Artificial Intelligence Is Stuck in the Mud

Encyclopædia Britannica defines artificial intelligence (AI) as the ability of a robot to perform human tasks, which are commonly associated with intelligent beings who are ‘endowed’ with the intellectual processes such as the ability to reason, discover meaning, generalize, or learn from experience. Today, AI has attained the level of human experts and professionals and is performing diverse medical diagnosis, computer search engines, and voice or handwriting recognition.

All but the simplest human behavior is ascribed to intelligence, while the most complicated insect behavior is not viewed as intelligence because the digger wasp, for instance, is endowed only with one trait. This trait allows this wasp to adapt to new circumstances. On the other hand, psychologists believe that human intelligence has more than one trait. They say that humans have different traits such as learning, reasoning, problem solving, perceiving, and creating sign and symbolic languages.

Trial and error (rote) and generalizing past experiences to identify new situations are examples of human learning. To reason is to infer from deduction or induction. Problem solving identifies a range of possible actions that would reach some goal, solution, or specific/general purpose. Perceiving scans the environment to find an object by real with an artificial organ such as an optical sensor. A sign language is a system of signs whose meanings are conventional. A traffic sign is an example of a convention. Symbolic languages can build knowledge by formulating an unlimited variety of proven statements.

Research in AI follows two approaches. One is the symbolic (or "top_down") approach. It seeks to replicate intelligence by analyzing cognition independent of the biological structure of the brain. Cognition is determined with symbols. The second is the connectionist (or "bottom_up") approach. It creates artificial neural networks that imitate the brain's structure. None of these approaches are widely accepted.

AI says that the endower of the traits of the lower animals and humans is Nature, not God. Thus, AI is a follower of evolutionary theory and does not consider God in its research or development projects. This is an error for two reasons. First, the intelligence of man is expanded always. This continual expansion is occurring because God appears in our world as the Son of God to expand our knowledge. Second, the cognition of man, when studied independent of the biological structure, cannot be known truly because both mind and brain must function together. Mind and brain are thus functionally related. So, AI is ‘stuck in the mud’ and will stay there until it recognizes that God exists and is active. I show this existence and God’s activity in my book, The First Scientific Proof of God. Two years befor my book, I reviewed an Amazon.com book by Sussane Langer on 'Philosophy in a New Key.' Click and Scroll My review of this book was informing all scientists about the symbolism of reasoning. I don't believe that AI got my message. I conclude that the symbolic 'top_down' approach fails because God is not being considered in determining human cognition. I conclude that the bottom_up approach is silly.