Human logic is the foundation of human intelligence. Human logic enables a child to give the answer that two times three equals six, if this child has learned that two times three equals three twos added together, and three twos added together equals six. In the past, we assumed that it was easy for a computer to perform a task like this. However, after decades of research, we have recognized that it is very difficult for a computer to perform a common sense task than a comprehensive mathematics task. Human logic is a "built-in" capacity. This capacity is a general system that operates the full range of human cognitive activities. How then, can a computer perform this kind of common sense logic?
Based on the findings of neurophysiological research, Abstract Productions has discovered that human intelligence functions are not actualized by rules, instead they are actualized by a unified innate structure. This structure underlies human logic and can be simulated into the computer infrastructure. Using this simulated logic structure, the computer is able to process information with human-like intelligence.
The structure underlying human logic contains a "surface structure" and a "deep structure" similar to what pioneer linguist Noam Chomsky predicted. This structure provides the "universal grammar", which is human logic. That is, in this unified system all intelligence functions are conducted coherently, including human language. Although the phenomena of human intelligence vary, the mechanism underlying these functions is the same. This unification can be compared with the phenomenon in which electricity and magnetism are unified. When a unified mechanism is understood the phenomena of complexity can be reproduced.
Abstract Productions has constructed a simulated structure based on the unified model of the human logic system. Based on this system a full range of human intelligence functions can be reproduced. These functions are learning, thinking, association, imaging, reasoning, recall, and generalization. Also included are natural language understanding, grammatical processing, context analysis, and disambiguation of content meanings and homophones.
In the field of computational linguistics researchers are searching for solutions to natural language processing. One of the challenges today is to disambiguate homophones and lexicons. Linguistic scholars have realized that it is because of common sense that people are able to figure out what is being said. Abstract Productions offers such a common sense technology to the IT industry.