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Towards a Computational Model of Consciousness: Global Abstraction Workspace
Abstract:We assume that conscious functions are implemented automatically. In other words that consciousness as well as the non-consciousness aspect of human thought, planning and perception, are produced by biologically adaptive algorithms. We propose that the mechanisms of consciousness can be produced using similar adaptive algorithms to those executed by the mechanism. In this paper, we present a computational model of consciousness, the ”Global Abstraction Workspace” which is an internal environmental modelling perceived as a multi-agent system. This system is able to evolve and generate new data and processes as well as actions in the environment.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339588Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1074
 Bernard J Baars. In the theater of consciousness: The workspace of the mind. Oxford University Press, 1997.
 Bernard J Baars and Stan Franklin. Consciousness is computational: The lida model of global workspace theory. International Journal of Machine Consciousness, 1(01):23–32, 2009.
 BJ Baars. A cognitive theory of consciousness. cambridge universitypress.
[anc, bjb, rnc](1993) how does a serial, integrated and very limited stream of consciousness emerge from a nervous system that is mostly unconscious, distributed, parallel and of enormous capacity? theoretical and experimental studies of consciousness. In Ciba Foundation Symposium, volume 174, page 282303, 1988.
 Ned Block. How many concepts of consciousness? Behavioral and brain sciences, 18(02):272–287, 1995.
 CCRG. Cognitive computing research group. http://ccrg.cs.memphis. edu/, 1994-2016.
 Antonio R Damasio. Sentiment mˆeme de soi (Le): Corps, ´emotions, conscience. Odile Jacob, 1999.
 Stanislas Dehaene. Le code de la conscience. Sciences. O. Jacob, Paris, 2014.
 Daniel C Dennett. Consciousness explained. Penguin UK, 1993.
 Sabah G´erard. CARAMEL : A computational model of natural language understanding using a parallel implementation. Actes ECAI, Stockholm, p. 563-565, 1993.
 Sabah G´erard. CARAMEL : A flexible model for interaction between the cognitive processes underlying natural language understanding. Actes Coling, Helsinki., 1993.
 Sabah G´erard. CARAMEL : Un syst`eme multi-experts pour le traitement automatique des langues, Mod`eles linguistiques. Fasc 1, p. 95-118., 1993.
 Douglas R Hofstadter, Melanie Mitchell, et al. The copycat project: A model of mental fluidity and analogy-making. Advances in connectionist and neural computation theory, 2(31-112):29–30, 1994.
 Ingo L¨utkebohle. The cognition and affect project. http://www.cs.bham. ac.uk/∼axs/cogaff.html/, 2004.
 Aaron Sloman. Varieties of affect and the cogaff architecture schema. In Proceedings of the AISB’01 symposium on emotions, cognition, and affective computing. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, 2001.
 Reid G Smith. The contract net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on computers, (12):1104–1113, 1980.
 Javier Snaider, Ryan McCall, and Stan Franklin. The lida framework as a general tool for agi. In Artificial General Intelligence, pages 133–142. Springer, 2011.