The genicAgent: a hybrid approach for multi‐agent problem solving

The genicAgent is a particularly original multi‐agent approach that integrates an intelligent technique – neural networks. Genetic algorithms are used to evolve the genicAgent. This approach has the individual advantages of each separate intelligent technique. The multi‐agent system, based on the genicAgent approach (called GAMAS), is a generator of knowledge‐based problem‐solving systems. The knowledge base can be explicitly defined or can be acquired via both the learning capabilities of the neural network component and the training that occurs during evolution. Focuses only on the description of the genicAgent approach.