What is life? A perspective of the mathematical kinetic theory of active particles

N Bellomo, D Burini, G Dosi, L Gibelli… - … Models and Methods …, 2021 - World Scientific
The modeling of living systems composed of many interacting entities is treated in this paper
with the aim of describing their collective behaviors. The mathematical approach is …

Modelling stock markets by multi-agent reinforcement learning

J Lussange, I Lazarevich, S Bourgeois-Gironde… - Computational …, 2021 - Springer
Quantitative finance has had a long tradition of a bottom-up approach to complex systems
inference via multi-agent systems (MAS). These statistical tools are based on modelling …

Stochastic evolutionary differential games toward a systems theory of behavioral social dynamics

GA Marsan, N Bellomo, L Gibelli - Mathematical Models and …, 2016 - World Scientific
This paper proposes a systems approach to social sciences based on a mathematical
framework derived from a generalization of the mathematical kinetic theory and of theoretical …

Simulation analysis of implementation effects of construction and demolition waste disposal policies

H Wang, X Pan, S Zhang, P Zhang - Waste Management, 2021 - Elsevier
Urban development generates large amounts of construction and demolition waste, and the
enactment of various policies is an important way to increase resource efficiency. It is urgent …

[图书][B] Toward a process approach in psychology: stepping into Heraclitus' river

P Van Geert, N de Ruiter - 2022 - books.google.com
Psychological science constructs much of the knowledge that we consume in our everyday
lives. This book is a systematic analysis of this process, and of the nature of the knowledge it …

Evolutionary economics, responsible innovation and demand: Making a case for the role of consumers

MP Schlaile, M Mueller, M Schramm, A Pyka - Philosophy of Management, 2018 - Springer
This paper contributes to the (re-) conceptualisation of responsible innovation by proposing
an evolutionary economic approach that focuses on the role of consumers in the innovation …

Моделирование структуры лесотранспортных потоков

АП Мохирев, КП Рукомойников - 2022 - elibrary.ru
Представлены результаты теоретических и экспериментальных исследований,
позволяющие обосновать рациональные технологические цепочки работы …

Stock price formation: Precepts from a multi-agent reinforcement learning model

J Lussange, S Vrizzi, S Bourgeois-Gironde… - Computational …, 2023 - Springer
In the past, the bottom-up study of financial stock markets relied on first-generation multi-
agent systems (MAS), which employed zero-intelligence agents and often required the …

Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

J Lussange, S Vrizzi, S Palminteri, B Gutkin - Plos one, 2024 - journals.plos.org
Recent advances in the field of machine learning have yielded novel research perspectives
in behavioural economics and financial markets microstructure studies. In this paper we …

Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning

S Luo, S Liu, T Cai, C Wu - Expert Systems with Applications, 2025 - Elsevier
The economic system serves as the foundation for the organization and coordination of
economic activities within a society, involving various interacting agents, such as workers …