Publications
29 results found
Aleksander I, 2017, Machine Consciousness, Blackwell Companion to Consciousness, Editors: Velmans, Schneider
Aleksander I, Gamez D, 2011, Informational Theories of Consciousness: A Review and Extension, 4th Brain-inspired Cognitive Systems Conference (BICS 2010), Publisher: SPRINGER-VERLAG BERLIN, Pages: 139-147, ISSN: 0065-2598
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- Citations: 5
Aleksander I, Gamez D, 2011, Informational theories of consciousness: a review and extension., Adv Exp Med Biol, Vol: 718, Pages: 139-147, ISSN: 0065-2598
In recent years a number of people have suggested that there is a close link between conscious experience and the differentiation and integration of information in certain areas of the brain. The balance between differentiation and integration is often called information integration, and a number of algorithms for measuring it have been put forward, which can be used to make predictions about consciousness and to understand the relationships between neurons in a network. One of the key problems with the current information integration measures is that they take a lot of computer processing power, which limits their application to networks of around a dozen neurons. There are also more general issues about whether the current algorithms accurately reflect the consciousness associated with a system. This paper addresses these issues by exploring a new automata-based algorithm for the calculation of information integration. To benchmark different approaches we implemented the Balduzzi and Tononi algorithm as a plugin to the SpikeStream neural simulator, and used it to carry out some preliminary comparisons of the liveliness and Φ measures on simple four neuron networks.
Aleksander I, Morton H, 2008, Computational studies of consciousness, MODELS OF BRAIN AND MIND: PHYSICAL, COMPUTATIONAL AND PSYCHOLOGICAL APPROACHES, Vol: 168, Pages: 77-93, ISSN: 0079-6123
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- Citations: 6
Aleksander I, Morton H, 2007, Phenomenology and digital neural architectures, NEURAL NETWORKS, Vol: 20, Pages: 932-937, ISSN: 0893-6080
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- Citations: 7
Aleksander I, Morton H, 2007, Depictive Architectures for Synthetic Phenomenology, In Chella and Manzotti (Eds): Artificial Consciousness. Imprint Academic, (Invited), Pages: 30-45
Aleksander I, 2007, Machine Consciousness, in (eds Velmans and Schneider) The Blackwell Companion to Consciousness, Pages: 87-98, ISBN: 9781405160001
Aleksander I, 2007, A Formal Analysis of the Crick and Koch ‘Framework for Consciousness’
Aleksander I, Lahnstein M M, Lee, et al., 2007, Will and Emotions: A Machine Model that Shuns Illusions
Aleksander I, 2007, Neurocomputational Modeling of Consciousness: Where does one start and where does it lead?, MASCOTS Invited Paper, Vollendam
Aleksander I, Morton H, 2006, Phenomenology in computational models of consciousness, 1st International Symposium on Brain, Vision, and Artificial Intelligence, Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD, Pages: 785-796, ISSN: 0218-0014
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- Citations: 2
Aleksander I, Morton H, 2006, On Architectures for Synthetic Phenomenology, Pages: 16-28
Aleksander I, 2005, The world in my mind, my mind in the world: key mechanisms of consciousness in humans, animals and machines, ISBN: 9781845400217
Aleksander I, Morton H, 2005, Enacted Theories of Visual Awareness: A Neuromodelling Analysis., Lecture Notes in Computer Science 3704, Editors: al, Publisher: Springer 2005
Aleksander I, 2005, Machine consciousness, BOUNDARIES OF CONSCIOUSNESS: NEUROBIOLOGY AND NEUROPATHOLOGY, Vol: 150, Pages: 99-108, ISSN: 0079-6123
The work from several laboratories on the modeling of consciousness is reviewed. This ranges,. on one hand, from purely functional models where behavior is important and leads to an attribution of consciousness to, on the other hand, material work closely derived from the information about the anatomy of the brain. At the functional end of the spectrum, applications are described specifically directed at a job finding problem, where the person being served should not discern between being served by a conscious human or a machine. This employs an implementation of global workspace theories. At the material end, attempts at modeling attentional brain mechanisms, and basic biochemical processes in children are discussed. There are also general prescriptions for functional schemas that facilitate discussions for the presence of consciousness in computational systems and axiomatic structures that define necessary architectural features without which it would be difficult to represent sensations. Another distinction between these two approaches is whether one attempts to model phenomenology (material end) or not (functional end). The former is sometimes called "synthetic phenomenology." The upshot of this chapter is that studying consciousness through the design of machines is likely to have two major outcomes. The first is to provide a wide-ranging computational language to express the concept of consciousness. The second is to suggest a wide-ranging set of computational methods for building competent machinery that benefits from the flexibility of conscious representations.
Aleksander I, 2005, Machine consciousness, Progress in brain research, Vol 150. The boundaries of consciousness : neurobiology and neuropathology, Editors: Laureys, Oxford, Publisher: Elsevier, Pages: 99-108, ISBN: 9780444518514
Aleksander I, 2005, Reverse engineering the mind, Ingenia - the Journal of the Royal Academy of Engineering, Vol: 24, Pages: 18-23, ISSN: 1472-9768
Aleksander I, 2004, Advances in intelligent information technology: re-branding or progress towards conscious machines?, JOURNAL OF INFORMATION TECHNOLOGY, Vol: 19, Pages: 21-27, ISSN: 0268-3962
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- Citations: 4
Aleksander I, 2004, Emergence from brain architectures: a new cognitive science?, Cognitive Processing, Vol: 5, Pages: 10-14, ISSN: 1612-4782
Lockwood GG, Aleksander I, 2003, Predicting the behaviour of G-RAM networks, NEURAL NETWORKS, Vol: 16, Pages: 91-100, ISSN: 0893-6080
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- Citations: 7
Aleksander I, 2002, Neurocomputation In the Chinese Room, In eds Preston and Bishop,Views from the Chinese Room: 25 years after. OUP, Pages: 250-269
Aleksander I, 2002, Understanding information bit by bit, It must be beautiful: great equations of modern science, Editors: Farmelo, New York, Publisher: Granta, ISBN: 9781862074798
Aleksander I, 2001, The self 'out there', NATURE, Vol: 413, Pages: 23-23, ISSN: 0028-0836
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- Citations: 5
Aleksander I, Morton H, Dunmall B, 2001, Seeing is believing: depictive neuromodelling of visual awareness, Connectionist models of neurons, learning processes, and artificial intelligence, 6th international work-conference on artificial and natural neural networks, IWANN 2001 Granada, Spain, 13 - 15 June 2001, Publisher: Springer Verlag, Pages: 765-771
Aleksander I, 2001, Emergence in the biotica project, Biotica: art, emergence and artificial life, Editors: Brown, Faith, Aleksander, Macenzie, Publisher: RCA CRD Research, ISBN: 9781874175339
Aleksander I, Dunmall B, Axioms and tests for the presence of minimal consciousness in agents, JOURNAL OF CONSCIOUSNESS STUDIES, Vol: 10, Pages: 7-18, ISSN: 1355-8250
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- Citations: 49
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