Publication Date

Spring 2016


School of Engineering and Computational Sciences


Computer Science


Artificial Intelligence, AI, Neurology, Computer Architecture, Affective Computing, Brain, Synthetic Intelligence, Logic, Emotion, Reason, Social Intelligence, Robot, Robots, Morality, Self-Modification, Aesthetics, Abstraction, Reason, Neural Networks


Applied Behavior Analysis | Biological Psychology | Cognition and Perception | Cognitive Neuroscience | Cognitive Psychology | Computational Engineering | Computational Neuroscience | Computer and Systems Architecture | Data Storage Systems | Digital Circuits | Hardware Systems | Molecular and Cellular Neuroscience | Nervous System | Neuroscience and Neurobiology | Personality and Social Contexts | Robotics | Sense Organs | Social Psychology | Systems Neuroscience


Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced beyond our own. When striving to achieve the ideal form of AI and revolutionize our computer architecture, where else should one look than the design of the brain? This paper will give a brief history of artificial intelligence, define ideal AI by a set of criteria, discuss the philosophical implications and moral issues of attempting to create a synthetic human, analyze the similarities between the brain’s architecture and computer architecture, postulate a design approach for engineering this “ideal AI”, and discuss the applications and consequences of such technology.