On cognition, adaptation and homeostasis : analysis and synthesis of bio-inspired computational tools applied to robot autonomous navigation / Sobre cognição, adaptação e homeostase : uma analise de ferramentas computacionais bioinspiradas aplicadas a navegação autonoma de robos
AUTOR(ES)
Renan Cipriano Moioli
DATA DE PUBLICAÇÃO
2008
RESUMO
The objectives of this work are to study, develop and apply two bio-inspired computational tools in robot autonomous navigation. The first tool is represented by Learning Classifier Systems, using the strength-based and the accuracy-based models. Additionally, the rule evolution mechanisms and the final evolved populations are analyzed. The second tool is a model called evolutionary artificial homeostatic system, composed of two NSGasNet recurrent artificial neural networks and an artificial endocrine system. The parameters adjustment is made by means of evolution, reducing the necessity of a priori coding and parametrization. Analysis of the system s peculiarities and its adaptation capability are made. The motivation of both proposals is on the concurrent use of evolution and learning, steps considered fundamental for the synthesis of complex adaptive systems and the computational modeling of cognitive processes. The experiments, which aim to validate both proposals, involve computational simulation in virtual environments and implementations on real Khepera II robots
ASSUNTO(S)
inteligencia artificial artificial neural networks redes neurais (computação) sistemas inteligentes de controle learning classifier system evolutionary robotics artificial homeostatic system computação evolutiva homeostase reactive and non reactive behaviour robos moveis
