An Artificial Intelligence Model for the Rebirth Process

Abstract

The fundamental doctrine of Buddhism, that all phenomena in the universe are produced by causation. Since all phenomena result from the complicated causes and effects, all existing things in the universe are inter-dependent, i.e., no self nature or existence on its own. Moreover, all phenomena and things are impermanent (i.e. changing constantly) The Law of Cause and Effect treats of the Law of Causal Condition as it relates to an individual. It states that all phenomena arise depending upon a number of causal factors. In other words, it exists in condition that the others exist; it has in condition that others have; it extinguishes in condition that others extinguish; it has not in condition that others have not. The results of actions which produce effects that may be, either good or bad. It is derived from the Law of Causal Condition. The corollary of karma the doctrine that each individual is born into the world again and again to inherit the effects of his deeds, or rather, that by action in this life the individual creates a fresh personality for himself in order that the results of his actions may be fulfilled in a future life. Cell based modeling has already been used to aid the research in the field of Social studies. However it is use has not been extensive. The NetLogo software package provides a research environment and a scripting language for the development of creating the behaviors required for a simulation. More than this, cells in NetLogo are individuated, that is they have their own characteristics and behave independently. This project aims to develop a Modeling of rebirth - probabilistic and deterministic in NetLogo for the simulation of rebirth. The dissertation will give guidance on the creation of Action Selection Mechanisms the method of defining how the behaviors will be executed in a simulation and give worked examples of the final model being used under a variety of formal methods for the development of Action Selection Mechanisms.