Metaphor comprehension involves an interaction between the meaning of the t
opic and the vehicle tenus of the metaphor. Meaning is represented by vecto
rs in a high-dimensional semantic space. Predication modifies the topic vec
tor by merging it with selected features of the vehicle vector. The resulti
ng metaphor vector can be evaluated by comparing it with known landmarks in
the semantic space. Thus, metaphorical predication is treated in the prese
nt model in exactly the same way as literal predication. Some experimental
results concerning metaphor comprehension are simulated within this framewo
rk, such as the nonreversibility of metaphors, priming of metaphors with li
teral statements, and priming of literal statements with metaphors.