  Animals exploit time to survive in the world. Temporal information is
required for higher-level cognitive abilities such as planning, decision
making, communication, and effective cooperation. Since time is an inseparable
part of cognition, there is a growing interest in the artificial intelligence
approach to subjective time, which has a possibility of advancing the field.
The current survey study aims to provide researchers with an interdisciplinary
perspective on time perception. Firstly, we introduce a brief background from
the psychology and neuroscience literature, covering the characteristics and
models of time perception and related abilities. Secondly, we summarize the
emergent computational and robotic models of time perception. A general
overview to the literature reveals that a substantial amount of timing models
are based on a dedicated time processing like the emergence of a clock-like
mechanism from the neural network dynamics and reveal a relationship between
the embodiment and time perception. We also notice that most models of timing
are developed for either sensory timing (i.e. ability to assess an interval) or
motor timing (i.e. ability to reproduce an interval). The number of timing
models capable of retrospective timing, which is the ability to track time
without paying attention, is insufficient. In this light, we discuss the
possible research directions to promote interdisciplinary collaboration in the
field of time perception.
