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Titlebook: Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming; Francesco Luna,Benedikt Stefansson Book 2000 Springe

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樓主: Osteopenia
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發(fā)表于 2025-3-28 14:59:12 | 只看該作者
42#
發(fā)表于 2025-3-28 20:23:21 | 只看該作者
An Experimental Approach to the Study of Banking Intermediation: The Banknet Simulator costs, economies of scale, bounded rationalityrationality, heterogeneity and strategical interaction) in a financial network where operations of deposit and credit continually take place BankNet develops, cycle after cycle, a non-intentional credit system in an absolutely decentralized way, excludi
43#
發(fā)表于 2025-3-29 01:50:38 | 只看該作者
Numerical Modeling, Noise Traders, and the Swarm Simulation Systemned. “Noise traders” are agents irrationally trading on noise as if it were information. Some researchers have argued that traders following seemingly irrational strategies can have little influence on financial markets because they will tend to buy high and sell low on average. Eventually, their we
44#
發(fā)表于 2025-3-29 06:16:43 | 只看該作者
Nonlinear Stochastic Dynamics for Supply Counterfeiting in Monopolistic Marketsny works on this topic in the literature; moreover, they mainly deal with counterfeiting with models developed in a static time frame. In this paper we propose, by means of a system of first order nonlinear and stochastic difference equations, a discrete time dynamical model for a monopolistic marke
45#
發(fā)表于 2025-3-29 09:40:21 | 只看該作者
Using Swarm for Simulating the Order Fulfillment Process in Divergent Assembly Supply Chainsing multi-agent simulation is a tool that can provide decision support for supply chain managers. We identify the components of a supply chain model and implement it in the Swarm multi-agent simulation platform. The model is used to study the impact of information sharing on order fulfillment in div
46#
發(fā)表于 2025-3-29 12:06:28 | 只看該作者
Online Supply Chain Modeling and Simulationh industry structure and behavior of firms evolving rapidly. To identify successful strategies such as for market entry, advanced tools are required to cope with these dynamics and complexity of emergent behavior. Swarm has been used to implement a simulator that has been applied to this research pr
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