International Work-conference on the Interplay between Natural and Artificial Computation

IWINAC2009 Plenary Conference: 

 ANLAGIS: Artificial Neuron-like Network based on Learning Automata
Theory and Granular Inference Systems with Applications to Pattern
Recognition, Machine Learning and Multi-robot Intelligent Control

Darío Maravall & Javier de Lope (Departament of Artificial Intelligence. Universidad Politécnica de Madrid, Spain). 

Abstract:

The fusion of artificial neural networks, granular computing and learning automata theory is proposed and we present as a final result ANLAGIS, an adaptive neuron-like network based on learning automata and granular inference systems. ANLAGIS can be applied to both pattern recognition and learning control problems. Another interesting contribution is the distinction between pre-synaptic and post-synaptic learning in artificial neural networks. To illustrate the capabilities of ANLAGIS first some experiments with multi-robot systems are presented and afterwards some experiments on knowledge discovery in data miningand machine learning are also discussed.

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