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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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樓主: Sentry
51#
發(fā)表于 2025-3-30 08:23:56 | 只看該作者
Clues from Information Theory Indicating a Phased Emergence of Grammar such a structure could have been the basis of a more highly evolved hierarchical grammar. The primary local sequential structure is shown to have its own benefits, which indicate that there could be an intermediate stage in the evolution of grammar, before the advantages of a fully developed syntax were realised.
52#
發(fā)表于 2025-3-30 15:56:07 | 只看該作者
Learning and Transition of Symbols: Towards a Dynamical Model of a Symbolic Individual out that humans are symbolic species, namely, we show symbolic cognitive activities such as learning, formation, and manipulation of symbols. In research into the origin and the evolution of language, we should elucidate the emerging process of such symbolic cognitive activities.
53#
發(fā)表于 2025-3-30 19:23:37 | 只看該作者
Modeling Explosions and Blast Wavese into separate mechanistic components such as vocal imitation, syntactic abilities, and propositional semantics. In this chapter, I discuss the evolution of the last component – the abilities and proclivities underlying honest, complex, propositional meanings. This is both a critical component of l
54#
發(fā)表于 2025-3-30 20:42:43 | 只看該作者
55#
發(fā)表于 2025-3-31 02:15:56 | 只看該作者
56#
發(fā)表于 2025-3-31 06:10:05 | 只看該作者
57#
發(fā)表于 2025-3-31 11:02:54 | 只看該作者
58#
發(fā)表于 2025-3-31 16:36:52 | 只看該作者
https://doi.org/10.1007/978-3-662-03853-6 is no widely accepted complete theory yet, but several proposals are on the table and observations and experiments are proceeding. This chapter focuses on the recruitment theory of language origins which we have been exploring for almost ten years now. This theory argues that language users recruit
59#
發(fā)表于 2025-3-31 17:32:52 | 只看該作者
https://doi.org/10.1007/978-1-4020-6973-4ow genes affect the language faculty. We complement experimental biological studies by an . approach in that we simulate the evolution of neuronal networks under selection for language-related skills. At the heart of this project is the Evolutionary Neurogenetic Algorithm (ENGA) that is deliberately
60#
發(fā)表于 2025-4-1 00:35:18 | 只看該作者
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