LAUSR

Abstract The Inhibited Elements Model (IEM) is an associative learning theory with an elemental stimulus representation and normalised amount of activation. At present, an evaluation of the model has been difficult as the IEM was originally described and specified only for one learning task (biconditional discriminations) and later discussions also concerned only selected learning problems and stimulus configurations. The main aim of the current paper is to derive a complete mathematical description of the IEM, including crucially a mathematical solution for the extrapolation of the stimulus representation of the IEM for any given stimulus configuration. Exemplary simulations support the adequateness of the implementation within the Associative Learning Simulator (ALTSim) both for replicating existing predictions of the model as well as for generating new ones.