网范文：“ endosymbiosis of cognitive modules” 系列内共生学说提供了一个统一的范式探讨，在不同的度量方式上，社会和文化组织都是微不足道的，英语论文网站，模型将双信息源与广泛的认知联系起来，类似于相变的物理系统,以及相关的共同进化的过程,导致信息源之间的同源性和不确定性。动力学,包括标点符号模式，类似于生态系统弹性转换,在很大程度上是由通道构成的传播渠道信息模块。这篇社会范文谈的是对于系列内共生学说，对这一理论进行了阐述。
罗马帝国的崛起也类似,开始在较小的社会群体狩猎团队中,在高等动物,认知之间的串扰子犹如计算机网络,和串行内共生导致而产生,看起来荒谬。我们认为串行内共生学说提供了一个基本模型层次“融合”的认知过程。下面的范文将进行详述。
Abstract
Serial endosymbiosis theory provides a unifying paradigm for examining the interaction of cognitive modules at vastly different scales of biological, social, and cultural organization. A trivial but not unimportant model associates a dual information source with a broad class of cognitive processes, and punctuated phenomena akin to phase transitions in physical systems, and associated coevolutionary processes, emerge as consequences of the homology between information source uncertainty and free energy density. The dynamics, including patterns of punctuation similar to ecosystem resilience transitions, are largely dominated by the availability of ‘Roman roads’ constituting channels for the transmission of information between modules.
Introduction
The rise and management of something like the Roman empire, decision-making in smaller social groups like hunting teams and families, the interaction of unconscious cognitive neural and other modules to produce consciousness in higher animals, the crosstalk between cognitive submodules in modern computing machines and networks, and the serial endosymbiosis leading to the eukaryotic transition that preceded all these by a billion years, seem absurdly disconnected across scales of time, energy, and levels of organization. Here we will argue that serial endosymbiosis theory (SET) provides a fundamental model for the hierarchical ‘fusion’ of cognitive processes, once biological cognition emerged from deep evolutionary time. Indeed, cognition, in the sense we will define it, seems a necessary condition for life, and appears a sufficient marker of its existence. ∗Affiliation for identification only.
In contrast to former evolutionary theories that consider ramification as a driving force for evolution, Margulis uses the language of mechanistic biology: ‘merging’, ‘fusion’, ‘incorporation’, and ‘amalgamation’. By contrast, Witzany’s biosemiotics approach argues that all cell-cell interactions are communication processes. Witzany nonetheless claims SET plausibly demonstrates that chance mutations were not responsible for initiating the evolutionary processes from prokaryotes to eukaryotes. Rather, merging processes by various prokaryotes – via endosymbioses and the fusion of different organisms – ultimately led to the eukaryotic cell. Wallace and Wallace (2017), rather than taking Witzany’s biosemiotics perspective on biological communication, use the asymptotic limit theorems of information theory to derive a class of necessary conditions statistical models of the interaction between embedding ecosystem, cognitive gene expression, and Darwinian genetic inheritance. These interactions, via an analog to the ‘no free lunch’ theorem of optimization theory, lead to a ‘mesoscale resonance’ by which punctuated ecosystem resilience transitions at appropriate scale, in the sense of Holling (1973, 1992), can entrain both more rapid processes of gene expression, and slower Darwinian genetic selection, to produce punctuated evolutionary transitions on geologic time scales.
Discussion and Conclusions
According to Wallace (2017), mutualism, obligate mutualism, symbiosis, and the fusion of SET represent progressively more rapid and less distorted real-time communication between biological structures instantiating information sources. Such communication requires progressively greater channel capacity that, through the homology between information source uncertainty and free energy density, requires progressively more energetic metabolism. The eukaryotic transition, according to this model, may have been entrained by an ecosystem resilience shift from anaerobic to aerobic metabolism.
Wallace (2017) further speculates that, asymptotically, for multicellular structures, while the capacity of a given highly parallel real time biological system will grow according to some power law of its size, the energy needed to maintain and regulate the system, to oppose the entropic distortion torrent or its sudden large deviations jets, in the sense of Wallace and Wallace, (2017), may grow according to another power law altogether. Thus there might well be a crossover point at which the necessity for stabilization will overcome the increase in overall system capacity, suggesting the need to carefully adapt architecture to system size and demand. Thus architectures ‘economical’ at one scale may not be so at other scales. Such relations represent ‘allometric scaling’ (e.g., White and Seymour, 2017; Speakman, 2017) whose form is largely determined by the question of what constitutes ‘real time’ for the system of interest, and by what energy sources are available.
Interacting cognitive modules are ubiquitous in cellular function, neural process, social interaction within small groups, institutional distributed cognition in larger ones, the function of computing machinery and networks, and the operation of economic and imperial hegemonies at the greatest scale. The availability of free energy within these systems determines the maximum possible channel capacities, and hence the maximum rate at which accurate information may be communicated across them. Failure to provide resources, (or the necessity of responding in less than the characteristic time of the system) triggers rate distortion dynamics of decline until punctuated processes of disintegration become manifest. Conversely, increasing communication between nested sets of interacting cognitive modules, contingent on availability of free energy in various forms, will almost inevitably be followed by a different phase transition, leading to the punctuated establishment of globally-structured, hierarchically-organized and highly integrated phenomena of various kinds. Roman roads are essential, at all scales of living organization.()
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