Connectionist modelling

• Based on an abstraction of the brain

• Many simple processors (`neurons')

• Exchange of simple signals over connections (`axons and dendrites')

• Strength (`synapse') of the connections determines functioning of the network

• Such neural networks can be taught a certain range of behaviors