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Murray Shanahan
Imperial College of Science and Technology
  1.  39
    The Entropic Brain: A Theory of Conscious States Informed by Neuroimaging Research with Psychedelic Drugs.Robin L. Carhart-Harris, Robert Leech, Peter J. Hellyer, Murray Shanahan, Amanda Feilding, Enzo Tagliazucchi, Dante R. Chialvo & David Nutt - 2014 - Frontiers in Human Neuroscience 8.
  2. Embodiment and the Inner Life: Cognition and Consciousness in the Space of Possible Minds.Murray Shanahan - 2010 - Oxford University Press.
  3.  86
    The Frame Problem.Murray Shanahan - 2008 - Stanford Encyclopedia of Philosophy.
  4.  15
    Artificial Intelligence and the Common Sense of Animals.Murray Shanahan, Matthew Crosby, Benjamin Beyret & Lucy Cheke - 2020 - Trends in Cognitive Sciences 24 (11):862-872.
  5.  29
    Subject Index to Volume 29.Robert L. Goldstone, Steven A. Sloman, David A. Lagnado, Mark Steyvers, Joshua B. Tenenbaum, Saskia Jaarsveld, Cees van Leeuwen, Murray Shanahan, Terry Dartnall & Simon Dennis - 2005 - Cognitive Science 29 (1):1093-1096.
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  6. Applying Global Workspace Theory to the Frame Problem.Murray Shanahan & Bernard Baars - 2005 - Cognition 98 (2):157-176.
  7.  74
    A Cognitive Architecture That Combines Internal Simulation with a Global Workspace.Murray Shanahan - 2006 - Consciousness and Cognition 15 (2):433-449.
    This paper proposes a brain-inspired cognitive architecture that incorporates approximations to the concepts of consciousness, imagination, and emotion. To emulate the empirically established cognitive efficacy of conscious as opposed to non-conscious information processing in the mammalian brain, the architecture adopts a model of information flow from global workspace theory. Cognitive functions such as anticipation and planning are realised through internal simulation of interaction with the environment. Action selection, in both actual and internally simulated interaction with the environment, is mediated by (...)
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  8.  39
    Global Workspace Theory Emerges Unscathed.Murray Shanahan & Bernard Baars - 2007 - Behavioral and Brain Sciences 30 (5-6):524-525.
    Our aim in this reply is to defend Global Workspace theory (GWT) from the challenge of Block's article. We argue that Block's article relies on an outdated and imprecise concept of access, and perpetuates a common misunderstanding of GWT that conflates the global workspace with working memory. In the light of the relevant clarifications, Block's conclusion turns out to be unwarranted, and the basic tenets of GWT emerge unscathed.
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  9.  4
    Artificial Intelligence and the Common Sense of Animals.Murray Shanahan, Matthew Crosby, Benjamin Beyret & Lucy Cheke - 2021 - Trends in Cognitive Sciences 25 (2):172.
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  10.  19
    Perception as Abduction: Turning Sensor Data Into Meaningful Representation.Murray Shanahan - 2005 - Cognitive Science 29 (1):103-134.
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  11.  43
    Global Access, Embodiment, and the Conscious Subject.Murray Shanahan - 2005 - Journal of Consciousness Studies 12 (12):46-66.
    The objectives of this article are twofold. First, by denying the dualism inherent in attempts to load metaphysical significance on the inner/outer distinction, it defends the view that scientific investigation can approach consciousness in itself, and is not somehow restricted in scope to the outward manifestations of a private and hidden realm. Second, it provisionally endorses the central tenets of global workspace theory, and recommends them as a possible basis for the sort of scientific understanding of consciousness thus legitimised. However, (...)
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  12.  16
    A Spiking Neuron Model of Cortical Broadcast and Competition.Murray Shanahan - 2008 - Consciousness and Cognition 17 (1):288-303.
    This paper presents a computer model of cortical broadcast and competition based on spiking neurons and inspired by the hypothesis of a global neuronal workspace underlying conscious information processing in the human brain. In the model, the hypothesised workspace is realised by a collection of recurrently inter-connected regions capable of sustaining and disseminating a reverberating spatial pattern of activation. At the same time, the workspace remains susceptible to new patterns arriving from outlying cortical populations. Competition among these cortical populations for (...)
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  13. A Circumscriptive Calculus of Events.Murray Shanahan - 1995 - Artificial Intelligence 77 (2):249-284.
  14.  3
    An Attempt to Formalise a Non-Trivial Benchmark Problem in Common Sense Reasoning.Murray Shanahan - 2004 - Artificial Intelligence 153 (1-2):141-165.
  15.  5
    Direct Human-AI Comparison in the Animal-AI Environment.Konstantinos Voudouris, Matthew Crosby, Benjamin Beyret, José Hernández-Orallo, Murray Shanahan, Marta Halina & Lucy G. Cheke - 2022 - Frontiers in Psychology 13.
    Artificial Intelligence is making rapid and remarkable progress in the development of more sophisticated and powerful systems. However, the acknowledgement of several problems with modern machine learning approaches has prompted a shift in AI benchmarking away from task-oriented testing towards ability-oriented testing, in which AI systems are tested on their capacity to solve certain kinds of novel problems. The Animal-AI Environment is one such benchmark which aims to apply the ability-oriented testing used in comparative psychology to AI systems. Here, we (...)
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  16. Default Reasoning About Spatial Occupancy.Murray Shanahan - 1995 - Artificial Intelligence 74 (1):147-163.
  17.  47
    Review of "Consciousness and Robot Sentience" by Pentti Haikonen. [REVIEW]Murray Shanahan - 2014 - International Journal of Machine Consciousness 6 (1):63-65.
    Murray Shanahan, Int. J. Mach. Conscious., 06, 63 (2014). DOI: 10.1142/S1793843014400101.
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  18.  35
    Embodiment and the Inner Life: A Response to My Reviewers.Murray Shanahan - 2011 - International Journal of Machine Consciousness 3 (02):379-382.
  19.  20
    Satori Before Singularity.Murray Shanahan - 2012 - Journal of Consciousness Studies 19 (7-8):7-8.
    According to the singularity hypothesis, rapid and accelerating technological progress will in due course lead to the creation of a human-level artificial intelligence capable of designing a successor artificial intelligence of significantly greater cognitive prowess, and this will inaugurate a series of increasingly super-intelligent machines. But how much sense can we make of the idea of a being whose cognitive architecture is qualitatively superior to our own? This article argues that one fundamental limitation of human cognitive architecture is an inbuilt (...)
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  20.  3
    M. Shanahan, Solving the Frame Problem.Murray Shanahan - 2000 - Artificial Intelligence 123 (1-2):275.
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  21. Folk Learning and Naive Physics.Murray Shanahan - 1996 - In Andy Clark & Peter Millican (eds.), Connectionism, Concepts, and Folk Psychology: The Legacy of Alan Turing, Volume 2. Clarendon Press.
     
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  22. Folk Learning and Naive Physics.Murray Shanahan - 1999 - In Andy Clark & Peter Millican (eds.), Connectionism, Concepts, and Folk Psychology: The Legacy of Alan Turing, Volume Ii. Clarendon Press.
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  23.  5
    Supplementary Note on “A Spiking Neuron Model of Cortical Broadcast and Competition”.Murray Shanahan - 2008 - Consciousness and Cognition 17 (1):304-306.