TWO STRAINS IN BUDDHIST CAUSALITY

This essay will focus on the Buddhist metaphysics of experience which is generally glossed over due to the excessive concern for the ultimate goal in Buddhism, nirvīna , and in consequence of which the emphasis has been on the practice of; meditative discipline in aspiration for that goal. Yet neither nirvana nor meditative discipline can be understood properly without examining the full dimension of our ordinary experience. Such an examination should reveal to us the unique ways in which the Buddhist refers to the bounded and unbounded conditions of existence. All this is novel insofar as metaphysics goes and indeed it would have to be a unique form of metaphysics in order to accommodate the dual aspect of existence. The key to this metaphysics lodges in the Buddhist concept of experiential process,¹ technically known as pratītyasamutpāda which is variously translated as relational origination, interrelational origination or dependent origination. It refers to the Buddhist concept of causality but, as we shall see, it is a unique concept with more than the usual Western connotation.     

Perceptual Categorization: Connectionist Modelling and Decision Rules

Although it is currently popular to model human associative learning using connectionist networks, the mechanism by which their output activations are converted to probabilities of response has received relatively little attention. Several possible models of this decision process are considered here, including a simple ratio rule, a simple difference rule, their exponential versions, and a winner-take-all network. Two categorization experiments that attempt to dissociate these models are reported. Analogues of the experiments were presented to a single-layer, feed-forward, delta-rule network. Only the exponential ratio rule and the winner-take-all architecture, acting on the networks' output activations that corresponded to responses available on test, were capable of fully predicting the mean response results. In addition, unlike the exponential ratio rule, the winner-take-all model has the potential to predict latencies. Further studies will be required to determine whether latencies produced under more stringent conditions conform to the model's predictions.