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Record Nr. |
UNINA9910483270803321 |
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Titolo |
Memetics and evolutionary economics : to boldly go where no meme has gone before / / Michael P. Schlaile, editor |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XIX, 205 p. 35 illus., 32 illus. in color.) |
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Collana |
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Economic complexity and evolution |
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Disciplina |
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Soggetti |
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Evolutionary economics |
Memetics |
Schools of economics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Editorial Introduction: We are the Memes, Resistance is Futile -- A Brief Overview of Memetics and Some Essential Context -- It’s more than Complicated! Using Organizational Memetics to Capture the Complexity of Organizational Culture -- A Case for Economemetics? -- It’s a Match! Simulating Compatibility-based Learning in a Network of Networks -- Viral Ice Buckets -- General Discussion: Economemetics and Agency, Creativity, and Normativity -- Conclusion and the Way(s) Forward. |
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Sommario/riassunto |
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This book explores the question of whether and how meme theory or “memetics” can be fruitfully utilized in evolutionary economics and proposes an approach known as “economemetics” which is a combination of meme theory and complexity theory that has the potential to combat the fragmentation of evolutionary economics while re-connecting the field with cultural evolutionary theory. By studying the intersection of cultural and economic evolution, complexity economics, computational economics, and network science, the authors establish a connection between memetics and evolutionary economics at different levels of investigation. The book first demonstrates how a memetic approach to economic evolution can help to reveal links and build bridges between different but complementary |
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concepts in evolutionary economics. Secondly, it shows how organizational memetics can help to capture the complexity of organizational culture using meme mapping. Thirdly, it presents an agent-based simulation model of knowledge diffusion and assimilation in innovation networks from a memetic perspective. The authors then use agent-based modeling and social network analysis to evaluate the diffusion pattern of the Ice Bucket Challenge as an example of a “viral meme.” Lastly, the book discusses the central issues of agency, creativity, and normativity in the context of economemetics and suggests promising avenues for further research. . |
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