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Synopsis
Do social systems evolve similarly to biological ones and societies similarly to organisms? For some time now, an interdisciplinary paradigm has been developing in this regard: the Generalized Evolution Theory. After pointing out differences between biological and cultural evolution, as well as different inheritance strategies, the book proposes a philosophy of science classification of the different approaches in this vast and ever-growing field of research. It leads from generalized microevolution to generalized macroevolution and to their synthesis. As evolution favors groups with high internal cohesion, it will also favor strategies and reward agents responsible for this cohesion. In the long run, generalized evolution selects those populations that exhibit a higher density of interaction.
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About the Author
Karim Baraghith studied philosophy, history and biology. After receiving his PhD, he held positions as a researcher at Heinrich Heine University Düsseldorf and Leibniz University Hannover. Research interests include generalized and cultural evolutionary theory and other areas of philosophy of science.
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From Games to Graphs
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Condition: Sehr Gut. Zustandsbeschreibung: unterer Rücken leicht beschädigt/spine with minor defects. Synthesizing Generalized Evolution Theory. After pointing out differences between biological and cultural evolution, as well as different inheritance strategies, the book proposes a philosophy of science classification of the different approaches in this vast and ever-growing field of research. It leads from generalized microevolution to generalized macroevolution and to their synthesis. As evolution favors groups with high internal cohesion, it will also favor strategies and reward agents responsible for this cohesion. In the long run, generalized evolution selects those populations that exhibit a higher density of interaction. XVIII,215 Seiten mit 39 Abb., broschiert (Brill | mentis 2023). Statt EUR 105,00. Gewicht: 421 g - Softcover/Taschenbuch. Seller Inventory # 115184
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From Games to Graphs
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