  The question how an agent is affected by its embodiment has attracted growing
attention in recent years. A new field of artificial intelligence has emerged,
which is based on the idea that intelligence cannot be understood without
taking into account embodiment. We believe that a formal approach to
quantifying the embodiment's effect on the agent's behaviour is beneficial to
the fields of artificial life and artificial intelligence. The contribution of
an agent's body and environment to its behaviour is also known as morphological
computation. Therefore, in this work, we propose a quantification of
morphological computation, which is based on an information decomposition of
the sensorimotor loop into shared, unique and synergistic information. In
numerical simulation based on a formal representation of the sensorimotor loop,
we show that the unique information of the body and environment is a good
measure for morphological computation. The results are compared to our
previously derived quantification of morphological computation.
