Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
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The purpose of the current work is to analyze algorithms for neural networks. The main idea of this work is to use multi-agent system and multi-agent negotiation algorithms to create decision support system for diagnostics of public electric transport workability. The intelligent multi-agent system structure is developed. The base of multi-agent is neural network, which analyze input signals and offer suitable action in case of problem. For neural network learning well-known back-propagation algorithm is selected. Intelligent agents are created using a database and the appropriate programming languages, that allows a simpler and effectively negotiation. Intelligent multi-agent provides the possibility to detect problem and offer solution immediately. It is a chance to avoid superfluous charges connected with problem detection, fixation and consequences of the problem.