ARTÍCULO
TITULO

A Framework for Incorporating Market Interactions in an Agent Based Model for Freight Transport

Tilman Matteis    
Gernot Liedtke    
Wisinee Wisetjindawat    

Resumen

A model is sketched that allows to display the reaction of the supply side in the freight transport market on changes in demand and on policy measures. Considerations are made on how to include the concept of monopolistic competition into an agent based market simulation. Methods of price formation and rules for entries and exits of suppliers in the market are given.

 Artículos similares

       
 
Abdelghani Azri, Adil Haddi and Hakim Allali    
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ... ver más
Revista: Information

 
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo    
The detection of fake news has emerged as a crucial area of research due to its potential impact on society. In this study, we propose a robust methodology for identifying fake news by leveraging diverse aspects of language representation and incorporati... ver más
Revista: Information

 
Yusuf Brima, Ulf Krumnack, Simone Pika and Gunther Heidemann    
Self-supervised learning (SSL) has emerged as a promising paradigm for learning flexible speech representations from unlabeled data. By designing pretext tasks that exploit statistical regularities, SSL models can capture useful representations that are ... ver más
Revista: Information

 
Miguel-Ángel Fas-Millán, Andreas Pick, Daniel González del Río, Alejandro Paniagua Tineo and Rubén García García    
Within the framework of the European Union?s Horizon 2020 research and innovation program, one of the main goals of the Labyrinth project was to develop and test the Conflict Management services of a U-space-based Unmanned Traffic Management (UTM) system... ver más
Revista: Aerospace

 
Fátima Trindade Neves, Manuela Aparicio and Miguel de Castro Neto    
In the rapidly evolving landscape of urban development, where smart cities increasingly rely on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately predict real estate prices becomes a multifaceted and crucial tas... ver más
Revista: Applied Sciences