John A. Barnden – författare

This special issue arose out of a symposium on metaphor and artificial intelligence in which the main orientation was computational models and psychological processing models of metaphorical understanding. The papers in this issue discuss:*implemented computational systems for handling different aspects of metaphor understanding;*how metaphor can be accommodated in accepted logical representational frameworks;*psychological processes involved in metaphor understanding; and*the cross-linguistic cognitive reality of conceptual metaphors.

Presenting research on the computational abilities of connectionist, neural, and "neurally inspired" systems, this series emphasizes the question of how connectionist or neural network models can be made to perform rapid, short-term types of computation useful in higher cognitive processes. The most recent volumes are directed mainly at researchers in connectionism, analogy, metaphor, and case-based reasoning, but are also suitable for graduate courses in those areas.