An Approach to Conceptualisation and Semantic Knowledge: Some Preliminary Observations

The paper below takes up the question of whether it is possible to transfer notion ‘semantic knowledge’—as a human process making language generate and confer meanings—to machines, which have as one their properties capability handling high amounts information. This issue presented in an extended introduction paper’s account solutions this intricate problem. Thereafter, theoretical ‘knowledge’ considered its philosophical, thereby scientific, context, basis modern import pointed being Immanuel Kant’s deliberations on priori vs. posteriori knowledge. author’s solution predicament ideas about knowledge proposed theory Occurrence Logic, invented by author, abandons truth-values from valid reasoning, approach briefly accounted for. It presupposes model cognitive systems, author has such under development which, future, may be able solve what knowledge’ actually is. So far, points critical natural semantics can grasped words explaining or must include connection between objects world. favour last option. leads functions brain organ connecting with outer idea so-called ‘predictive brain’ referred brain/cognition issue, concludes suggestion that emulation interaction mentioned systems cast some new light field Artificial Intelligence.