Associative computer: a hybrid connectionistic production system

In this paper, we introduce a connectionistic hybrid production system, which relies on the distributed representation and the usage of associative memories. Benefits of the distributed representation include heuristics resulting from pictogram representation. By the usage of associative memory, the model can learn from experience. The behavior of the model is demonstrated by empirical experiments in block world. The hybrid model represents an effort to fill the gap between the statistical models like the artificial neural networks and symbolic models.