Abstract
We propose an <I>Artificial Immune System</I> (AIMS) <I>model using the cytokine reaction</I> to navigate an autonomous mobile robot in a fluctuating environment. AIMS extracts the biological immune system mechanism adjusting macroscopic idiotype network behavior using cytokines. Such behavior for autonomous mobile robots is defined as the topology of a set of selected actions per unit time. Topology adjustment is important, because describing all possible actions for large fluctuating environments may cause a frame problem. To design the AIMS of the action extractor and the macroscopic behavior adjuster, we study influences of environmental parameters. Basic experiments showed that the action extractor must take into account the effect of <I>the number of Relating Strict antibodies</I> (nRS), a feature value of the AIMS antibody and that prior knowledge about the relationship between macroscopic behavior and environmental parameters enables efficient adjustment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
