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At present, people's focus has shifted from the demand purchase to the value investments. The value becomes soul of marketing, which makes marketing research to be launched around the value. Through the introducing important intermediary of the relationship levels and related-party fit, discussing interaction among 4R, the relationship levels and related-party fit, so as to upgrade relationship value--4R...
At present, people have shifted from focus on the benefit needs to focus on the value of the ratio of the benefits and costs, which is made that the studies on marketing strategy theory of the earliest development and the most widely used must focus on the value to start. Most studies deem that satisfaction is pre-variable of the value, but we find fit can create value comparing to satisfaction. From...
In electronic marketplaces automated and dynamic pricing is becoming increasingly popular. Agents that perform this task can improve themselves by learning from past observations, possibly using reinforcement learning techniques. several papers studied the use of Q-learning for modeling the problem of dynamic pricing in electronic marketplaces. But The extension of reinforcement learning (RL) to large...
Q-learning is a Reinforcement Learning (RL) model from the field of artificial intelligence, several papers studied the use of Q-learning for modeling the problem of dynamic pricing in electronic marketplaces. But existing RL comes short of achieving good result as the amount of exploration required is often too costly. To address the problem of dynamic pricing, we take a Bayesian model-based approach,...
A security robot simulator can be a useful tool for planning security strategies. However, few simulators or systems for security robot planning have been designed to date. This involves the implementation of low-level procedures to control robot behavior, action and motion and high-level procedures such as patrol path planning. In this paper, we propose a new security robot simulation system, Security...
The problem of sellers pricing in electronic marketplaces can be ranked as a coordination games, the paper puts forward a agentspsila belief revision model and a learning algorithm which is based on the similarity of agentspsila strategies in coordination games. By position-exchanging, each agent stands from the viewpoint of its opponent and infers opponentspsila actions,. The belief revision model...
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