The evolutionary dynamics of expectations: Interactions among codes in inter-human communications

IF 1.2 Q3 Computer Science
L. Leydesdorff, Franz Hoegl
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引用次数: 3

Abstract

Double contingency-each of us (Ego) expects others (Alter) to entertain expectations as we entertain them ourselves-can be considered as the micro-operation of an above-individual (i.e., social) logic of expectations. Meaning is provided to events from the perspective of hindsight, but with reference to horizons of meaning. Whereas "natural selection" is based on genotypes that are observable (like DNA), cultural selection mechanisms are not hard-wired, but evolve. The "genotypes" of cultural evolution are codes in the communication which can operate as selections upon one another. Local instantiations shape trajectories; regimes operate as selection pressure with reference to the next-order horizons of meaning. These orders of expectations can operate incursively and hyper-incursively against the arrow of time and thus generate redundancies: (i) horizons of meaning can be expected to overlap and (ii) distinctions generate new options enlarging the maximum capacities. Information theory and the theory of anticipatory systems can be used for the elaboration of operations against the arrow of time. New options can be a synergetic effect of interactions among codes in the communication and serve as sources of wealth in a knowledge-based economy.
期望的进化动力学:人与人之间交流中代码之间的相互作用
双重偶然性——我们每个人(自我)期望他人(Alter)满足期望,就像我们自己满足期望一样——可以被认为是一种超越个人(即社会)期望逻辑的微观运作。意义是从后见之明的角度提供给事件的,但与意义的视界有关。然而“自然选择”是基于可观察到的基因型(如DNA),文化选择机制不是天生的,而是进化的。文化进化的“基因型”是交流中的密码,可以作为相互选择的操作。局部实例化塑造轨迹;制度作为选择压力,参照下一阶意义视界运作。这些期望的顺序可以对时间的箭头进行侵入性和超侵入性的操作,从而产生冗余:(i)可以期望意义的视界重叠;(ii)区别产生新的选择,扩大最大的能力。信息论和预期系统理论可以用来详细说明逆时间之箭的行动。新的选择可以是通信中代码之间相互作用的协同效应,并在知识经济中成为财富的来源。
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来源期刊
Bio-Algorithms and Med-Systems
Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
3
期刊介绍: The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.
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