声音刺耳 发表于 2025-3-27 00:16:04
Francesco Ranzato,Marco Zanella agents can, for example, be modelled and the results from the simulated markets compared with the stylised facts. Artificial market models are neither ad hoc nor theory free, but thys allow us to analyse situations which are too general to permit analytic solutions.变形 发表于 2025-3-27 01:23:01
Evolutionary Switching between Forecasting Heuristics: An Explanation of an Asset-Pricing Experimentnforcement learning over a set of simple forecasting heuristics. The key element of our model is the switching between heuristics on the basis of their past performance. Simulations show that such evolutionary learning can reproduce the qualitative patterns observed in the experiment.散布 发表于 2025-3-27 09:01:20
Why do we need Ontology for Agent-Based Models?ect of interest are discussed in the case of spatial economists and geographers. Finally, using the case of Shelling’s model, we discuss the concept of “ontological test,” and raise the question of the ontological compatibility between the “model world” and the “real world.”欺骗世家 发表于 2025-3-27 12:19:29
Artificial Markets: Rationality and Organisation agents can, for example, be modelled and the results from the simulated markets compared with the stylised facts. Artificial market models are neither ad hoc nor theory free, but thys allow us to analyse situations which are too general to permit analytic solutions.愤怒历史 发表于 2025-3-27 15:11:44
Book 2008aking, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences..休战 发表于 2025-3-27 20:33:17
http://reply.papertrans.cn/24/2317/231661/231661_36.png巧办法 发表于 2025-3-27 23:08:48
http://reply.papertrans.cn/24/2317/231661/231661_37.pngInvigorate 发表于 2025-3-28 05:00:14
http://reply.papertrans.cn/24/2317/231661/231661_38.pngLIEN 发表于 2025-3-28 07:59:25
Marcus Völker,Stefan Kowalewskilutionary models for optimization purpose. In the third section we consider bottom-up evolution, by discussing a recent model for the generation of simplified discrete models for large arrays of regulatory circuits – to the end of creating artificial life. The author takes the liberty to mention links to economical systems whenever possible.初学者 发表于 2025-3-28 12:22:07
http://reply.papertrans.cn/24/2317/231661/231661_40.png