Titlebook: Simulating the Evolution of Language; Angelo Cangelosi,Domenico Parisi Book 2002 Springer-Verlag London Limited 2002 Adaptive Systems.Comp

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Book 2002s of neural networks to language problems. Furthermore, due to the fact that language evolution models use multi-agent methodologies, it will also be of great interest to computer scientists working on multi-agent systems, robotics and internet agents.

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Symbol Grounding and the Symbolic Theft Hypothesisng language and cognitive systems. Symbol systems are advantageous as they are easily studied through computer simulation (a computer program is a symbol system itself), and this is why language is often studied using computational models.

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Grounding Symbols through Evolutionary Language Gamesset of meanings with an open-ended set of forms. Third, we must explain the emergence of grammar: how compositional form can be associated with compositional meaning. This chapter focuses only on the second part, the emergence of semiotic systems.

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Computer Simulation: A New Scientific Approach to the Study of Language Evolutiont form. If we could go back in time for a sufficient number of generations we would encounter human ancestors that did not have language. In a succession of generations the descendants of those non-linguistic ancestors came to possess the ability to speak and to understand the speech of others. What

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