Progress in AI research: Impact of technology strides

This lecture will present research experience such as immune system, genetic algorithm, particle swarm optimization, bacterial foraging, and its hybrid system and application to real system. This lecture will also show research experience and results of emotion for emotion robot by AI. Additionally, this lecture illustrates immune algorithm and applied to various plant to investigate the characteristics and possibility of application. This lecture will also introduce parameter estimation method by immune algorithm for obtaining model of induction motor. It will suggest immune algorithm based induction motor parameter estimation to obtain optimal value depending on load variation from these parameters. Includes a postscript titled "AI Future Issues Based on Recent and Current Research Experience."