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Machine Learning Perspectives of Agent-Based Models Practical Applications to Ec.pdf
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机器学习python加持经济学研究应用。
内容超级丰富，英文，矢量文字，380多页。
1 Introduction ................................................................. 1
Pedro Campos
Part I Agent-Based Modelling and Machine Learning
2 Agent-Based Modeling and Learning in Economics: An Overview... 9
Pedro Campos, Anand Rao, and Pavel Brazdil
Part II Agent-Based Models in the Context of COVID19
3 Epidemiology Modelling ................................................... 51
Arit Kumar Bishwas and Anand Rao
4 Agent-Based Behavioral Models: Modeling COVID19 Behavior ..... 77
Anand Rao and Arit Kumar Bishwas
5 COVID-19 Epidemiological, Behavioral, and Economic Model....... 99
Anand Rao, Sindy Ma, Mark Paich, and Joseph Voyles
Part III Creating Agent-Based Models of Crisis in Python, and R
6 MyWealth: A Simple Model of Economic Exchange in Python ....... 129
Joaquim Margarido and Pedro Campos
7 The Ultimatum Game as a Paradigm for Learning Agents:
A Python Adventure........................................................ 147
Joaquim Margarido and Pedro Campos
8 Alternative Machine Learning Approaches for an
Agent-Based Model of the Ultimatum Game Using R.................. 189
Pedro Campos, José Matos, and Joaquim Margarido
Part IV Case Studies: Agent-Based Learning and Crisis Using R,
Netlogo, and Julia
9 An Agent-Based Epidemic Modeling in Julia ........................... 227
Ali R. Vahdati
10 Portfolio Management and Crises: A Multi-Armed Bandit
Approach .................................................................... 251
Inês Ferreira and Marta Moraes
11 Organizational Learning from Crises with Machine
Learning and Agent-Based Models ....................................... 269
Friederike Wall and Pedro Campos
12 Strategic Alliances in NetLogo: A Flocking Algorithm with
Reinforcement Learning ................................................... 287
Sónia Teixeira and Pedro Campos
13 Exploring the Efficiency vs. Fairness Behavioural Spectrum
in Multi-Agent Deep Reinforcement Learning .......................... 307
Margarida Silva, Zafeiris Kokkinogenis, Jeremy Pitt, and Rosaldo
J. F. Rossetti
14 Resilient Agent-Based Networks in the Automotive Industry ......... 341
Ana Nogueira, Conceição Rocha, and Pedro Campos
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