The Concept of Umwelt Overlap and its Application to Cooperative Action in Multi-Agent Systems
- 157 Downloads
The present paper stems from the biosemiotic modelling of individual artificial cognition proposed by Ferreira and Caldas (2012) but goes further by introducing the concept of Umwelt Overlap. The introduction of this concept is of fundamental importance making the present model closer to natural cognition. In fact cognition can only be viewed as a purely individual phenomenon for analytical purposes. In nature it always involves the crisscrossing of the spheres of action of those sharing the same environmental bubble. Plus, the incorporation of that concept is vital to understand the complex semiosis that sustains collective tissues, societies, regulating collective cognition and consequently cooperative action. The concept of Umwelt Overlap broadens the range of applicability of the previous model to several distinct domains allowing for example for its application to multi-agent cooperative autonomous systems. In this paper a Middle Size League RoboCup soccer team is used as an example of a possible application.
KeywordsCognitive architectures Semiosis of cognition Umwelt Innenwelt Umwelt Overlap Multi-agent systems Cooperative action
- Ahmad, A. & Lima, P. (2011). Multi-Robot Cooperative Object Tracking Based on Particle Filters, Proceedings of European Conference on Mobile Robots, September 7–9, 2011, Örebro, Sweden.Google Scholar
- Chang, C. H., Wang, S. C., & Wang, C. C. (2011). Vision-Based Cooperative Simultaneous Localization and Tracking, 2011 I.E. International Conference on Robotics and Automation, May 9–13, 2011, Shanghai, China.Google Scholar
- Detrain, C. & Deneubourg, J. L. (2006). Self-organized structures in a superorganism: do ants behave like molecules? Physics of Life Reviews, 3, 162–187.(available @ www.sciencedirect.com).
- Ferreira, M. I. A. (2007). On Meaning: The phenomenon of individuation and the definition of a world view. Ph.D thesis. Faculty of Letters. University of Lisbon, Lisbon, Portugal.Google Scholar
- Ferreira, M. I. A. & Caldas, M. G. (2012). Modelling Artificial Cognition in Biosemiotic Terms. Biosemiotics. doi: 10.1007/s12304-012-9159-z.
- Lima, P., Santos, P., Oliveira, R., Ahmad, A., & Santos, J. (2011). In R. S. Javier, E. Chown, & P. G. Ploeger (Eds.), Cooperative Localization Based on Visually Shared Objects, RoboCup 2010: Robot Soccer World Cup XIV—Lecture Notes in Computer Science (Vol. 6556/2011, pp. 350–361). Berlin/Heidelberg: Springer.CrossRefGoogle Scholar
- Maturana, H. R. (1978). Biology of language: The epistemology of reality. In G. Miller & E. Lenneberg (Eds.), Psychology and biology of language and thought. New York: Academic.Google Scholar
- Rocha, L. M. (2012). Complex Systema Modeling: Using Metaphors from Nature in Simulation and Scientific Models. Based on Rocha, L. M. (1999) BITS: Computer and Communications News. Computing Information and Communications Division. Los Alamos National Laboratory 1999.Google Scholar
- von Uexkull, J. (1909). Umwelt und Innenwelt der Tiere. Berlin: Springer.Google Scholar
- von Uexküll, J. (1934). A Stroll Through the Worlds of Animals and Men—a picture book of invisible worlds. In C.H. Schiller (Ed.), Instinctive Behaviour, the Development of a Modern Concept. New York: International Universities Press.Google Scholar