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Research on Dynamics of Learning and De-velopments by Combining Models of Morphology and Information dynamics

形态学与信息动力学相结合模型的学习与发展动力学研究

基本信息

批准号：
13831003
负责人：
IKEGAMI Takashi
金额：
$ 2.37万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

项目摘要

1. Theory for Cognitive Behaviors : A difference between mere physical entrainment and cognitive synchrony can be found in e. g. sensitivity to the 'on-goingness' of interaction and/or diverse patterns of interaction in between mother-infant relationships (C. Trevarthen's experiments) . It is interesting to note that such properties are quite relevant to pre-linguistic interaction. We studied such properties in detail in the model of turn taking behaviors (ref. 1, 29) with coupled dynamical recognizers.Our theoretical standing points are discussed in ref. 12 and 17 in the form of reviewing article of O. Rossler's endophysics and the commentary letter to I. Tsuda's paper, respectively.We further discussed empirical cognitive data in ref. 19 and 20 with our newly developed ideas on joint attention and prediction.2. Morphology Organization : We studied an evolution from primordial chemical soup to self-reproduction unit (cell) on 1 and 2-dimensional space (ref. 6, 15). Here we extended it … More to 3-dimensional (ref. 5). In these models, autocatalytic reactions generate chemical membranes that enclose the chemical reactions themselves, maintaining the membrane formations. The 3-dimensional space allows a variety of membrane forms. We are now planning to study how chemical reactions are selected through the morphology of the membrane. We also studied a cell-automata model of self-replication (ref. 4). There interaction among replicators generate new replicators to emerge. Such evolution by interaction is our another project with respect to self-reproduction.3. Evolutionary EcoSystems : We have obtained some generic notions of evolution and heritability by studying artificial ecosystems. In particular, keystone species, that gives a larger impact on the whole system relative to its abundance when being removed, is rephrased in terms of dynamical systems. For example, an origin of compositional information construction is revealed (ref. 10). Mathematical structures of the models are studied in ref. 14 and 16. An ecosystem with a food-web structure is also studied in ref.8.4. Etc : We have also studied I) dynamical systems interpretation of computational complexity (ref. 11), ii) game system (ref. 13) and iii) evolution of complexity in birds' songs (ref. 3).Those results are the challenges to the open questions of artificial life studies posed in ref. 18. Less

1.认知行为理论：单纯的物理诱导和认知同步之间的差异可以在e。G.对母婴关系中互动的“持续性”和/或互动的多样性模式的敏感性（C. Trevarthen的实验）。值得注意的是，这些特性与前语言的相互作用非常相关。我们在具有耦合动态识别器的话轮转换行为模型（参考文献1，29）中详细研究了这些性质，我们的理论观点在参考文献12和17中以评论O.罗斯勒的内物理学和给我的评论信。本研究分别对Tsuda的论文进行了讨论，并结合我们对联合注意和预测的新观点，对文献19和20中的认知实验数据进行了讨论。形态学组织：我们研究了从原始化学汤到1维和2维空间的自我复制单位（细胞）的进化（参考文献6，15）。在这里我们扩展了它 ...更多信息三维（参考文献5）。在这些模型中，自催化反应产生化学膜，化学膜封闭化学反应本身，维持膜的形成。三维空间允许各种膜形式。我们现在正计划研究如何通过膜的形态选择化学反应。我们还研究了自我复制的细胞自动机模型（参考文献4）。复制因子之间的相互作用产生了新的复制因子。这种相互作用的进化是我们关于自我繁殖的另一个项目。进化生态系统：通过研究人工生态系统，我们已经获得了一些进化和遗传性的一般概念。特别是，关键物种，这给了一个更大的影响，在整个系统相对于其丰度时，被删除，是在动力系统方面重新措辞。例如，揭示了组成信息结构的起源（参考文献10）。参考文献14和16研究了模型的数学结构。参考文献8.4也研究了具有食物网结构的生态系统。等等：我们还研究了I）计算复杂性的动力系统解释（参考文献11），ii）博弈系统（参考文献13）和iii）鸟鸣复杂性的演化（参考文献3），这些结果是对参考文献18提出的人工生命研究的开放问题的挑战。少