Bioinspired computing systems : synthesis and application in computational intelligence and artificial homeostasis / Sistemas computacionais bio-inspirados : sintese e aplicação em inteligencia computacional e homeostase artificial

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

This work proposes a circumstantial classification for complex systems, including a unified description structure to be employed in the analysis and synthesis of biologically inspired computing metaphors. Considered as a branch of organized complex systems, these bio-inspired computing frameworks may be subdivided into computation intelligence systems and artificial homeostatic systems. Developed under this formalism, two novel hybrid systems are conceived and applied to robot autonomous navigation problems. The first approach involves learning classifier systems and artificial immune systems, in an attempt to investigate intrinsic concepts of complex systems as self-organization, evolution, and dynamic cognition. Drawn on the principles of the human nervous, immune and endocrine systems, the second approach envisages a new model of an artificial homeostatic system to explore context changes and environmental effects on the behaviour of an autonomous robotic agent. Though preliminary, the obtained results encompass computer simulation on virtual environments in addition to a number of real robot?s experiments. Relevant conclusions can be invoked, mainly related to the potentiality of the proposed frameworks, thus opening attractive prospects for the synthesis of complex adaptive systems of practical interest

ASSUNTO(S)

sistema imune bioinspired computing systems redes neurais (computação) computational intelligence complex systems homeostase robot autonomous navigation robos moveis artificial homeostasis inteligencia artificial algoritmos geneticos sistema endocrino

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