Machine Learning Perspectives of Agent-Based Models

Edited by Pedro Campos (), Anand Rao () and Joaquim Margarido ()

in Springer Books from Springer

Date: 2025
ISBN: 978-3-031-73354-3
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Chapters in this book:

Ch Chapter 1 Introduction

Pedro Campos

Ch Chapter 10 Portfolio Management and Crises: A Multi-Armed Bandit Approach

Inês Ferreira and Marta Moraes

Ch Chapter 11 Organizational Learning from Crises with Machine Learning and Agent-Based Models

Friederike Wall and Pedro Campos

Ch Chapter 12 Strategic Alliances in NetLogo: A Flocking Algorithm with Reinforcement Learning

Sónia Teixeira and Pedro Campos

Ch Chapter 13 Exploring the Efficiency vs. Fairness Behavioural Spectrum in Multi-Agent Deep Reinforcement Learning

Margarida Silva, Zafeiris Kokkinogenis, Jeremy Pitt and Rosaldo J. F. Rossetti

Ch Chapter 14 Resilient Agent-Based Networks in the Automotive Industry

Ana Nogueira, Conceição Rocha and Pedro Campos

Ch Chapter 2 Agent-Based Modeling and Learning in Economics: An Overview

Pedro Campos, Anand Rao and Pavel Brazdil

Ch Chapter 3 Epidemiology Modelling

Arit Kumar Bishwas and Anand Rao

Ch Chapter 4 Agent-Based Behavioral Models: Modeling COVID19 Behavior

Anand Rao and Arit Kumar Bishwas

Ch Chapter 5 COVID-19 Epidemiological, Behavioral, and Economic Model

Anand Rao, Sindy Ma, Mark Paich and Joseph Voyles

Ch Chapter 6 MyWealth: A Simple Model of Economic Exchange in Python

Joaquim Margarido and Pedro Campos

Ch Chapter 7 The Ultimatum Game as a Paradigm for Learning Agents: A Python Adventure

Joaquim Margarido and Pedro Campos

Ch Chapter 8 Alternative Machine Learning Approaches for an Agent-Based Model of the Ultimatum Game Using R

Pedro Campos, José Matos and Joaquim Margarido

Ch Chapter 9 An Agent-Based Epidemic Modeling in Julia

Ali R. Vahdati

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DOI: 10.1007/978-3-031-73354-3

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