Research on Applications of Soft Computing Agents
Peiyou Chen, Jing Zhang · 2008
Soft computing, integrating fuzzy set theory, artificial neural networks, genetic algorithms and other intelligent methods, is widely used in the real-world to deal with uncertain and imprecise problems, and is popular with people. Also, agent theory is a new expressing knowledge and solving problems method, which is increasingly applied to complex systems such as industry, economy, finance, marketing, and ecology. Now some experts propose a new concept, the integration of soft computing and agent theory. It has the both advantages of these two theories and performs very well in the practice. In the paper, firstly, it introduced the soft computing and three main kinds of integration technologies of soft computing and their applications. Secondly, the paper showed some applications of soft computing in multi-agent and mobile agent respectively. Finally, it concludes that SCA has bright future in applications and can solve the most of imprecise and uncertain problems effectively and efficiently.