Abstract
Mind model consciousness and memory (CAM) is a biologically inspired mind model, which is a general framework for human-level intelligent systems. Consciousness module plays very important role in mind model CAM. This paper presents architecture of machine consciousness containing awareness, attention, motivation, metacognition, introspective learning and global workspace modules. The proposed machine consciousness will be applied in cyborg intelligence for action planning.
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References
Aleksander, I.: Machine consciousness. In: Velmans, M., Schneider, S. (eds.) The Blackwell Companion to Consciousness, pp. 87–98 (2007). ISBN:9781405160001
Baars, B.J.: A Cognitive Theory of Consciousness. Cambridge University Press, New York (1988). Available from University Microfilm, Ann Arbor, MI, USA
Baars, B.J., Edelman, D.E.: Consciousness, biology and quantum hypotheses. Phys. Life Rev. 9, 285–294 (2012)
Bach, J.: Principles of Synthetic Intelligence–An Architecture of Motivated Cognition. Oxford University Press, Oxford (2009)
Bach, J.: Modeling motivation in MicroPsi 2. Artif. Gen. Intell. 2015, 3–13 (2015)
Chalmers, D.J.: The conscious mind: In: Search of a Fundamental Theory. Oxford University Press, New York (1996)
Crick, F.: The Astonishing Hypothesis. Scribner, New York (1994)
Dong, D., Franklin, S.: Modeling sensorimotor learning in LIDA using a dynamic learning rate. Biol. Inspired Cogn. Archit. 14, 1–9 (2015). doi:10.1016/j.bica.2015.09.005
Edelman, G.M.: Biochemistry and the sciences of recognition. J. Biol. Chem. 279, 7361–7369 (2004)
Farber, I.B., Churchland, P.S.: Consciousness and the neurosciences: philosophical and theoretical issues. In: Gazzaniga, M.S. (ed.) The Cognitive Neurosciences, pp. 1295–1306. MIT Press, Cambridge (1995)
Franklin, S., Madl, T., D’Mello, S., Snaider, J.: LIDA: a systems-level architecture for cognition, emotion, and learning. IEEE Trans. Auton. Mental Dev. 6(1), 19–41 (2014)
Ma, G., Yang, X., Zhang, B., Qi, B., Shi, Z.: An environment visual awareness approach in cognitive model ABGP. In: 27th IEEE International Conference on Tools with Artificial Intelligence, pp. 744–751 (2015)
Maslow, A.H.: Motivation and Personality. Addison-Wesley, Boston (1954). 1970, 1987
Mook, D.G.: Motivation: The Organization of Action. W.W. Norton and Company Inc, New York (1987)
Penrose, R.: The Emperor’s New Mind. Oxford University Press, Oxford (1989)
Shi, Z.: Intelligence Science. World Scientific Publishing Co., Singapore (2012)
Shi, Z.: CAM is a General Framework of Brain-inspired Computing. Invited speaker. World Congress of Robotics, Shenyang, China (2015)
Shi, Z.: Mind Computation. World Scientific Publishing Co., Singapore (2017)
Shi, Z., Yue, J., Ma, G.: Visual Awareness in Mind Model CAM. Cognitive 2014, Venice, Italy, pp. 262–268 (2014)
Shi, Z., Yue, J., Ma, G., Yang, X.: CCF-based awareness in agent model ABGP. In: Dillon, T. (ed.) IFIP AI 2015. IAICT, vol. 465, pp. 98–107. Springer, Cham (2015). doi:10.1007/978-3-319-25261-2_9
Shi, Z., Ma, G., Wang, S., Li, J.: Brain-machine collaboration for cyborg intelligence. In: Shi, Z., Vadera, S., Li, G. (eds.) IIP 2016. IAICT, vol. 486, pp. 256–266. Springer, Cham (2016). doi:10.1007/978-3-319-48390-0_26
Tononi, G.: Consciousness as integrated information: a provisional manifesto. Biol. Bull. 215, 216–242 (2008)
Acknowledgements
This work is supported by the National Program on Key Basic Research Project (973) (No. 2013CB329502), National Natural Science Foundation of China (No. 61035003, 61202212), National Science and Technology Support Program (2012BA107B02).
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Shi, Z., Ma, G., Li, J. (2017). Machine Consciousness of Mind Model CAM. In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_2
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DOI: https://doi.org/10.1007/978-3-319-62698-7_2
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