Takaya Arita and Yuhji Koyama. Evolution of linguistic diversity in a simple communication system. In C. Adami, R. Belew, H. Kitano, and C. Taylor, editors, Proceedings of Artificial Life VI, pages 9--17. MIT Press, 1998.  Home/Search Document Details and Download
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Imitation: A Means to Enhance Learning of a Synthetic.. - Billard (1999) (4 citations) (Correct)
....perform [58] or one of its current sensory input [59] It gets reinforced (reinforcement learning[58] increase of statistic bias for the sensor[59] on the validity of its choice. The embodied aspect of grounding of meaning has also been neglected by simulated studies of language evolution (e.g. [60], 61] 62] 63] 64] In these works, grounding of communication is regarded as a computational problem that can be solved solely by means of combinatorial analysis. For these authors, categorization of sensor perceptions into concepts results from a process of statistical elimination among ....
T. Arita and Y. Koyama. Evolution of linguistic diversity in a simple communication system. Artificial Life, 4:1:9--17, 1998.
Self-Organisation of Communicating Agents - Linguistic.. - Avdis, Dautenhahn (2000) (1 citation) (Correct)
....come in full swing, because the level of happiness dictates how the behaviour changes. The new behaviour controls the agent trajectories in the next cycles and so on and so forth. The fact that the population languages converge to a single one is comparable to recent research by Arita Koyama [13]. They discuss linguistic diversity and convergence of a group of communicating agents that use a vocabulary table as a language model. Their agents use genetic operations, whereas in this study the mechanism of convergence of the ANN language model is Hebbian like learning. There is also an ....
Arita, T. & Koyama, Y., (1998), Evolution of Linguistic Diversity in a Simple Communication System, Artificial Life 4(1), pp. 109-124, UCLA, MIT Press
Evolutionary Computation: An Overview - Mitchell, Taylor (1999) (Correct)
....typically do not involve cultural evolution, though in the real world such traits would have a very strong cultural component. There have been a few studies on the evolution of communication: acquiring the ability to communicate and agree on common lexical items have been modeled with some success [4, 70, 75]. In addition, a few studies have addressed the very dicult problems concerned with how actual languages are learned and evolve (see [51] 15 Learning human languages presents serious theoretical problems for complex adaptive systems. For example, Gold s problem [25] is concerned with how, ....
T. Arita and Y. Koyama. Evolution of linguistic diversity in a simple communication system. In C. Adami, R. K. Belew, H. Kitano, and C. E. Taylor, editors, Articial Life VI, pages 9-17, Cambridge, MA, 1998. MIT Press.
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T. Arita and Y. Koyama. 1998. Evolution of linguistic diversity in a simple communication system.
Self-organized Diversification of Signals of - Different Species Alexander (Correct)
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Takaya Arita and Yuhji Koyama. Evolution of linguistic diversity in a simple communication system. In C. Adami, R. Belew, H. Kitano, and C. Taylor, editors, Proceedings of Artificial Life VI, pages 9--17. MIT Press, 1998.
Published in Advances in Artificial Life, Floreano, D.. - Th European Conference (Correct)
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Arita, T. and Koyama Y.: Evolution of Linguistic Diversity in a Simple Communication System. Artificial Life IV, UCLA, MIT Press (1998)
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