Abstract
The computational paradigm in Cognitive Science, which the AGI approach revives, provides a powerful methodology of examining human information processing by testing assumptions in computer simulations, and enables technical applications with human-like capabilities. Nevertheless, intensive interdisciplinary collaboration and the development of a holistic and integrated model remain ongoing challenges. This includes the consideration of the basis of rational cognition, in particular the significance of unconscious and affective processes in the human mind. We take these issues into consideration and integrate them into a holistic and integrated functional model of the human mind, implemented as an agent’s decision unit and evaluated in an Artificial Life simulation using an interdisciplinary methodology.
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References
Bach, J.: A motivational system for cognitive AI. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds.) AGI 2011. LNCS, vol. 6830, pp. 232–242. Springer, Heidelberg (2011)
Bargh, J.A., Chartrand, T.L.: The unbearable automaticity of being. American Psychologist 54(7), 462–479 (1999)
Damasio, A.: Looking for Spinoza: Joy, Sorrow, and the Feeling Brain. Harvest Books, Washington (2003)
Vernon, D., Metta, G., Sandini, G.: A survey of artificial cognitive systems: Implications for the autonomous development of mental capabilities in computational agents. IEEE Transactions on Evolutionary Computation 11, 151–180 (2007)
Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: Research issues and challenges. Cognitive Systems Research 10(2), 141–160 (2009)
Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychological Review 111(4), 1036–1060 (2004)
Atkinson, R.C., Shiffrin, R.M.: Human memory: A proposed system and its control processes. In: The Psychology of Learning and Motivation, vol. 2, pp. 89–195. Academic Press, New York (1968)
Newell, A., Simon, H.A.: Computer science as empirical inquiry: symbols and search. Commun. ACM 19(3), 113–126 (1976)
Newell, A.: Unified Theories of Cognition. Harvard Univ. Press (1994)
Turnbull, D.G., Chewar, C.M., McCrickard, D.S.: Are cognitive architectures mature enough to evaluate notification systems? In: 2003 International Conference on Software Engineering Research and Practice (SERP 2003), Las Vegas NV (2003)
Bratman, M.: Intention, Plans, and Practical Reason. Harvard University Press (1987)
Gottifredi, S., Tucaty, M., Corbatta, D., Garcia, A.J., Simari, G.R.: A BDI architecture for high level robot deliberation. Inteligencia Artificial 46, 74–83 (2010)
Wendler, J., Hannebauer, M., Burkhard, H.-D., Myritz, H., Sander, G., Meinert, T.: BDI design principles and cooperative implementation in roboCup. In: Veloso, M.M., Pagello, E., Kitano, H. (eds.) RoboCup 1999. LNCS (LNAI), vol. 1856, pp. 531–541. Springer, Heidelberg (2000)
Shanahan, M., Baars, B.: Applying global workspace theory to the frame problem. Cognition 98(2), 157–176 (2005)
Sloman, A., Chrisley, R.: More things than are dreamt of in your biology: Information-processing in biologically inspired robots. Cognitive Systems Reasearch 6(2), 145–174 (2005)
Faghihi, U., Franklin, S.: The lida model as a foundational architecture for agi. In: Theoretical Foundations of Artificial General Intelligence, pp. 103–121. Springer (2012)
Franklin, S., Ramamurthy, U.: Motivations, values and emotions: 3 sides of the same coin. In: Proceedings of the Sixth International Workshop on Epigenetic Robotics, Paris, France, vol. (128), pp. 41–48. Lund University Cognitive Studies (September 2006)
Solms, M.: What is the ‘Mind’? A Neuro-Psychoanalytical Approach. In: Dietrich, D., Fodor, G., Zucker, G., Bruckner, D. (eds.) Simulating the Mind, pp. 115–122. Springer, Vienna (2009)
Dietrich, D., Fodor, G., Zucker, G., Bruckner, D.: Simulating the Mind A Technical Neuropsychoanalytical Approach. In: Proceedings of the 1st ENF - Emulating the Mind, 2007 Conference, Vienna (2009)
Eagle, M.N.: From Classical to Contemporary Psychoanalysis, A Critique and Integration. Routledge, Taylor and Francis Group, LLC (2011)
Nilsson, N.: Teleo-reactive programs for agent control. arXiv preprint cs/9401101 (1994)
Schaat, S., Doblhammer, K., Wendt, A., Gelbard, F., Herret, L., Bruckner, D.: A Psychoanalytically-Inspired Motivational and Emotional System for Autonomous Agents. In: Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, pp. 6648–6653 (2013)
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Schaat, S., Wendt, A., Jakubec, M., Gelbard, F., Herret, L., Dietrich, D. (2014). ARS: An AGI Agent Architecture. In: Goertzel, B., Orseau, L., Snaider, J. (eds) Artificial General Intelligence. AGI 2014. Lecture Notes in Computer Science(), vol 8598. Springer, Cham. https://doi.org/10.1007/978-3-319-09274-4_15
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DOI: https://doi.org/10.1007/978-3-319-09274-4_15
Publisher Name: Springer, Cham
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