DEVELOPMENTAL APPROACHES TO AGI
- Symbolic – such as Cyc, SOAR and ACT-R discussed in Chapter 6.
- Emergentist – a sub-symbolic approach akin to the low-level neuron/synapse model of the brain from which other properties and capabilities emerge. The IBM Blue Brain project (Markham, 2006) is an example of the more computational neuroscience orientated approach.
- Hybrid – a hybrid of the above two approaches using elements of each in combination, e.g. Goertzel’s CogPrime described in Chapter 6, although lacking the elegance and simplicity of a single approach.
- Universalist – a more theoretical approach based on creating the ‘ideal’ program given enough computing power to iteratively evolve it. Hutter’s AIXI system (Hutter, 2004) is an example (although it bears a frightening resemblance to Douglas Adam’s ‘nice hot cup of tea’ approach to creating the infinite improbability drive).
THE AGI LEVEL TESTS
- the Turing Test as implemented in a ‘Gold’ Loebner Prize type competition (see Chapter 5, involving both natural language conversation and audio-visual presentation and understanding);
- the coffee test – just going into a typical (virtual?) house and making a cup of coffee;
- the On-Line Student Test - an AGI taking an on-line/MOOC style course as though an ordinary student;
- the robot college student test – enrolling and taking classes just like any other student; and
- the employment test – being able to perform an ‘economically important’ job;
- the Artificial Scientist Test - being able to perform a scientific research job;
- the Nobel Prize test - winning the Nobel prize!