Before revision:  The key insight is that rich semantic representations of individual concepts and relations , coupled with a generic prior favoring isomorphic mappings, yield human-like analogical mapping .
After revision:  We also show the potential for extending the model to deal with analog retrieval. Our approach demonstrates that human-like analogical mapping can emerge from comparison mechanisms applied to rich semantic representations of individual concepts and relations , coupled with a generic prior favoring isomorphic mappings, yield human-like analogical mapping .