It is known that the behavior of worker honeybees inside the hive is affect
ed by many factors, such as temperature, age, and number of workers. That i
s, brain signals for controlling their behavior depend not only on the inne
r body condition, but also on the environment. In order to investigate the
behavior within the hive, the single-individual trailing (SIT) method has b
een applied to record the time-varying behavior of honeybees. In this study
, behavior of worker honeybees was represented as a Markov process from the
SIT data. Various behaviors with same statistical properties could be gene
rated by this mathematical description. This model could be applied not onl
y for reproduction of worker behavior in the hive, but also for study about
the neural basis behavioral control. (C) 2001 Elsevier Science B.V. All ri
ghts reserved.