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We propose an  Artificial Immune System  (AIMS)  model using the cytokine reaction  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  the number of Relating Strict antibodies  (nRS), a feature value of the AIMS antibody and that prior knowledge about the relationship between macroscopic behavior and environmental parameters enables efficient adjustment.

A Study on Autonomous Mobile Robot Behavior Adjustment Using a Cytokine Reaction Model