  The rise of deep learning has brought artificial intelligence (AI) to the
forefront. The ultimate goal of AI is to realize machines with human mind and
consciousness, but existing achievements mainly simulate intelligent behavior
on computer platforms. These achievements all belong to weak AI rather than
strong AI. How to achieve strong AI is not known yet in the field of
intelligence science. Currently, this field is calling for a new paradigm,
especially Theory of Cognitive Relativity (TCR). The TCR aims to summarize a
simple and elegant set of first principles about the nature of intelligence, at
least including the Principle of World's Relativity and the Principle of
Symbol's Relativity. The Principle of World's Relativity states that the
subjective world an intelligent agent can observe is strongly constrained by
the way it perceives the objective world. The Principle of Symbol's Relativity
states that an intelligent agent can use any physical symbol system to express
what it observes in its subjective world. The two principles are derived from
scientific facts and life experience. Thought experiments show that they are
important to understand high-level intelligence and necessary to establish a
scientific theory of mind and consciousness. Rather than brain-like
intelligence, the TCR indeed advocates a promising change in direction to
realize true AI, i.e. artificial general intelligence or artificial
consciousness, particularly different from humans' and animals'. Furthermore, a
TCR creed has been presented and extended to reveal the secrets of
consciousness and to guide realization of conscious machines. In the sense that
true AI could be diversely implemented in a brain-different way, the TCR would
probably drive an intelligence revolution in combination with some additional
first principles.
