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Titlebook: Emergence of Communication and Language; Caroline Lyon,Chrystopher L. Nehaniv,Angelo Cangel Book 2007 Springer-Verlag London 2007 Computat

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https://doi.org/10.1007/978-1-4020-6973-4l networks in all scenarios were able to solve the communication problem they had to face. The most striking feature of the model is that it works with highly indirect genetic encoding–-just as brains do.
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Communication in Natural and Artificial Organisms: Experiments in Evolutionary Robotics findings in primate research that indicate that, in baboons, knowledge is representational, based on properties that have discrete values and, from a certain point of view, propositional (Seyfarth et al., 2005).
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Modeling Financial Time Series with S-PLUS®that is only stimulated into expression by particular cultural input? Many have asked whether the human’s linguistic behaviour can be explained with recourse to less innate knowledge than Chomskian models traditionally assume.
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https://doi.org/10.1057/9780230597693 hands represent a selective pressure for developing an ability to predict the consequences of one’s actions, this ability is the basis for learning by imitating other individuals, and learning by imitating other individuals is applied to learning to imitate their communicative behaviour.
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