The basic idea in connectionist models is that intelligence is an emergent property and high-level tasks, such as recognition or association between patterns, arise automatically as a result of this activity propagation by the rather elemental operations of interconnected simple processing units. Similarly, learning is done at the connection level through simple operations, for instance, according to the Hebbian rule, without any need for a higher-level programmer.
