The emergence of communication by evolving dynamical systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4095 LNAI, Issue , 2006, Pages 777-788

  Wischmann, Steffen ^a   Pasemann, Frank ^b  

^a Bernstein Center for Computational Neuroscience   (Germany)

^b FRAUNHOFER IAIS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; DYNAMIC PROGRAMMING; EVOLUTIONARY ALGORITHMS; INTERACTIVE COMPUTER SYSTEMS; RECURRENT NEURAL NETWORKS; ROBOTICS;

EVOLUTIONARY ROBOTICS; MULTI-ROBOTIC SYSTEMS;

COMMUNICATION SYSTEMS;

EID: 33749666034     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840541_64     Document Type: Conference Paper

References (26)

1. Port, R., van Gelder, T.: Mind as Motion. MIT Press (1995)
2. Thelen, E., Smith, L.: A Dynamic Systems Approach to the Development of Cognition and Action. MIT Press (1994)
3. Pasemann, F.: Neuromodules: A Dynamical Systems Approach to Brain Modellling. In: Supercomputing in Brain Research: From Tomography to Neural Networks. World Scientific (1995) 331-347
4. Beer, R.D.: The dynamics of active categorical perception in an evolved model agent. Adaptive Behavior 11(4) (2003) 209-243
5. van Duijn, M., Keijzer, F., Franken, D.: Principles of minimal cognition. Adaptive Behavior 14(2) (2006) in press
6. Maturana, H.R., Varela, F.J.: The Tree of Knowledge: The Biological Roots of Human Understanding, rev. edn. Shambhala (1992)
7. Nolfi, S., Floreano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. MIT Press (2000)
8. Harvey, I., Di Paolo, E.A., Wood, R., Quinn, M., Tuci, E.: Evolutionary robotics: A new scientific tool for studying cognition. Artificial Life 11(1-2) (2005) 79-98
9. Langton, C.: Artificial Life: An Overview. MIT Press (1995)
10. Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press (1999)
11. Pasemann, F.: Complex dynamics and the structure of small neural networks. Network: Computation in Neural Systems 13(2) (2002) 195-216
12. MacLennan: Synthetic ecology, an approach to the study of communication. In Langton, C., Taylor, C., Farmer, J., Rasmussen, S., eds.: Proc. Artificial Life II, Addision-Wesley (1991)
13. Werner, G., Dyer. D.: Evolution of communication in artificial organisms. In Langton, C., Taylor, C., Farmer, J., Rasmussen, S., eds.: Proc. Artificial Life II, Addision-Wesley (1991)
14. Quinn, M., Smith, L., Mayley, G., Husbands, P.: Evolving controllers for a homogeneous system of physical robots: Structured cooperation with minimal sensors. Philosophical Transactions of the Royal Society of London, Series A: Mathematical, Physical and Engineering Sciences 361(1811) (2003) 2321-2344
15. Marocco, D., Nolfi, S.: Emergence of communication in teams of embodied and situated agents. In: Proc. of the 6th Int. Conference on the Evolution of Language. (2006)
16. Wischmann, S., Hülse, M., Knabe, J., Pasemann, F.: Synchronization of internal neural rhythms in multi-robotic systems. Adaptive Behavior 14(2) (2006) in press
17. Pasemann, F.: Dynamics of a single model neuron. International Journal of Bifurcation and Chaos 2 (1993) 271-278
18. Hülse, M., Wischmann, S., Pasemann, F.: Structure and function of evolved neurocontrollers for autonomous robots. Connection Science 16(4) (2004) 249-266
19. Dieckmann, U.: Coevolution as an autonomous learning strategy for neuromodules. In: Supercomputing in Brain Research: From Tomography to Neural Networks. World Scientific (1995) 427-432
20. Gammaitoni, L., Hänggi, P., Jung, P., Marchesoni, F.: Stochastic resonance. Reviews of Modern Physics 70(1) (1998) 223-287
21. Di Paolo, E.A.: Organismically-Inspired Robotics: Homeostatic Adaptation and Teleology Beyond the Closed Sensorimotor Loop. In: Dynamical Systems Approach to Embodiment and Sociality. Advanced Knowledge International (2003) 19-42
22. Beer, R.D.: Toward the evolution of dynamical neural networks for minimally cognitive behavior. In: From Animals to Animats 4: Proc. of the 4th Int. Conference on Simulation of Adaptive Behavior. (1996) 421-429
23. Beer, R.D.: Arches and stones in cognitive architecture. Adaptive Behavior 11(4) (2003) 299-305
24. Camazine, S., Deneubourg, J.L., Franks, N.R., Sneyd, J., Theraulaz, G., Bonabeau, E.: Self-Organization in Biological Systems. Princeton University Press (2001)
25. Strogatz, S.H., Stewart, I.: Coupled oscillators and biological synchronization. Scientific American 269(6) (1993) 102-109
26. Bays, P.M., Flanagan, J.R., Wolpert, D.M.: Attenuation of self-generated tactile sensations is predictive, not postdictive. PLoS Biology 4(2) (2006)