Artificial economics : methods, models, and interdisciplinary links / Ruben Mercado
| Publisher | (Cambridge : Cambridge University Press) |
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| Year | 2022 |
| Authors | *Mercado, P. Ruben author |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00189013 | Cambridge Core (電子ブック) | 9781009036719 |
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| Material Type | E-Book |
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| Media type | 機械可読データファイル |
| Size | 1 online resource (xv, 180 pages) : digital, PDF file(s) |
| Notes | Title from publisher's bibliographic system (viewed on 28 Oct 2021) This introductory overview explores the methods, models and interdisciplinary links of artificial economics, a new way of doing economics in which the interactions of artificial economic agents are computationally simulated to study their individual and group behavior patterns. Conceptually and intuitively, and with simple examples, Mercado addresses the differences between the basic assumptions and methods of artificial economics and those of mainstream economics. He goes on to explore various disciplines from which the concepts and methods of artificial economics originate; for example cognitive science, neuroscience, artificial intelligence, evolutionary science and complexity science. Introductory discussions on several controversial issues are offered, such as the application of the concepts of evolution and complexity in economics and the relationship between artificial intelligence and the philosophies of mind. This is one of the first books to fully address artificial economics, emphasizing its interdisciplinary links and presenting in a balanced way its occasionally controversial aspects HTTP:URL=https://doi.org/10.1017/9781009036719 |
| Subjects | LCSH:Economics LCSH:Cognitive science -- Economic aspects All Subject Search LCSH:Artificial intelligence -- Economic aspects All Subject Search LCSH:Economics -- Mathematical models All Subject Search |
| Classification | LCC:HB71 DC23:330.1 |
| ID | 8000088182 |
| ISBN | 9781009036719 |
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