  This paper is an analysis of the different methods proposed to achieve AGI,
including Human Brain Emulation, AIXI and Integrated Cognitive Architecture.
First, the definition of AGI as used in this paper has been defined, and its
requirements have been stated. For each proposed method mentioned, the method
in question was summarized and its key processes were detailed, showcasing how
it functioned. Then, each method listed was analyzed, taking various factors
into consideration, such as technological requirements, computational ability,
and adequacy to the requirements. It was concluded that while there are various
methods to achieve AGI that could work, such as Human Brain Emulation and
Integrated Cognitive Architectures, the most promising method to achieve AGI is
Integrated Cognitive Architectures. This is because Human Brain Emulation was
found to require scanning technologies that will most likely not be available
until the 2030s, making it unlikely to be created before then. Moreover,
Integrated Cognitive Architectures has reduced computational requirements and a
suitable functionality for General Intelligence, making it the most likely way
to achieve AGI.
