OPTIMIST: A New Conflict Resoution Algorithm for ACT-R
Roman V. Belavkin · 2004
Several studies have suggested recently that a more dynamic conflict resolution mechanism in the ACT–R cognitive architecture (Anderson & Lebiere, 1998) could improve the decision–making behaviour of cognitive models. This part of ACT–R theory is revisited and a new solution is proposed. The new algorithm (OPTIMIST) has been implemented as an overlay to the ACT–R architecture, and can be used as an alternative mechanism. The operation of the new algorithm is tested in a model of the classical Yerkes and Dodson experiment on animals’ learning. When OPTIMIST is used, the resulting model fits the data better than the previous model (e.g. R 2 increases from.85 to.93 in one example).