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WECWIS
2003
IEEE
120views ECommerce» more  WECWIS 2003»
13 years 10 months ago
Reinforcement Learning Applications in Dynamic Pricing of Retail Markets
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
C. V. L. Raju, Y. Narahari, K. Ravikumar
WSC
2001
13 years 6 months ago
Agent-based simulation and greenhouse gas emissions trading
The need for new theoretical and experimental approaches to understand dynamic and heterogeneous behavior in complex economic and social systems is increasing recently. An approac...
Hideyuki Mizuta, Yoshiki Yamagata
CORR
2004
Springer
85views Education» more  CORR 2004»
13 years 5 months ago
A dynamical model of a GRID market
We discuss potential market mechanisms for the GRID. A complete dynamical model of a GRID market is defined with three types of agents. Providers, middlemen and users exchange uni...
Uli Harder, Peter G. Harrison, Maya Paczuski, Teja...
SPRINGSIM
2007
13 years 6 months ago
Studying the impact of web-services implementation of distributed simulation of DEVS and Cell-DEVS models
DEVS is a Modeling and Simulation formalism that has been used to study the dynamics of discrete event systems. Cell-DEVS is a DEVS-based formalism that defines the cell space as ...
Rami Madhoun, Gabriel A. Wainer
ATAL
2009
Springer
13 years 11 months ago
An agent-based commodity trading simulation
In this paper, an event-centric commodity trading simulation powered by the multiagent framework is presented. The purpose of this simulation platform is for training novice trade...
Shih-Fen Cheng, Yee Pin Lim, Chao-Chih Liu