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  27. Why think that the brain is not a computer?Marcin Miłkowski - 2016 - APA Newsletter on Philosophy and Computers 16 (2):22-28.
    In this paper, I review the objections against the claim that brains are computers, or, to be precise, information-processing mechanisms. By showing that practically all the popular objections are either based on uncharitable interpretation of the claim, or simply wrong, I argue that the claim is likely to be true, relevant to contemporary cognitive (neuro)science, and non-trivial.
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  28. Ethics in e-trust and e-trustworthiness: the case of direct computer-patient interfaces.Philip J. Nickel - 2011 - Ethics and Information Technology 13 (2):355-363.
    In this paper, I examine the ethics of e - trust and e - trustworthiness in the context of health care, looking at direct computer-patient interfaces (DCPIs), information systems that provide medical information, diagnosis, advice, consenting and/or treatment directly to patients without clinicians as intermediaries. Designers, manufacturers and deployers of such systems have an ethical obligation to provide evidence of their trustworthiness to users. My argument for this claim is based on evidentialism about trust and trustworthiness: the idea that (...)
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  29. Why Build a Virtual Brain? Large-Scale Neural Simulations as Jump Start for Cognitive Computing.Matteo Colombo - 2016 - Journal of Experimental and Theoretical Artificial Intelligence.
    Despite the impressive amount of financial resources recently invested in carrying out large-scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One idea is that from designing, building, and running a large-scale neural simulation, scientists acquire knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. It has been claimed that this knowledge may usher in a new era of neuromorphic, cognitive computing systems. This study (...)
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  30. From Analog to Digital Computing: Is Homo sapiens’ Brain on Its Way to Become a Turing Machine?Antoine Danchin & André A. Fenton - 2022 - Frontiers in Ecology and Evolution 10:796413.
    The abstract basis of modern computation is the formal description of a finite state machine, the Universal Turing Machine, based on manipulation of integers and logic symbols. In this contribution to the discourse on the computer-brain analogy, we discuss the extent to which analog computing, as performed by the mammalian brain, is like and unlike the digital computing of Universal Turing Machines. We begin with ordinary reality being a permanent dialog between continuous and discontinuous worlds. So it (...)
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  31. Consciousness is Quantum Computed Beyond the Limits of the Brain: A Perspective Conceived from Cases Studied for Hydranencephaly.Contzen Pereira - unknown
    Hydranencephaly is a developmental malady, where the cerebral hemispheres of the brain are reduced partly or entirely too membranous sacs filled with cerebrospinal fluid. Infants with this malady are presumed to have reduced life expectancy with a survival of weeks to few years and which solely depends on care and fostering of these individuals. During their life span these individuals demonstrate behaviours that are termed “vegetative” by neuroscientists but can be comparable to the state of being “aware” or “conscious”. (...)
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  32. Autonomy and Machine Learning as Risk Factors at the Interface of Nuclear Weapons, Computers and People.S. M. Amadae & Shahar Avin - 2019 - In Vincent Boulanin (ed.), The Impact of Artificial Intelligence on Strategic Stability and Nuclear Risk: Euro-Atlantic Perspectives. Stockholm, Sweden: pp. 105-118.
    This article assesses how autonomy and machine learning impact the existential risk of nuclear war. It situates the problem of cyber security, which proceeds by stealth, within the larger context of nuclear deterrence, which is effective when it functions with transparency and credibility. Cyber vulnerabilities poses new weaknesses to the strategic stability provided by nuclear deterrence. This article offers best practices for the use of computer and information technologies integrated into nuclear weapons systems. Focusing on nuclear command and control, (...)
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  33. Computing and philosophy: Selected papers from IACAP 2014.Vincent C. Müller (ed.) - 2016 - Cham: Springer.
    This volume offers very selected papers from the 2014 conference of the “International Association for Computing and Philosophy” (IACAP) - a conference tradition of 28 years. - - - Table of Contents - 0 Vincent C. Müller: - Editorial - 1) Philosophy of computing - 1 Çem Bozsahin: - What is a computational constraint? - 2 Joe Dewhurst: - Computing Mechanisms and Autopoietic Systems - 3 Vincenzo Fano, Pierluigi Graziani, Roberto Macrelli and Gino Tarozzi: - Are Gandy Machines really local? (...)
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  34. Philosophy and Science, the Darwinian-Evolved Computational Brain, a Non-Recursive Super-Turing Machine & Our Inner-World-Producing Organ.Hermann G. W. Burchard - 2016 - Open Journal of Philosophy 6 (1):13-28.
    Recent advances in neuroscience lead to a wider realm for philosophy to include the science of the Darwinian-evolved computational brain, our inner world producing organ, a non-recursive super- Turing machine combining 100B synapsing-neuron DNA-computers based on the genetic code. The whole system is a logos machine offering a world map for global context, essential for our intentional grasp of opportunities. We start from the observable contrast between the chaotic universe vs. our orderly inner world, the noumenal cosmos. So far, (...)
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  35. Recentering neuroscience on behavior: The interface between brain and environment is a privileged level of control of neural activity.Igor Branchi - 2022 - Neuroscience and Biobehavioral Reviews 138.
    Despite the huge and constant progress in the molecular and cellular neuroscience fields, our capability to understand brain alterations and treat mental illness is still limited. Therefore, a paradigm shift able to overcome such limitation is warranted. Behavior and the associated mental states are the interface between the central nervous system and the living environment. Since, in any system, the interface is a key regulator of system organization, behavior is proposed here as a unique and privileged level (...)
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  36. Cognitive Computation sans Representation.Paul Schweizer - 2017 - In Thomas Powers (ed.), Philosophy and Computing: Essays in epistemology, philosophy of mind, logic, and ethics,. Cham, Switzerland: Springer. pp. 65-84.
    The Computational Theory of Mind (CTM) holds that cognitive processes are essentially computational, and hence computation provides the scientific key to explaining mentality. The Representational Theory of Mind (RTM) holds that representational content is the key feature in distinguishing mental from non-mental systems. I argue that there is a deep incompatibility between these two theoretical frameworks, and that the acceptance of CTM provides strong grounds for rejecting RTM. The focal point of the incompatibility is the fact that representational content is (...)
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  37. Computing in the nick of time.J. Brendan Ritchie & Colin Klein - 2023 - Ratio 36 (3):169-179.
    The medium‐independence of computational descriptions has shaped common conceptions of computational explanation. So long as our goal is to explain how a system successfully carries out its computations, then we only need to describe the abstract series of operations that achieve the desired input–output mapping, however they may be implemented. It is argued that this abstract conception of computational explanation cannot be applied to so‐called real‐time computing systems, in which meeting temporal deadlines imposed by the systems with which a device (...)
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  38. The Cognitive Basis of Computation: Putting Computation in Its Place.Daniel D. Hutto, Erik Myin, Anco Peeters & Farid Zahnoun - 2018 - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge. pp. 272-282.
    The mainstream view in cognitive science is that computation lies at the basis of and explains cognition. Our analysis reveals that there is no compelling evidence or argument for thinking that brains compute. It makes the case for inverting the explanatory order proposed by the computational basis of cognition thesis. We give reasons to reverse the polarity of standard thinking on this topic, and ask how it is possible that computation, natural and artificial, might be based on cognition and not (...)
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  39. Human-Aided Artificial Intelligence: Or, How to Run Large Computations in Human Brains? Towards a Media Sociology of Machine Learning.Rainer Mühlhoff - 2019 - New Media and Society 1.
    Today, artificial intelligence, especially machine learning, is structurally dependent on human participation. Technologies such as Deep Learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than simulating human intelligence, DL-based AIs capture human cognitive abilities, so they are hybrid human-machine apparatuses. From a perspective of media philosophy and social-theoretical critique, I (...)
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  40. The computational and the representational language-of-thought hypotheses.David J. Chalmers - 2023 - Behavioral and Brain Sciences 46:e269.
    There are two versions of the language-of-thought hypothesis (LOT): Representational LOT (roughly, structured representation), introduced by Ockham, and computational LOT (roughly, symbolic computation) introduced by Fodor. Like many others, I oppose the latter but not the former. Quilty-Dunn et al. defend representational LOT, but they do not defend the strong computational LOT thesis central to the classical-connectionist debate.
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  41. Computer ethics beyond mere compliance.Richard Volkman - 2015 - Journal of Information, Communication and Ethics in Society 13 (3/4):176-189.
    If computer ethics is to constitute a real engagement with industry and society that cultivates a genuine sensitivity to ethical concerns in the creation, development, and implementation of technologies, a genuine sensitivity that stands in marked contrast to ethics as “mere compliance,” then computer ethics will have to consist in issuing an open invitation to inquiry, since going beyond mere compliance requires a sensitivity to the importance of what we care about, and inquiry has the potential to leverage (...)
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  42. Brain in the Shell. Assessing the Stakes and the Transformative Potential of the Human Brain Project.Philipp Haueis & Jan Slaby - 2015 - In Neuroscience and Critique. London: pp. 117–140.
    The “Human Brain Project” (HBP) is a large-scale European neuroscience and information communication technology (ICT) project that has been a matter of heated controversy since its inception. With its aim to simulate the entire human brain with the help of supercomputing technologies, the HBP plans to fundamentally change neuroscientific research practice, medical diagnosis, and eventually the use of computers itself. Its controversial nature and its potential impacts render the HBP a subject of crucial importance for critical studies of (...)
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  43. Neural Computation of Surface Border Ownership and Relative Surface Depth from Ambiguous Contrast Inputs.Birgitta Dresp-Langley & Stephen Grossberg - 2016 - Frontiers in Psychology 7.
    The segregation of image parts into foreground and background is an important aspect of the neural computation of 3D scene perception. To achieve such segregation, the brain needs information about border ownership; that is, the belongingness of a contour to a specific surface represented in the image. This article presents psychophysical data derived from 3D percepts of figure and ground that were generated by presenting 2D images composed of spatially disjoint shapes that pointed inward or outward relative to the (...)
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  44. Just consequentialism and computing.James H. Moor - 1999 - Ethics and Information Technology 1 (1):61-65.
    Computer and information ethics, as well as other fields of applied ethics, need ethical theories which coherently unify deontological and consequentialist aspects of ethical analysis. The proposed theory of just consequentialism emphasizes consequences of policies within the constraints of justice. This makes just consequentialism a practical and theoretically sound approach to ethical problems of computer and information ethics.
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  45. Brains in Vats? Don't Bother!Peter Baumann - 2019 - Episteme 16 (2):186-199.
    Contemporary discussions of epistemological skepticism - the view that we do not and cannot know anything about the world around us - focus very much on a certain kind of skeptical argument involving a skeptical scenario (a situation familiar from Descartes’ First Meditation). According to the argument, knowing some ordinary proposition about the world (one we usually take ourselves to know) requires knowing we are not in some such skeptical scenario SK; however, since we cannot know that we are not (...)
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  46. Computation, perception, and mind.Jerome A. Feldman - 2022 - Behavioral and Brain Sciences 45.
    Advances in behavioral and brain sciences have engendered wide ranging efforts to help understand consciousness. The target article suggests that abstract computational models are ill-advised. This commentary broadens the discussion to include mysteries of subjective experience that are inconsistent with current neuroscience. It also discusses progress being made through demystifying specific cases and pursuing evolutionary considerations.
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  47. Brain electrical traits of logical validity.F. Salto - 2021 - Scientific Reports 11 (7892).
    Neuroscience has studied deductive reasoning over the last 20 years under the assumption that deductive inferences are not only de jure but also de facto distinct from other forms of inference. The objective of this research is to verify if logically valid deductions leave any cerebral electrical trait that is distinct from the trait left by non-valid deductions. 23 subjects with an average age of 20.35 years were registered with MEG and placed into a two conditions paradigm (100 trials for (...)
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  48. Computational capacity of pyramidal neurons in the cerebral cortex.Danko D. Georgiev, Stefan K. Kolev, Eliahu Cohen & James F. Glazebrook - 2020 - Brain Research 1748:147069.
    The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the underlying functional specializations, for input or output of neural information, respectively. For a proper assessment of the computational capacity of pyramidal neurons, we have analyzed an extensive dataset of three-dimensional digital reconstructions from the NeuroMorphoOrg database, and quantified basic dendritic or axonal morphometric measures in different regions and layers of (...)
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  49. What is morphological computation? On how the body contributes to cognition and control.Vincent C. Müller & Matej Hoffmann - 2017 - Artificial Life 23 (1):1-24.
    The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology (...)
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  50. 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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