The burden of this paper has been to argue for a shift in research priorities, towards  
four cognitive prerequisites for building robust artificial intelligence: hybrid 
architectures that combine large-scale learning with the representational and 
computational powers of symbol-manipulation, large-scale knowledge bases—likely 
leveraging innate frameworks—that incorporate symbolic knowledge along with other 
forms of knowledge, reasoning mechanisms capable of leveraging those knowledge 
bases in tractable ways, and rich cognitive models that work together with those 
mechanisms and knowledge bases.
The Next Decade in AI-