Search Results - subject:"agent based modeling"

A More Accurate Theory of Behavior in Continuous Double Auctions

Arifovic, Jasmina; Donmez, Anil; Ledyard, John; … - 2023

The continuous double auction (CDA) is a well-studied, widely used institution for trading. But there is no generally accepted theory about the dynamics of price formation within the first period that has survived experimental testing. In this paper, we describe a model of behavior (called...

Persistent link: https://www.econbiz.de/10014353275

A Dynamic Analysis Of Product Innovation：Based on Incentives and Agent's Behaviors

Wang, Ziyue; Ding, Chuan; Tuo, Mengyao - 2023

this study investigates the design of incentive compensation and agents’ behaviors in product innovation. We develop a dynamic control model in which product quality improvement depends on both instantaneous investment and manager’s innovative effort. Moreover, we consider the sensitivity of...

Persistent link: https://www.econbiz.de/10014353724

Economic and Labour Market Impacts of Migration in Austria : An Agent-Based Modelling Approach

Poledna, Sebastian; Strelkovskii, Nikita; Conte, Alessandra - 2023

This study examines the potential impact of a hypothetical but plausible migration scenario on Austria’s economy and labour market, inspired by Austria’s experience in 2015. Using the agent-based macroeconomic model developed by Poledna et al. (2023), the study explores the detailed labour...

Persistent link: https://www.econbiz.de/10014355244

Simulating the Effects of Law on Patent Licensing Process : Agent-Based Modeling Approach

Çamkertern, Ali Semih - 2023

agent-based modeling has been used to simulate the diffusion of innovations and the effects of patents on innovations, it … licensees. Taking a dynamic approach such as agent-based modeling instead of a static approach such as algebraic models provides … has not yet been applied to simulate the effects of law on patent licensing and in broader context, innovations. Agent-based …

Persistent link: https://www.econbiz.de/10014357948

Prevention First vs. Cap-and-Trade in an Agent-Based Integrated Assessment Model with GHG Emissions Permits

Popoyan, Lilit; Sapio, Alessandro - 2023

In this work, we ask whether tradable emissions permits, based on the cap-and-trade principle, provide better climate change and economic projections than alternative regulations for GHG emissions, such as operational permits which are commonly used to mitigate non-GHG emissions (prevention...

Persistent link: https://www.econbiz.de/10014357999

Modeling Sub-Annual Price and Trade Flow Anomalies in Agricultural Markets : The Dynamic Agent-Based Model Agrimate

Kubiczek, Patryk; Kuhla, Kilian; Otto, Christian - 2023

World food markets are susceptible to systemic shocks due to a concentration of production in a few main breadbasket regions, strong import dependencies of many developing countries, and frequent unilateral and uncoordinated policy interventions such as export restrictions.The well-established...

Persistent link: https://www.econbiz.de/10014358615

Agent-Based Integrated Assessment Models : Alternative Foundations to the Environment-Energy-Economics Nexus

Naumann-Woleske, Karl - 2023

Climate change is a major global challenge today. To assess how policies may lead to mitigation, economists have developed Integrated Assessment Models, however, most of the equilibrium based models have faced heavy critiques. Agent-based models have recently come to the fore as an alternative...

Persistent link: https://www.econbiz.de/10014358776

Energy Efficiency Policies in an Agent-Based Macroeconomic Model

Amendola, Marco; Lamperti, Francesco; Roventini, Andrea; … - 2023

Energy efficiency can help facing the climate crises. Yet the energy intensity has decreased more slowly than it is required to achieve climate goals. Based on this premise, we build an agent-based model to study the effects of different policies on energy efficiency. Policies analysed range...

Persistent link: https://www.econbiz.de/10014358830

A Cooperative Hierarchical Deep Reinforcement Learning Based Multi-Agent Method for Distributed Job Shop Scheduling Problem with Random Job Arrivals

Huang, Jiang-Ping; Gao, Liang; Li, Xinyu - 2023

Distributed manufacturing has been an important trend in the industrial field, in which the production cost can be reduced through the cooperation among factories. In the real production, the random job arrivals are regular for the enterprises with daily delivered production tasks. In the paper,...

Persistent link: https://www.econbiz.de/10014360368

Dynamic Scheduling Mechanism for Intelligent Workshop with Deep Reinforcement Learning Method Based on Multi-Agent System Architecture

Gu, Wenbin; Liu, Siqi; Guo, Zhenyang; Yuan, Minghai; … - 2023

With the development and changes of industry and market demand, the personalized customization production mode with small batch and multiple batches has gradually become a new production mode. This makes production environment become more complex and dynamic. However, traditional production...

Persistent link: https://www.econbiz.de/10014360528