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Relevant bibliographies by topics / Computing consciousness

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Academic literature on the topic 'Computing consciousness'

Author: Grafiati

Published: 3 June 2025

Last updated: 22 June 2025

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Journal articles on the topic "Computing consciousness"

1

Triffet, T., and H. S. Green. "Consciousness: Computing the uncomputable." Mathematical and Computer Modelling 24, no. 3 (1996): 37–56. http://dx.doi.org/10.1016/0895-7177(96)00099-4.

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Wang, Everett X., Zhong Lin Wang, Shudong Zhou, Zhanyong Hong, and C. Wang. "Teletransportation paradox and quantum consciousness." Physics Essays 36, no. 3 (2023): 250–55. http://dx.doi.org/10.4006/0836-1398-36.3.250.

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Recent research suggests that the human brain may possess quantum computing capabilities, but the implications for consciousness remain unclear. This study investigates the role of quantum computing in accounting for the nature of consciousness using teletransportation thought experiments to transfer a person from one location to another. Two versions of the experiment are proposed using the brain as an apparatus, and the results are analyzed using classical and quantum computing principles. The findings suggest that classical computing principles alone cannot account for consciousness, and that quantum computing capabilities in the brain are necessary. Furthermore, the no-cloning theorem guarantees a unique copy of quantum states in the brain, resolving a teletransportation paradox proposed by Derek Parfit. These results suggest that quantum computing in the brain is crucial to understanding the nature of consciousness.

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Koruga, Djuro. "Ultimate computing: Biomolecular consciousness and nanotechnology." Biosystems 22, no. 1 (1988): 83–84. http://dx.doi.org/10.1016/0303-2647(88)90052-4.

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Bołtuć, Piotr. "Conscious AI at the Edge of Chaos." Journal of Artificial Intelligence and Consciousness 07, no. 01 (2020): 25–38. http://dx.doi.org/10.1142/s2705078520500010.

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The main problem for AI consciousness is to operate within the right kind of AI. We distinguish between the traditional computing (GOFAI), and the computing based on stochastic pattern optimization. The latter will be called here computing at the edge of chaos. Optimization of learning patterns, which is the gist of its success, often happens between the areas of too much repetitive order and those of hard to predict and control stochastic processes. This is to change the focus from the opposition of symbolic versus sub-symbolic computing; symbols can appear at different granularities and the hedge between The Physical Symbol System Hypothesis and neural nets seems no longer the most productive cut to make. Computing at the edge of chaos is promising for AGI, especially for AGI consciousness. The second problem for AI consciousness is to work with the right definitions of consciousness.

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Hagan, Edward A. "Memory Ireland: Computing Consciousness and Historical Coma." New Hibernia Review 14, no. 4 (2010): 129–33. http://dx.doi.org/10.1353/nhr.2010.a412028.

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Jena, Rabindra Ku, and D. G. Dey. "Green Computing." International Journal of Knowledge Society Research 2, no. 1 (2011): 61–70. http://dx.doi.org/10.4018/jksr.2011010105.

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Information technology (IT) is playing an increasingly important role in both business and individuals’ private lives. It is also consuming ever greater amounts of energy; therefore, it is a significant source of CO² emissions. Thus, environmental and energy conservation issues have gained attention in recent years. The reality of rising energy costs and their impact on international affairs coupled with the increased concern over the global warming climate crisis and other environmental issues have shifted the social and economic consciousness of modern society. This paper discusses different aspects of green computing and its impact in India.

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Albantakis, Larissa, Robert Prentner, and Ian Durham. "Computing the Integrated Information of a Quantum Mechanism." Entropy 25, no. 3 (2023): 449. http://dx.doi.org/10.3390/e25030449.

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Originally conceived as a theory of consciousness, integrated information theory (IIT) provides a theoretical framework intended to characterize the compositional causal information that a system, in its current state, specifies about itself. However, it remains to be determined whether IIT as a theory of consciousness is compatible with quantum mechanics as a theory of microphysics. Here, we present an extension of IIT’s latest formalism to evaluate the mechanism integrated information (φ) of a system subset to discrete, finite-dimensional quantum systems (e.g., quantum logic gates). To that end, we translate a recently developed, unique measure of intrinsic information into a density matrix formulation and extend the notion of conditional independence to accommodate quantum entanglement. The compositional nature of the IIT analysis might shed some light on the internal structure of composite quantum states and operators that cannot be obtained using standard information-theoretical analysis. Finally, our results should inform theoretical arguments about the link between consciousness, causation, and physics from the classical to the quantum.

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Morales-Chicas, Jessica, Mauricio Castillo, Ireri Bernal, Paloma Ramos, and Bianca Guzman. "Computing with Relevance and Purpose: A Review of Culturally Relevant Education in Computing." International Journal of Multicultural Education 21, no. 1 (2019): 125. http://dx.doi.org/10.18251/ijme.v21i1.1745.

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The purpose of the present review was to identify culturally responsive education (CRE) tools and strategies within K-12 computing education. A systematic literature review of studies on CRE across 20 years was conducted. A narrative synthesis was applied to code the final studies into six themes: sociopolitical consciousness raising, heritage culture through artifacts, vernacular culture, lived experiences, community connections, and personalization. These common themes in CRE can help empower and attend to the needs of marginalized students in technology education. Furthermore, the review serves as an important overview for researchers and educators attempting to achieve equity in computing education.

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Zhou, Zhenhua. "Emotional thinking as the foundation of consciousness in artificial intelligence." Cultures of Science 4, no. 3 (2021): 112–23. http://dx.doi.org/10.1177/20966083211052651.

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Current theories of artificial intelligence (AI) generally exclude human emotions. The idea at the core of such theories could be described as ‘cognition is computing’; that is, that human psychological and symbolic representations and the operations involved in structuring such representations in human thinking and intelligence can be converted by AI into a series of cognitive symbolic representations and calculations in a manner that simulates human intelligence. However, after decades of development, the cognitive computing doctrine has encountered many difficulties, both in theory and in practice; in particular, it is far from approaching real human intelligence. Real human intelligence runs through the whole process of the emotions. The core and motivation of rational thinking are derived from the emotions. Intelligence without emotion neither exists nor is meaningful. For example, the idea of ‘hot thinking’ proposed by Paul Thagard, a philosopher of cognitive science, discusses the mechanism of the emotions in human cognition and the thinking process. Through an analysis from the perspectives of cognitive neurology, cognitive psychology and social anthropology, this article notes that there may be a type of thinking that could be called ‘emotional thinking’. This type of thinking includes complex emotional factors during the cognitive processes. The term is used to refer to the capacity to process information and use emotions to integrate information in order to arrive at the right decisions and reactions. This type of thinking can be divided into two types according to the role of cognition: positive and negative emotional thinking. That division reflects opposite forces in the cognitive process. In the future, ‘emotional computing’ will cause an important acceleration in the development of AI consciousness. The foundation of AI consciousness is emotional computing based on the simulation of emotional thinking.

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Wang, Yingxu. "The Cognitive Mechanisms and Formal Models of Consciousness." International Journal of Cognitive Informatics and Natural Intelligence 6, no. 2 (2012): 23–40. http://dx.doi.org/10.4018/jcini.2012040102.

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Consciousness is the sense of self and the sign of life in natural intelligence. One of the profound myths in cognitive informatics, psychology, brain science, and computational intelligence is how consciousness is generated by physiological organs and neural networks in the bran. This paper presents a formal model and a cognitive process of consciousness in order to explain how abstract consciousness is generated and what its cognitive mechanisms are. The hierarchical levels of consciousness are explored from the facets of neurology, physiology, and computational intelligence. A rigorous mathematical model of consciousness is created that elaborates the nature of consciousness. The cognitive process of consciousness is formally described using denotational mathematics. It is recognized that consciousness is a set of real-time mental information about bodily and emotional status of an individual stored in the cerebellums known as the Conscious Status Memory (CSM) and is processed/interpreted by the thalamus. The abstract intelligence model of consciousness can be applied in cognitive informatics, cognitive computing, and computational intelligence toward the mimicry and simulation of human perception and awareness of the internal states, external environment, and their interactions in reflexive, perceptive, cognitive, and instructive intelligence.

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Dissertations / Theses on the topic "Computing consciousness"

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Menneer, Tamaryn Stable Ia. "Quantum artificial neural networks." Thesis, University of Exeter, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286530.

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Books on the topic "Computing consciousness"

1

Hameroff, Stuart R. Ultimate computing: Biomolecular consciousness and nanotechnology. North-Holland, 1987.

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Goertzel, Ben. Creating Internet Intelligence: Wild Computing, Distributed Digital Consciousness, and the Emerging Global Brain. Springer US, 2002.

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Cambria, Erik. Sentic Computing: Techniques, Tools, and Applications. Springer Netherlands, 2012.

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Niazi, Muaz A. Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods. Springer Netherlands, 2013.

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Greg, Andonian, Lasker G. E. 1935-, International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (10th : 1998 : Baden-Baden, Germany), eds. Advances in systems research and cybernetics: Consciousness--cognition--communication--intelli gence, patterns and forms of life, cognition systems research, language, dispositions, adaptation, emergence and representations, third order cybernetics, quantum theory and evolutionary biology, modeling aquatic ecological systems, architecture and cybernetics, transparency, ephemerality & tectonics in architectural design, poetics, color and kinetics: content & computing, digital-human interface in CAAD, computerized communication of design, a new approach to the examination of musical styles. International Institute for Advanced Studies in Systems Research and Cybernetics, 1999.

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6

Hameroff, S. R. Ultimate Computing: Biomolecular Consciousness and NanoTechnology. Elsevier Science & Technology Books, 2014.

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7

Unlocking Consciousness: Lessons from the Convergence of Computing and Cognitive Psychology. World Scientific Publishing Co Pte Ltd, 2018.

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Ross, Charles T. Unlocking Consciousness: Lessons from the Convergence of Computing and Cognitive Psychology. World Scientific Publishing UK Limited, 2018.

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9

Watson, Ian. The Universal Machine: From the Dawn of Computing to Digital Consciousness. Springer, 2012.

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10

The universal machine: From the dawn of computing to digital consciousness. Copernicus Books, 2012.

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Book chapters on the topic "Computing consciousness"

1

Papineau, D. "Confusions about Consciousness." In Perspectives in Neural Computing. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3427-5_10.

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Morgan, Rob. "Self-Consciousness." In Storytelling for Spatial Computing and Mixed Reality. CRC Press, 2024. http://dx.doi.org/10.1201/9781003379294-12.

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Cotterill, Rodney M. J., and Claus Nielsen. "Gamma Oscillations, Association and Consciousness." In Perspectives in Neural Computing. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1965-4_6.

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van Zon, Kees. "An Introduction to Machine Consciousness." In Intelligent Algorithms in Ambient and Biomedical Computing. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4995-1_4.

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Kumar, Reji. "How Does Consciousness Overcome Combinatorial Complexity?" In Advances in Intelligent Systems and Computing. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2135-7_19.

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Hillner, Matthias. "Time Consciousness in Relation to Emergent Typography." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20441-9_8.

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7

Bagchi, Susmit. "A Distributed Computational Model of State of Consciousness." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12286-1_24.

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Xu, Yangguang, Wei Ye, Xuebo Chen, and Qiubai Sun. "Group Safety Consciousness Reconstruction Based on the Inclusion Principle." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60591-3_7.

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Staszewski, Paweł, Piotr Woldan, and Sohrab Ferdowsi. "Mobile Fuzzy System for Detecting Loss of Consciousness and Epileptic Seizure." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19369-4_14.

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Bagchi, Susmit. "On the Convergence of Quantum and Distributed Computational Models of Consciousness." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19369-4_7.

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Conference papers on the topic "Computing consciousness"

1

Brenda, M., L. Franklin Telfer, S. Padma Kumar, V. Sakthi Balan, G. Sayee Vishal Vaibhav, and R. D. Gomathi. "Advanced Driver Consciousness Detection and Alert System using CNN." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723953.

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Hamdoun, Subhi Hammadi, Mehdi Muhemed Mool, Azhar Raheem Mohammed Al-Ani, et al. "Fog Computing Task Scheduling with Energy Consciousness for the Industrial Internet of Things." In 2024 36th Conference of Open Innovations Association (FRUCT). IEEE, 2024. http://dx.doi.org/10.23919/fruct64283.2024.10749894.

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Schwarz, Eric, and Daniel M. Dubois. "On the Nature of Consciousness—On Consciousness in Nature." In COMPUTING ANTICIPATORY SYSTEMS: CASYS ‘09: Ninth International Conference on Computing Anticipatory Systems. AIP, 2010. http://dx.doi.org/10.1063/1.3527171.

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Wang, Yu-Shin, Yuan-Yao Hsu, Wei-Lin Chen, Han Chen, and Rung-Huei Liang. "Craft Consciousness." In CHI '15: CHI Conference on Human Factors in Computing Systems. ACM, 2015. http://dx.doi.org/10.1145/2702613.2732803.

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Chmielarz, Witold, and Marek Zborowski. "CLOUD COMPUTING AND FOG COMPUTING IN POLISH STUDENTS' CONSCIOUSNESS." In 11th annual International Conference of Education, Research and Innovation. IATED, 2018. http://dx.doi.org/10.21125/iceri.2018.0265.

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Schwarz, Eric. "Is Consciousness Reality or Illusion ? A Non-Dualist Interpretation of Consciousness." In COMPUTING ANTICIPATORY SYSTEMS: CASYS'03 - Sixth International Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1787345.

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Xue, Yueai. "Connotation of Historical Consciousness." In 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/icemct-17.2017.300.

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Aleksander, Igor, F. R. Eng., and Daniel M. Dubois. "Neural Approaches to Machine Consciousness." In COMPUTING ANTICIPATORY SYSTEMS: CASYS’07—Eighth International Conference. AIP, 2008. http://dx.doi.org/10.1063/1.3020679.

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Murthy, V. K., and E. V. Krishnamurthy. "In silico Consciousness: The Goal of Ambient Intelligent Computing." In 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing. IEEE, 2009. http://dx.doi.org/10.1109/uic-atc.2009.7.

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Dubois, Daniel M., and Daniel M. Dubois. "Natural and Artificial Intelligence, Language, Consciousness, Emotion, and Anticipation." In COMPUTING ANTICIPATORY SYSTEMS: CASYS ‘09: Ninth International Conference on Computing Anticipatory Systems. AIP, 2010. http://dx.doi.org/10.1063/1.3527159.

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Reports on the topic "Computing consciousness"

1

Jefferson, Brian. Reviewing Information Technology, Surveillance, and Race in the US. Just Tech, Social Science Research Council, 2022. http://dx.doi.org/10.35650/jt.3033.d.2022.

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The past decade has been marked by a growing awareness of the potential harms of personal computing. This recent development was spurred by a surge of news reports, films, and studies on the unforeseen side effects of constantly using networked devices. As a result, the public has become increasingly aware of the cognitive, ideological, and psychological effects associated with the constant use of personal computing devices. Alongside these revelations, a growing chorus of activists, journalists, organizers, and scholars have turned attention to surveillance technology-related matters of a different kind—those related to the carceral state and border patrol. These efforts have sparked a shift in the public consciousness, from individual experiences of technology users to how technology is used to maintain social divisions. These studies show how the explosion of network devices not only changes society but also maintains longstanding divisions between social groups. This field review highlights key concepts and discussions on information technology, surveillance, carceral governance, and border patrol. Specifically, it explores the evolution of information communication technology and racial surveillance from the late nineteenth century until the present. The review concludes by exploring avenues for bringing these conversations into a transnational dialogue on surveillance, technology, and social inequality moving forward.

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