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We will discuss various connectionist schemes for natural language understanding (NLU). In principle, massively parallel processing schemes, such as connectionist networks, are well-suited for modelling highly integrated forms of processing. The connectionist approach towards natural language...
Some basic principles of connectionist research are explained along with an account of a number of the techniques necessary for constructing connectionist models. The objective is to introduce the area to people with limited mathematical and computational backgrounds by reducing the examples to...
Some connectionists (e.g. Smolensky, 1988) argue that classical AI models offer at best a good approximation to the fine-grained pychological truths revealed by connectionism. Likewise, some conventional AI theorists suggest that connectionism at best displays a new way of implementing the...
Research efforts to study computation and cognitive modeling on neurally-inspired mechanisms have come to be called Connectionism. Rather than being brand new, it is actually the rebirth of a research programme which thrived from the 40s through the 60s and then was severely retrenched in the...
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