Artificial Intelligence, Learning and Computation in Economics and Finance
indgår i Understanding Complex Systems serien
- Indbinding:
- Hardback
- Sideantal:
- 340
- Udgivet:
- 16. februar 2023
- Udgave:
- 23001
- Størrelse:
- 160x24x241 mm.
- Vægt:
- 676 g.
- 8-11 hverdage.
- 23. november 2024
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- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Artificial Intelligence, Learning and Computation in Economics and Finance
This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded.
Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools.
The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools.
The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
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Bogen Artificial Intelligence, Learning and Computation in Economics and Finance findes i følgende kategorier:
- Business og læring > Økonomi og finans
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori > Kybernetik og systemteori
- Økonomi, finans, erhvervsliv og ledelse > Økonomi
- Matematik og naturvidenskab > Matematik > Anvendt matematik
- Matematik og naturvidenskab > Fysik > Matematisk fysik
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Matematik for ingeniører
- Databehandling og informationsteknologi > Computere og hardware
- Databehandling og informationsteknologi > Informatik
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