HOME   ::   Back to the Paper   ::   References

Nolfi, S. (2005) Emergence of communication in embodied agents: co-adapting communicative and non-communicative behaviours. Connection Science, 17(3-4):231--248.

References (may not be complete)  [Original format]  [Sort by year]  [Sort by author]  [Sort by citations]

Ackley, D.E., & Littman, M.L. (1991). Interaction between learning and evolution. In C.G. Langton et. al (eds.) Proceedings of the Second Conference on Artificial Life. Addison-Wesley: Reading, MA.

Google

Baldassarre G., Nolfi S. & Parisi D. (2002). Evolving mobile robots able to display collective behaviours. In C.K. Hemelrijk (ed.) Proceedings of the International Workshop on Self- Organisation and Evolution of Social Behaviour. Zurich, Switzerland: Swiss Federal Institute of Technology.

Google

Baldassarre G., Nolfi S., Parisi D. (2003). Evolving mobile robots able to display collective behavior. Artificial Life, 9: 255-267.

Google

Baldwin J.M. (1896). A new factor in evolution. American Naturalist, 30:441-451.

Google

Batali, J. (1995). Small signaling systems can evolve in the absence of benefit to the information sender. Unpublished manuscript.

Google UIUC

Beer, R.D. (2003). The dynamics of active categorical perception in an evolved model agent. Adaptive Behavior, 11(4):209-243.

Google

Billard A. (2000) Learning motor skills by imitation: a biologically inspired robotic model. Cybernetics & Systems, 32, 1-2, 155-193.

Google

Billard, A. and Dautenhahn, K. (1999) Experiments in learning by imitation - grounding and the use of communication in robotic agents. Adaptive Behavior, 7 (3/4): 415-434.

Google UIUC

Bongard, J.C. & Pfeifer R. (2003) Evolving complete agents using artificial ontogeny. In F. Hara & R. Pfeifer, (Eds.), Morpho-functional Machines: The New Species (Designing Embodied Intelligence). Berlin: Springer-Verlag.

Google

Cangelosi A (2001) Evolution of communication and language using signals, symbols and words. IEEE Transactions in Evolutionary Computation, 5(2): 93-101

Google UIUC

Cangelosi A & Parisi D (1998) The emergence of a `language' in an evolving population of neural networks. Connection Science, 10: 83-97

Google UIUC

Cangelosi A., Parisi D. (2001). How nouns and verbs differentially affect the behavior of artificial organisms. In J.D. Moore & K. Stenning (Eds.), Proceedings of the 23rd Annual Conference of the Cognitive Science Society, London: Lawrence Erlbaum Associates, 170-175

Google UIUC

Cangelosi A, Parisi D. (Eds.) (2002). Simulating the Evolution of Language. London: Springer- Verlag

Google UIUC

Castelfranchi C. (In preparation). When Doing is Saying - The Theory of Behavioral Implicit Communication.

Google

Clark A. and Grush R. (1999). Towards a Cognitive Robotics. Adaptive Behavior, 7 (1), 5-16.

Google

Denaro D. & Parisi D. (1996). Cultural evolution in a population of neural networks In M. Marinaro & R. Tagliaferri (Eds), Proceedings of Neural Nets Wirn-96. New York: Springer, 100-111.

Google

De Croon G., Nolfi S., Postma E.O. (in press), Toward pro-active embodied agents: On the importance of neural mechanisms suitable to process information in time. In D. Braha, A. Minai, Y. Bar-Yam (Eds.) Complex Engineering Systems, Perseus Books Groups Press.

Google

Di Paolo, E. A.. (1997). An investigation into the evolution of communication, Adaptive Behavior 6:2:285-324.

Google UIUC

Di Paolo, E. A. (2000). Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents. Adaptive Behavior 8:1. 25-46.

Google UIUC

Floreano, D. and Urzelai, J. (2001) Evolution of Plastic Control Networks. Autonomous Robots, 11: 311-317.

Google

Gers F., Schraudolph N., Schmidhuber J. (2002). Learning precise timing with LSTM recurrent networks. Journal of Machine Learning Research 3:115-143.

Google

Haynes, T., and Sen, S. (1996a). Co-adaptation in a team. International Journal of Computational Intelligence and Organizations, vol. 1(4):1-20. MIT Press. Cambridge, MA, USA.

Google

Haynes, T., and Sen, S. (1996b). Evolving behavioral strategies in predators and prey. In, Lecture Notes in Computer Science: Adaptation and Learning in Multi-Agent Systems, editors: Weiss, G., and Sen, S., pages 113-126. Springer-Verlag, Berlin.

Google

Harvey I., Husband I. & Cliff D. (1994) Seeing the light: artificial evolution, real vision. In D. Cliff, P. Husband, J-A Meyer & S. Wilson (Eds.), From Animals to Animats 3, Proceedings of the Third International Conference on Simulation of Adaptive Behavior. Cambridge, MA: MIT Press/Bradford Books.

Google

Iizuka H. and Ikegami T. (2003a). Adaptive Coupling and Intersubjectivity in Simulated Turn- Taking Behaviours. In Banzahf et al. (Eds.), Proceedings of ECAL 03, Dortmund: Springer Verlag.

Google

Iizuka H. and Ikegami T. (2003b). Simulating Turn-taking Behaviors with Coupled Dynamical Recognizers. In R.K. Standish, M.A. Bedau and H.A. Abbass (Eds.), MIT, Proceedings of Artificial Life VIII, Cambridge, MA: MIT Press.

Google

Iizuka H. and Ikegami T. (in press). Simulating autonomous coupling in discrimination of light frequencies. Connection Science.

Google

Kirby S. (2001). Spontaneous evolution of linguistic structure: An iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolutionary Computation and Cognitive Science, 5(2): 102-110.

Google UIUC

Kirby S. (2002). Natural Language from Artificial Life. Artificial Life, 8(2):185--215.

Google UIUC

Lindblom J. & Ziemke T. (2003). Social situatedness of natural and artificial intelligence: Vygotsky and beyond. Adaptive Behavior, 11 (2): 79-96.

Google

MacLennan B. J. & Burghardt G. M. (1994). Synthetic ethology and the evolution of cooperative communication. Adaptive Behavior. 2(2):161-188.

Google UIUC

Marocco D., Cangelosi A., Nolfi S. (2003), The emergence of communication in evolutionary robots. Philosophical Transactions of the Royal Society London - A, 361: 2397-2421.

Google UIUC

Nolfi S., Marocco D. (submitted). Emergence of communication in embodied agents evolved for the ability to solve a collective navigation problem.

Google

Mirolli, M. and Parisi, D. (2004). Language, Altruism and Docility: How Cultural Learning Can Favour Language Evolution. In J. Pollack et al. (Eds.) Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems. Cambridge, MA: MIT Press.

Google

Mirolli M. & Parisi D. (in preparation). Cognitive, Genetic and Cultural pressure towards the Evolution of a Good Communication System. Technical Report, Institute of Cognitive Science and Technologies, CNR, Roma, Italy.

Google

Noble J. & Cliff D. (1996). On simulating the evolution of communication. In P. Maes, M. Mataric, J-A Meyer, J. Pollack & S.W. Wilson (Eds.) From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior. Cambridge, MA: The MIT Press / Bradford Books.

Google UIUC

Noble, J., Paolo, E. A. D., and Bullock, S. (2002). Adaptive Factors in the Evolution of Signaling Systems. In A Cangelosi and D. Parisi (Eds.), Simulating the Evolution of Language. London: Springer Verlag.

Google UIUC

Nolfi S. & Floreano D. (1998 copyright 1999). Co-evolving predator and prey robots: Do 'arm races' arise in artificial evolution? Artificial Life, 4 (4): 311-335.

Google

Nolfi S. & Floreano D. (1999). Learning and Evolution, Autonomous Robots, 7(1): 89-113.

Google

Nolfi S. (2002a). Power and limits of reactive agents. Neurocomputing, 49:119-145.

Google

Nolfi S. (2002b). Evolving robots able to self-localize in the environment: The importance of viewing cognition as the result of processes occurring at different time scales. Connection Science (14) 3:231-244.

Google

Nolfi S. (2002c). Evolution and Learning in neural networks. In M. A.Arbib (Ed.), Handbook of brain theory and neural networks, Second Edition. Cambridge, MA: MIT Press.

Google

Nolfi S. (in press). Categories formation in self-organizing embodied agents. In C. Lefebvre (Ed.), Handbook of Categorization in Cognitive Science. Elsevier.

Google

Nolfi S., Marocco D. (2002). Active perception: A sensorimotor account of object categorization. In B. Hallam, D. Floreano, J. Hallam, G. Hayes, J-A. Meyer (eds.) From Animals to Animats 7: Proceedings of the VII International Conference on Simulation of Adaptive Behavior. Cambridge, MA: MIT Press.

Google

Nolfi S. & Parisi D. (1997). Learning to adapt to changing environments in evolving neural networks. Adaptive Behavior, (5) 1:75-98,

Google

Nolfi S. & Tani J. (1999). Extracting regularities in space and time through a cascade of prediction networks: The case of a mobile robot navigating in a structured environment, Connection Science, (11) 2:129-152.

Google

Oliphant M. (1996). The dilemma of Saussurean communication. Byosystems, 37(1-2): 31-38.

Google UIUC

Quinn, M. (2001). Evolving communication without dedicated communication channels. In Kelemen, J. and Sosik, P. (editors) Advances in Artificial Life: Sixth European Conference on Artificial Life (ECAL 2001). Springer Verlag.

Google UIUC

Quinn M., Smith L., Mayley G. and Husbands P. (2003) 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 361:2321-2344.

Google

Scheier, C., Pfeifer R. & Kunyioshi Y. (1998). Embedded neural networks: exploiting constraints. Neural Networks 11:1551-1596.

Google

Sims K. (1995). Evolving 3D morphology and behavior by competition. Artificial Life, 1:353-372.

Google

Steels L. (1999). The Talking Heads Experiment, Antwerpen, Laboratorium. Limited Pre-edition.

Google

Steels L. (2003a) Evolving grounded communication for robots. Trends in Cognitive Science. 7(7), July 2003, pp. 308-312.

Google UIUC

Steels L. (2003b). Language re-entrance and the `Inner Voice', Journal of Consciousness Studies, 10 (4-5): 173-185.

Google

Steels L. and Kaplan F. (2001). AIBO's first words: The social learning of language and meaning. Evolution of Communication, 4:3-32.

Google UIUC

Steels L. & Vogt P. (1997) Grounding adaptive language games in robotic agents. In: P. Husband & I. Harvey (Eds.), Proceedings of the 4th European Conference on Artificial Life. Cambridge MA: MIT Press.

Google UIUC

Sugita Y. and Tani J. (2004). A connectionist approach to learn association between sentences and behavioral patterns of a robot. In S. Schaal, A. Ljspeert, A. Billard, S. Vijayakumar, J. Hallam, and J. Meyer (Eds.), Proceedings of the 8th International Conference on Simulation of Adaptive Behavior (SAB04). Cambridge, MA: The MIT Press.

Google UIUC

Sutton R.S. & Barto A.G. (1998) Introduction to Reinforcement Learning. Cambridge, MA: MIT Press.

Google

Tani J., Ito M., and Sugita Y. (in press). Self-organization of distributely represented multiple behavior schemata in a mirror system: Reviews of robot experiments using RNNPB, Neural Networks.

Google

Waddington C.H. (1942). Canalization of development and the inheritance of acquired characters. Nature, 150:563-565.

Google

Wagner K., Reggia J.A., Uriagereka J., Wilkinson G.S. (2003). Progress in the simulation of emergent communication and language. Adaptive Behavior, 11(1):37-69.

Google UIUC

Werner, G. M., and Dyer, M. G. (1991). Evolution of communication in artificial organisms. In Langton, C. G., Taylor, C., Farmer, J. D., and Rasmussen, S. (Eds.) Proceedings of the Workshop on Artificial Life. pages: 659-687. Reading, MA, Addison-Wesley.

Google UIUC

 HOME   ::   Back to the Paper   ::   References Comments to: junwang4 you-know-at gmail.com Last update: 2/3/09