An agent-based model is developed to address the relationship between the ownership structure of an enterprise and the evolution of its product portfolio. The coherence and evolution of a product portfolio is operationalized by transition rules regarding the Moore environment. The distinguishing...

Though climate physical and transition risks will likely affect socio-economic dynamics along any transition pathways, their unfolding is still poorly understood. This also affects the development of climate-change policies to achieve sustainable growth. In this paper, we discuss a series of...

Soaring energy prices since fall 2021 have prompted European governments to introduce policy measures to support households and businesses. In this paper, we employ the MATRIX model, a multi-sector and multi-agent macroeconomic model calibrated on the Euro Area, to analyze the economic and...

Behavioral Finance has become a challenge to the scientific community. Based on the assumption that behavioral aspects of investors may explain some features of the Stock Market, we propose an agent based model to study quantitatively this relationship. In order to approximate the simulated...

We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and evaluate MADRL's performance to minimize the overall costs of a supply chain. We also examine whether the upfront-only information-sharing mechanism used in MADRL helps alleviate...

Many centralized college admissions markets allocate seats to students based on their performance on a standardized exam. A single exam's measurement error can cause the exam-based priorities to deviate from colleges' aptitude-based preferences. Previous literature proposes correcting such an...

How to ascertain causal relationships has been a key question in science and philosophy for centuries. Based on established ideas on causation, we develop a quantitative measure of an agent's causal responsibility for the state of a dynamical system: we measure the degree to which an agent's...