Abstract
Small World and Scale Free network properties characterize many real complex phenomena. We assume that low level connectivity with such topological properties, e.g., anatomical or functional connectivity in brains, is compulsory to achieve high level cognitive functionality, as language. The study of these network properties provides tools to approach different issues in behavior based Artificial Intelligence (AI) that usually have been ill defined, e.g., complexity and autonomy. In this paper, we propose a model in which situated agents evolve knowledge networks holding both Small World and Scale Free properties. Experimental results in the context of Pragmatic Games, elucidate some required conditions to obtain the expected network properties when performing complex learning.
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References
Albert, R., Jeong, H., Barabási, A.-L.: The diameter of the World Wide web. Nature 401, 130–131 (1999)
Albert, R., Barabási, A.-L.: Statistical Mechanics of Complex Networks. Reviews of Modern Physics 74, 47 (2002)
Barabási, A.-L., Albert, R.: Emergence of scaling in random networks. Science 286, 509–512 (1999)
Barabási, A.-L.: Linked: The New Science of Networks. Perseus (2002)
Barabási, A.-L., et al.: On the topology of the scientific collaboration networks. Physica A 311, 590–614 (2002)
Brooks, R.A.: Cambrian Intelligence: The early history of the New AI. MIT Press, Cambridge (1999)
Collier, J.: Autonomy and Process Closure as the basis for functionality. In: Chandler, J.L.R., Van der Vijver, G. (eds.) Annals of the New York Academy of Sciences, New York, USA, vol. 901, pp. 280–290 (2000)
de la Mora-Basáñez, C.R., Gesherson, C., García-Vega, V.A.: Representation development and behavior modifiers. In: Lemaître, C., Reyes, C.A., González, J.A. (eds.) IBERAMIA 2004. LNCS (LNAI), vol. 3315, pp. 504–513. Springer, Heidelberg (2004)
Dorner, D., Hille, K.: Artificial souls: Motivated emotional robots. In: IEEE Conference Proceedings, International Conference on Systems, Man, and Cybernetics; Intelligent Systems for the 21st Century, Vancouver, Canada, vol. 4, pp. 3828–3832 (1995)
Eguiluz, V.M., et al.: Scale-free brain functional networks. Phys. Rev. Letters 92, 018102 (2005)
Ferrer-i-Cancho, R., Sole, R.V.: The small world of human language. Proceedings of The Royal Society of London, Series B, Biological Sciences 268(1482), 2261–2265 (2001)
Jeong, H., et al.: The large-scale organization of metabolic networks. Nature 407, 651–654 (2000)
Lederberg, J.: The Meaning of Epigenetics. The Scientist 15(18), 6 (2001)
Levenson, J.M., Sweatt, D.: Epigenetic mechanisms in memory formation. Nature 6, 109–119 (2005)
Mcintyre, A., Kaplan, F., Steels, L.: Crucial Factors in the Origins of Word- Meaning. In: Wray, A. (ed.) The Transition to Language, pp. 252–271. Oxford University Press, Oxford (2002)
Milo, R., et al.: Network Motifs: Simple Building Blocks of Complex Networks. Science 298, 824–827 (2002)
Milo, R., et al.: Superfamilies of evolved and Designed Networks. Science 303, 1538–1542 (2004)
Newman, M.E.J.: The structure and function of complex networks. SIAM Review 45(2), 167–256 (2003)
Prince, C.G.: Introduction: The Second International Workshop on Epigenetic Robotics, Lund University Cognitive Studies 94, Lund, Sweden (2002)
Scheutz, M.: The Evolution of Simple Affective States in Multi-Agent Environments. In: Proceedings of AAAI Fall Symposium 2001. AAAI Press, USA (2001)
Smithers, T.: Taking Eliminative Materialism Seriously: A Methodology for Autonomous Systems Research. In: Varela, F.J., Bourgine, P. (eds.) Toward a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, pp. 31–40. MIT Press/Bradford Book (1992)
Sole, R.V., et al.: Language Networks: their structure, function and evolution, Santa Fe Institute Working Paper 05-12-042, Santa Fe, CA., USA (2006)
Steels, L., Brooks, R.: The Artificial Life route to Artificial Intelligence: Building situated embodied agents. Lawrence Erlbaum Ass. (1995)
Steels, L.: Self-organizing vocabularies. In: Langton, V.C., Shimohara, T. (eds.) Proceedings of Alife, Nara Japan, pp. 179–184 (1996)
Sporns, O., et al.: Organization, development and function of complex brain networks. Trends in Cognitive Sciences 8, 418–425 (2004)
Watts, D.: Small-Worlds. The dynamics of networks between order and randomness. Princeton Studies in Complexity. Princeton University Press, USA (1999)
Ziemke, T.: Are Robots Embodied? In: Proceedings of the First International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies 85 Lund, Sweden (2001)
Zlatev, J., Balkenius, C.: Introduction: Why ’epigenteic robotics’? In: Proceedings of the First International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies 85, Lund, Sweden, pp. 1–4 (2001)
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de la Mora-Basáñez, C.R., Guerra-Hernández, A., Steels, L. (2006). Does Complex Learning Require Complex Connectivity?. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds) Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. IBERAMIA SBIA 2006 2006. Lecture Notes in Computer Science(), vol 4140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11874850_61
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DOI: https://doi.org/10.1007/11874850_61
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